The amount of data in the world seems increasing and computers make it easy to save the data. Companies offer data storage by providing cloud services and the amount of data being stored in these servers is increasing rapidly. In data mining, the data is stored electronically and the search is automated or at least augmented by computer. As the volume of data increases, inexorably, the proportion of it that people understand decreases alarmingly. This paper presents the data leakage problem arises because the services like Facebook and Google store all your data unencrypted on their servers, making it easy for them, or governments and hackers, to monitor the data.
Dealing with Data Breaches Amidst Changes In TechnologyCSCJournals
The document discusses data breaches and cybersecurity measures to prevent them. It begins by defining a data breach and describing major causes from cases at companies like Adobe, eBay, Facebook, and Myspace. It then discusses types of data breaches like ransomware, denial of service attacks, phishing, malware, insider threats, physical theft, and employee errors. Finally, it proposes cybersecurity measures organized into technical practices, organizational practices, and policies/standards to help prevent future breaches.
Cryptographic techniques can help reduce threats to information security from industrial espionage, e-commerce, and private networks. They encrypt data during transmission and storage to prevent unauthorized access. For industrial espionage, cryptographic file systems and virtual private networks (VPNs) encrypt data. For e-commerce, digital signatures and secure socket layers (SSLs) provide encryption. Private networks can use firewalls and network intrusion detection systems to monitor traffic. However, cryptographic techniques are not effective against threats like theft, pickpocketing, or stolen vehicles where information is in physical rather than digital form.
Erkan Kahraman, Chief Trust Officer at Projectplace, gave a presentation on cloud services and security. He discussed Projectplace's security program and ecosystem which covers all aspects of cloud risks. Top customer concerns with cloud include legislation, privacy, security, and data ownership. The chief threats to cloud security are data breaches, loss, and account hijacking. Security measures discussed included encryption, access control, and monitoring. Ensuring customer trust requires considering location of data, terms of service, retention policies, and other factors. Government access to data varies by country and transparency reports provide some insight into requests.
Analyst Report: The Digital Universe in 2020 - ChinaEMC
This IDC Country Brief discusses China, where the amount of data created, replicated, and consumed each year will grow 24-fold between 2012 and 2020, according to the 2012 IDC Digital Universe study, sponsored by EMC.
The Internet is driving force on how we communicate with one another, from posting messages and images to Facebook or “tweeting” your activities from your vacation. Today it is being used everywhere, now imagine a device that connects to the internet sends out data based on its sensors, this is the Internet-ofThings, a connection of objects with a plethora of sensors. Smart devices as they are commonly called, are invading our homes. With the proliferation of cheap Cloud-based IoT Camera use as a surveillance system to monitor our homes and loved ones right from the palm of our hand using our smartphones. These cameras are mostly white-label product, a process in which the product comes from a single manufacturer and bought by a different company where they are re-branded and sold with their own product name, a method commonly practice in the retail and manufacturing industry. Each Cloud-based IoT cameras sold are not properly tested for security. The problem arises when a hacker, hacks into the Cloud-based IoT Camera sees everything we do, without us knowing about it. Invading our personal digital privacy. This study focuses on the vulnerabilities found on White-label Cloud-based IoT Camera on the market specifically on a Chinese brand sold by Shenzhen Gwelltimes Technology. How this IoT device can be compromised and how to protect our selves from such cyber-attacks.
The 5 Biggest Cybersecurity Trends In 2020 Everyone Should Know AboutBernard Marr
The vital role that cybersecurity plays in protecting our privacy, rights, freedoms, and everything up to and including our physical safety will be more prominent than ever during 2020.
This document summarizes security breaches of personal health information that were reported to the U.S. Department of Health and Human Services in 2009 and 2010. It provides two tables listing over 50 security breaches in the United States during these years, with the state, approximate number of individuals affected, and date of each breach. The greatest losses from security breaches result from unauthorized access, modification or theft of confidential information, as well as lack of data availability. Protecting the confidentiality, integrity and availability of data is important for database security.
Dealing with Data Breaches Amidst Changes In TechnologyCSCJournals
The document discusses data breaches and cybersecurity measures to prevent them. It begins by defining a data breach and describing major causes from cases at companies like Adobe, eBay, Facebook, and Myspace. It then discusses types of data breaches like ransomware, denial of service attacks, phishing, malware, insider threats, physical theft, and employee errors. Finally, it proposes cybersecurity measures organized into technical practices, organizational practices, and policies/standards to help prevent future breaches.
Cryptographic techniques can help reduce threats to information security from industrial espionage, e-commerce, and private networks. They encrypt data during transmission and storage to prevent unauthorized access. For industrial espionage, cryptographic file systems and virtual private networks (VPNs) encrypt data. For e-commerce, digital signatures and secure socket layers (SSLs) provide encryption. Private networks can use firewalls and network intrusion detection systems to monitor traffic. However, cryptographic techniques are not effective against threats like theft, pickpocketing, or stolen vehicles where information is in physical rather than digital form.
Erkan Kahraman, Chief Trust Officer at Projectplace, gave a presentation on cloud services and security. He discussed Projectplace's security program and ecosystem which covers all aspects of cloud risks. Top customer concerns with cloud include legislation, privacy, security, and data ownership. The chief threats to cloud security are data breaches, loss, and account hijacking. Security measures discussed included encryption, access control, and monitoring. Ensuring customer trust requires considering location of data, terms of service, retention policies, and other factors. Government access to data varies by country and transparency reports provide some insight into requests.
Analyst Report: The Digital Universe in 2020 - ChinaEMC
This IDC Country Brief discusses China, where the amount of data created, replicated, and consumed each year will grow 24-fold between 2012 and 2020, according to the 2012 IDC Digital Universe study, sponsored by EMC.
The Internet is driving force on how we communicate with one another, from posting messages and images to Facebook or “tweeting” your activities from your vacation. Today it is being used everywhere, now imagine a device that connects to the internet sends out data based on its sensors, this is the Internet-ofThings, a connection of objects with a plethora of sensors. Smart devices as they are commonly called, are invading our homes. With the proliferation of cheap Cloud-based IoT Camera use as a surveillance system to monitor our homes and loved ones right from the palm of our hand using our smartphones. These cameras are mostly white-label product, a process in which the product comes from a single manufacturer and bought by a different company where they are re-branded and sold with their own product name, a method commonly practice in the retail and manufacturing industry. Each Cloud-based IoT cameras sold are not properly tested for security. The problem arises when a hacker, hacks into the Cloud-based IoT Camera sees everything we do, without us knowing about it. Invading our personal digital privacy. This study focuses on the vulnerabilities found on White-label Cloud-based IoT Camera on the market specifically on a Chinese brand sold by Shenzhen Gwelltimes Technology. How this IoT device can be compromised and how to protect our selves from such cyber-attacks.
The 5 Biggest Cybersecurity Trends In 2020 Everyone Should Know AboutBernard Marr
The vital role that cybersecurity plays in protecting our privacy, rights, freedoms, and everything up to and including our physical safety will be more prominent than ever during 2020.
This document summarizes security breaches of personal health information that were reported to the U.S. Department of Health and Human Services in 2009 and 2010. It provides two tables listing over 50 security breaches in the United States during these years, with the state, approximate number of individuals affected, and date of each breach. The greatest losses from security breaches result from unauthorized access, modification or theft of confidential information, as well as lack of data availability. Protecting the confidentiality, integrity and availability of data is important for database security.
Design and Implementation of algorithm for detecting sensitive data leakage i...dbpublications
This document contains summaries of several articles on privacy-preserving detection of sensitive data exposure and data leakage. The summaries discuss how data leakage is an increasing problem, often caused by human error, and describe techniques like using sensitive data digests and fuzzy fingerprints to enable detection of leaks while preserving privacy. The advantage of these methods is they allow data owners to delegate detection to third parties without revealing the sensitive data. The evaluations indicate the methods can accurately detect leaks with few false alarms in different data leakage scenarios.
Cyber security: challenges for society- literature reviewIOSR Journals
This document summarizes challenges related to cyber security for society based on a literature review. It discusses how cyber security plays an important role in technology development and internet services. Key challenges include a lack of coordination between security agencies and critical IT infrastructure, as well as widespread computer illiteracy in some countries like India that has led to increased cybercrime. The document also reviews common approaches to IT security risk analysis and discusses threats to cyber security such as cyber attacks aimed at damaging systems and cyber exploitation for unlawful purposes.
The emergence of cloud computing has changed perception of all regarding software delivery, development models and infrastructure. Cloud computing has a potential of providing elastic, easily manageable, powerful and cost-effective solutions. The rapid transition to cloud computing has fueled concerns on the security issues. The migration of the user’s data and applications in a shared environment of a cloud, where there is a collocation of several users increases security related concerns. Several research efforts have been made in evaluating challenges related to security faced by the cloud computing environments, a number of solutions of such problems have also been proposed. Integrated security solutions should be devised to deal with the increasing security risks. In this paper, a detailed cloud computing survey, key services and concepts are being presented. This paper attempts to evaluate various security threats to cloud computing and a number of security solutions have also been discussed. Furthermore, a brief view of the cloud security regulatory bodies and compliance have also been presented. Despite the research efforts in cloud security field, there are still some open research problems and challenges which are discussed in this paper.
Cybersecurity Business Risk, Literature ReviewEnow Eyong
Cybersecurity poses a significant business risk to social media corporations. These companies generate revenue through targeted advertising based on analyzing user information and engagement. However, cybersecurity threats could diminish the customer experience and engagement, reducing companies' ability to generate revenue. Social media sites must implement best practices from fields like the military to strengthen cyber defense, including developing reliable information systems, collecting intelligence on cyber criminals, and understanding potential cyber attack threats. Failure to address cybersecurity risks could jeopardize the success and sustainability of social media businesses.
In this presentation, Haripriya introduces the topic of SMAC and moves on to the problem area of storage in cloud. Her interest area lies in developing algorithms that make cloud storage safer.
This document discusses two major data security breaches - the 2014 Sony Pictures hack and the 2014 Staples data breach. The Sony hack involved a malware attack that stole 100TB of data including unreleased films and employee emails. It cost Sony an estimated $1.25 billion. The Staples breach saw 1.16 million customer payment cards compromised over 6 months. Both could have been prevented with better security practices like network isolation, encryption, and prompt patching of vulnerabilities. The document emphasizes the importance of data security for companies.
This document discusses the challenges of intellectual property (IP) protection with cloud computing. It provides background on cloud computing and how it is transforming computing. Some key challenges discussed include determining copyright infringement when software is downloaded from the cloud rather than purchased, issues around trade secrets and confidential data when information is stored in the cloud, and security issues regarding virtual machines and IP spoofing. The document also reviews literature on these topics and discusses India's laws around data privacy and their limitations in fully addressing privacy in cloud computing.
The document proposes a framework to improve security for digital libraries in cloud environments. It discusses security issues when storing data in clouds, including confidentiality, integrity, and availability. The proposed model aims to provide multi-level security for information in clouds and resistance against various attacks. It covers threats like unauthorized access, session hijacking, denial of service attacks, and cross-site scripting. The goal is to present a solution to prevent security threats and hackers on digital library systems using cloud computing.
SQL Vulnerability Prevention in Cybercrime using Dynamic Evaluation of Shell and Remote File Injection Attacks R. Ravi,
Department of Computer Science & Engineering,
Francis Xavier Engineering College, Tamil Nadu, India
Dr. Beulah Shekhar,
Department of Criminology,
Manonmanium Sundaranar University, Tamil Nadu, India
This white paper examines the need for strong authentication and explores the return on investment that can be realized in order to help organizations move toward more effective security.
OverseeCyberSecurityAsHackersSeekToInfiltrateKashif Ali
This document discusses cyber security threats and their impact. It provides an overview of some growing cyber risks and how they can threaten the development of the information society. It argues that increased cooperation and information sharing between cyber security groups is needed to effectively address these challenges. Senior executives and governments must play a leading role in overseeing cyber security and minimizing risks through effective IT governance and strategic alignment of security systems. Overall cyber threats are increasing and declining trust in internet users, so concerted efforts are needed from all stakeholders to promote a more secure information environment.
File-sharing and synchronization (FSS) tools are widely used today and will represent a Total Available Market of $106 billion by 2017. However, most FSS tools lack enterprise-grade features and create risks for organizations. While common tools work as advertised, they lack IT control, compliance, security capabilities. Organizations should deploy enterprise-grade FSS solutions to mitigate risks from commonly used tools and gain needed control and compliance features.
International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
This document analyzes data from the Shodan search engine to summarize exposed cyber assets in the top 10 largest US cities by population. It finds that while New York City has a larger population than Houston, Houston has over 3 times as many exposed assets. The majority of exposed devices run embedded Linux and are connected via Ethernet/modem. Common exposed device types include firewalls, webcams, wireless access points, printers, routers, and phones. The document aims to increase awareness of exposed devices and associated security risks.
The document discusses security risks related to mobile devices used by lawyers and law firms. It notes that hundreds of laptops, storage devices, and handheld devices containing confidential information have been lost or stolen from government agencies in recent years. The document provides guidance on securing documents, passwords, encryption, metadata, and various mobile devices including laptops, USB drives, portable hard drives, phones and PDAs to protect confidential client information that may be stored or transferred using these devices. It emphasizes the importance of training staff, developing computer use policies, and balancing security needs with work demands.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
OneTK: Key Distribution Center at Cloud Providers towards End to End, Securit...Editor IJMTER
Using End to End Connection in packet Switching networks for providing higher
security in Cloud Computing. In cloud computing a major role is provide security to services that
may be PaaS( Platform as a Service), SaaS( Software as a Service) , CaaS( Communication as a
Service) , IaaS( Infrastructure as a Services) , MaaS ( Monitoring as a Service)n, XaaS( X: Platform,
Software, Monitoring, Infrastructure). Cloud computing provides wide range of services. Large,
Small and medium businesses are depending on out sourcing of data services and computation on
cloud this is mainly deals with SaaS. The cloud provides a very high efficient service for the business
organizations. These business organizations trust cloud service providers on their data security. But
providing security is highly risk in cloud through the third party, especially in private cloud services.
Existing data security methods are not so effective. By using this End to End Connection and Session
Keys and attempts is to be covered secularism in the area of Cloud computing users.
A new approach for securing the data from cloud. OTK – “One Time Key Distribution File” is a
service that protects unauthorized file downloading form the cloud.
Project for creating a visual system to provide information of when what and why of a data breach. This system is also designed to create awareness about privacy of information.
Master Thesis Security in Distributed Databases- Ian LeeIan Lee
This document provides an overview of security issues related to distributed database management systems (DDBMS). It defines what a DDBMS is and discusses some of its advantages over centralized database systems, but also notes DDBMS can be more complex and vulnerable to security threats. The document outlines several questions around DDBMS security strategies and improving processes. It conducted a literature review on the topic and interviewed security experts and former hackers to understand motivations and challenges. The goal is to analyze trends in DDBMS security and consider its future.
HYBRIDIZED MODEL FOR DATA SECURITY BASED ON SECURITY HASH ANALYSIS (SHA 512) ...IJNSA Journal
High-profile security breaches and attacks on many organization’s database have been on the increase and the consequences of this, are the adverse effect on the organizations in terms of financial loss and reputation. Many of the security breaches has been ascribed to the vulnerability of the organization’s networks, security policy and operations. Additionally, the emerging technology solutions like Internet-ofThings (IoT), Artificial Intelligence, and Cloud Computing, has extremely exposed many of the organizations to different forms of cyber-threats and attacks. Researchers and system designers have made attempts to proffer solution to some of these challenges. However, the efficacy of the techniques remains a great concern due to insufficient control mechanisms. For instance, many of the techniques are majorly based on a single mode encryption techniques which are not too robust to withstand the threats and attacks on organization’s database. To proffer solution to these challenges, the current research designed and integrated a hybridized data security model based on Secured Hash Analysis (SHA 512) and Salting Techniques to enhance the adeptness of the existing techniques. The Hash Analysis algorithm was used to map the data considered to a bit string of a fixed length and salt was added to the password strings essentially to hide its real hash value. The idea of adding salt to the end of the password is basically to complicate the password cracking process. The hybridized model was implemented in Windows environment using python 3.7 IDE platform and tested on a dedicated Local Area Network (LAN) that was exposed to threats from both internal and external sources. The results from the test show that the model performed well in terms of efficiency and robustness to attacks. The performance of the new model recorded a high level of improvement over the existing techniques with a recital of 97.6%.
Collusion Attack: A Kernel-Based Privacy Preserving Techniques in Data Miningdbpublications
Data leakage happens whenever a system that is designed to be closed to an eavesdropper reveals some information to unauthorized parties. We know that for business purpose, it is necessary to transfer important data among many business partner and between the numbers of employees. But during this transfer of data, information is reach to unauthorized person. So it is very challenging and necessary to find leakage and guilty person responsible for information leakage. In this system we find the person which is responsible for the leakage of text as well as image file. For this we used distributor and agent. Distributor means owner of data and agents means trusted parties to whom we send data. This system finds the insider collusion attack. An insider attack is a malicious threat to an organization that come from people within the organization such as employees, contractor or business associate, who have inside information concerning the organization’s security practices, data and computer system. The main aim of this system is to find data of owner which is leaked and detect agent who leaked data. Here for text data we used kernel based algorithm and for image file we used steganography concept.
Design and Implementation of algorithm for detecting sensitive data leakage i...dbpublications
This document contains summaries of several articles on privacy-preserving detection of sensitive data exposure and data leakage. The summaries discuss how data leakage is an increasing problem, often caused by human error, and describe techniques like using sensitive data digests and fuzzy fingerprints to enable detection of leaks while preserving privacy. The advantage of these methods is they allow data owners to delegate detection to third parties without revealing the sensitive data. The evaluations indicate the methods can accurately detect leaks with few false alarms in different data leakage scenarios.
Cyber security: challenges for society- literature reviewIOSR Journals
This document summarizes challenges related to cyber security for society based on a literature review. It discusses how cyber security plays an important role in technology development and internet services. Key challenges include a lack of coordination between security agencies and critical IT infrastructure, as well as widespread computer illiteracy in some countries like India that has led to increased cybercrime. The document also reviews common approaches to IT security risk analysis and discusses threats to cyber security such as cyber attacks aimed at damaging systems and cyber exploitation for unlawful purposes.
The emergence of cloud computing has changed perception of all regarding software delivery, development models and infrastructure. Cloud computing has a potential of providing elastic, easily manageable, powerful and cost-effective solutions. The rapid transition to cloud computing has fueled concerns on the security issues. The migration of the user’s data and applications in a shared environment of a cloud, where there is a collocation of several users increases security related concerns. Several research efforts have been made in evaluating challenges related to security faced by the cloud computing environments, a number of solutions of such problems have also been proposed. Integrated security solutions should be devised to deal with the increasing security risks. In this paper, a detailed cloud computing survey, key services and concepts are being presented. This paper attempts to evaluate various security threats to cloud computing and a number of security solutions have also been discussed. Furthermore, a brief view of the cloud security regulatory bodies and compliance have also been presented. Despite the research efforts in cloud security field, there are still some open research problems and challenges which are discussed in this paper.
Cybersecurity Business Risk, Literature ReviewEnow Eyong
Cybersecurity poses a significant business risk to social media corporations. These companies generate revenue through targeted advertising based on analyzing user information and engagement. However, cybersecurity threats could diminish the customer experience and engagement, reducing companies' ability to generate revenue. Social media sites must implement best practices from fields like the military to strengthen cyber defense, including developing reliable information systems, collecting intelligence on cyber criminals, and understanding potential cyber attack threats. Failure to address cybersecurity risks could jeopardize the success and sustainability of social media businesses.
In this presentation, Haripriya introduces the topic of SMAC and moves on to the problem area of storage in cloud. Her interest area lies in developing algorithms that make cloud storage safer.
This document discusses two major data security breaches - the 2014 Sony Pictures hack and the 2014 Staples data breach. The Sony hack involved a malware attack that stole 100TB of data including unreleased films and employee emails. It cost Sony an estimated $1.25 billion. The Staples breach saw 1.16 million customer payment cards compromised over 6 months. Both could have been prevented with better security practices like network isolation, encryption, and prompt patching of vulnerabilities. The document emphasizes the importance of data security for companies.
This document discusses the challenges of intellectual property (IP) protection with cloud computing. It provides background on cloud computing and how it is transforming computing. Some key challenges discussed include determining copyright infringement when software is downloaded from the cloud rather than purchased, issues around trade secrets and confidential data when information is stored in the cloud, and security issues regarding virtual machines and IP spoofing. The document also reviews literature on these topics and discusses India's laws around data privacy and their limitations in fully addressing privacy in cloud computing.
The document proposes a framework to improve security for digital libraries in cloud environments. It discusses security issues when storing data in clouds, including confidentiality, integrity, and availability. The proposed model aims to provide multi-level security for information in clouds and resistance against various attacks. It covers threats like unauthorized access, session hijacking, denial of service attacks, and cross-site scripting. The goal is to present a solution to prevent security threats and hackers on digital library systems using cloud computing.
SQL Vulnerability Prevention in Cybercrime using Dynamic Evaluation of Shell and Remote File Injection Attacks R. Ravi,
Department of Computer Science & Engineering,
Francis Xavier Engineering College, Tamil Nadu, India
Dr. Beulah Shekhar,
Department of Criminology,
Manonmanium Sundaranar University, Tamil Nadu, India
This white paper examines the need for strong authentication and explores the return on investment that can be realized in order to help organizations move toward more effective security.
OverseeCyberSecurityAsHackersSeekToInfiltrateKashif Ali
This document discusses cyber security threats and their impact. It provides an overview of some growing cyber risks and how they can threaten the development of the information society. It argues that increased cooperation and information sharing between cyber security groups is needed to effectively address these challenges. Senior executives and governments must play a leading role in overseeing cyber security and minimizing risks through effective IT governance and strategic alignment of security systems. Overall cyber threats are increasing and declining trust in internet users, so concerted efforts are needed from all stakeholders to promote a more secure information environment.
File-sharing and synchronization (FSS) tools are widely used today and will represent a Total Available Market of $106 billion by 2017. However, most FSS tools lack enterprise-grade features and create risks for organizations. While common tools work as advertised, they lack IT control, compliance, security capabilities. Organizations should deploy enterprise-grade FSS solutions to mitigate risks from commonly used tools and gain needed control and compliance features.
International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
This document analyzes data from the Shodan search engine to summarize exposed cyber assets in the top 10 largest US cities by population. It finds that while New York City has a larger population than Houston, Houston has over 3 times as many exposed assets. The majority of exposed devices run embedded Linux and are connected via Ethernet/modem. Common exposed device types include firewalls, webcams, wireless access points, printers, routers, and phones. The document aims to increase awareness of exposed devices and associated security risks.
The document discusses security risks related to mobile devices used by lawyers and law firms. It notes that hundreds of laptops, storage devices, and handheld devices containing confidential information have been lost or stolen from government agencies in recent years. The document provides guidance on securing documents, passwords, encryption, metadata, and various mobile devices including laptops, USB drives, portable hard drives, phones and PDAs to protect confidential client information that may be stored or transferred using these devices. It emphasizes the importance of training staff, developing computer use policies, and balancing security needs with work demands.
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.
OneTK: Key Distribution Center at Cloud Providers towards End to End, Securit...Editor IJMTER
Using End to End Connection in packet Switching networks for providing higher
security in Cloud Computing. In cloud computing a major role is provide security to services that
may be PaaS( Platform as a Service), SaaS( Software as a Service) , CaaS( Communication as a
Service) , IaaS( Infrastructure as a Services) , MaaS ( Monitoring as a Service)n, XaaS( X: Platform,
Software, Monitoring, Infrastructure). Cloud computing provides wide range of services. Large,
Small and medium businesses are depending on out sourcing of data services and computation on
cloud this is mainly deals with SaaS. The cloud provides a very high efficient service for the business
organizations. These business organizations trust cloud service providers on their data security. But
providing security is highly risk in cloud through the third party, especially in private cloud services.
Existing data security methods are not so effective. By using this End to End Connection and Session
Keys and attempts is to be covered secularism in the area of Cloud computing users.
A new approach for securing the data from cloud. OTK – “One Time Key Distribution File” is a
service that protects unauthorized file downloading form the cloud.
Project for creating a visual system to provide information of when what and why of a data breach. This system is also designed to create awareness about privacy of information.
Master Thesis Security in Distributed Databases- Ian LeeIan Lee
This document provides an overview of security issues related to distributed database management systems (DDBMS). It defines what a DDBMS is and discusses some of its advantages over centralized database systems, but also notes DDBMS can be more complex and vulnerable to security threats. The document outlines several questions around DDBMS security strategies and improving processes. It conducted a literature review on the topic and interviewed security experts and former hackers to understand motivations and challenges. The goal is to analyze trends in DDBMS security and consider its future.
HYBRIDIZED MODEL FOR DATA SECURITY BASED ON SECURITY HASH ANALYSIS (SHA 512) ...IJNSA Journal
High-profile security breaches and attacks on many organization’s database have been on the increase and the consequences of this, are the adverse effect on the organizations in terms of financial loss and reputation. Many of the security breaches has been ascribed to the vulnerability of the organization’s networks, security policy and operations. Additionally, the emerging technology solutions like Internet-ofThings (IoT), Artificial Intelligence, and Cloud Computing, has extremely exposed many of the organizations to different forms of cyber-threats and attacks. Researchers and system designers have made attempts to proffer solution to some of these challenges. However, the efficacy of the techniques remains a great concern due to insufficient control mechanisms. For instance, many of the techniques are majorly based on a single mode encryption techniques which are not too robust to withstand the threats and attacks on organization’s database. To proffer solution to these challenges, the current research designed and integrated a hybridized data security model based on Secured Hash Analysis (SHA 512) and Salting Techniques to enhance the adeptness of the existing techniques. The Hash Analysis algorithm was used to map the data considered to a bit string of a fixed length and salt was added to the password strings essentially to hide its real hash value. The idea of adding salt to the end of the password is basically to complicate the password cracking process. The hybridized model was implemented in Windows environment using python 3.7 IDE platform and tested on a dedicated Local Area Network (LAN) that was exposed to threats from both internal and external sources. The results from the test show that the model performed well in terms of efficiency and robustness to attacks. The performance of the new model recorded a high level of improvement over the existing techniques with a recital of 97.6%.
Collusion Attack: A Kernel-Based Privacy Preserving Techniques in Data Miningdbpublications
Data leakage happens whenever a system that is designed to be closed to an eavesdropper reveals some information to unauthorized parties. We know that for business purpose, it is necessary to transfer important data among many business partner and between the numbers of employees. But during this transfer of data, information is reach to unauthorized person. So it is very challenging and necessary to find leakage and guilty person responsible for information leakage. In this system we find the person which is responsible for the leakage of text as well as image file. For this we used distributor and agent. Distributor means owner of data and agents means trusted parties to whom we send data. This system finds the insider collusion attack. An insider attack is a malicious threat to an organization that come from people within the organization such as employees, contractor or business associate, who have inside information concerning the organization’s security practices, data and computer system. The main aim of this system is to find data of owner which is leaked and detect agent who leaked data. Here for text data we used kernel based algorithm and for image file we used steganography concept.
IRJET- An Approach Towards Data Security in Organizations by Avoiding Data Br...IRJET Journal
This document discusses data leakage prevention (DLP) systems and approaches to avoid data breaches in organizations. It begins with an abstract that outlines how sensitive data can be lost through unauthorized access or transfer. The introduction then discusses the need for DLP to control and monitor data access and usage. Key challenges for DLP implementations are also reviewed, such as protecting information, reducing unauthorized data transfers, and identifying internal and external threats. The document concludes with recommendations for future research on DLP, including using deep learning techniques to improve insider threat detection and monitoring encrypted communication channels.
This document identifies and describes 14 major repositories of data breach information. It finds that while no single comprehensive source exists, the main repositories include Attrition.org, CERT, Databreaches.net, DataLossDB, Identity Theft Resource Centre, InfosecurityAnalysis.com, MyID.com, NAID, PHI Privacy, PogoWasRight.org, Privacy Rights Clearinghouse, US-CERT, US Securities and Exchange Commission, and Verizon. The document evaluates Privacy Rights Clearinghouse, Identity Theft Resource Centre, and DatalossDB.org as being relatively open, detailed repositories of breach data.
Data Leak Protection Using Text Mining and Social Network AnalysisIJERD Editor
Data Leak prevention is a research field which deals with study of potential security threats to
organizational data and strategies to prevent such threats. Data leaks involve the release of sensitive information
to an untrusted third party, intentionally or otherwise while data loss on the other hand is disappearance or
damage of data, inwhich a correct data copy isno longer available to the organization.Thesecorrespond toa
compromise of data integrity oravailability. Data leak/loss has led to huge loss of revenue in the affected
organisation and a threat to their continued existence. All organisations using electronic data storage are
vulnerable to this attack. This research work is targeted at organisations with sensitive datasuch as Bank,
Manufacturing industries, GSM operators, research centres, Military, Higher Educational Institutions and so
on.The authorsanalyse the possible threats to organisational data and the parties that are involved in such threat,
the impact of successful attack on an organisation,and current approaches to DLP.The authorsalso design a DLP
modelusing “text mining” and “social network analysis”, and suggested further research into “text mining” and
“social network analysis”for effective future solution to DLP problems.In conclusion, implementation of this
design with adherence to good data security practices and proactive strategies suggested in thispaper will
significantly reduce the risk of such security threats.
A SYSTEMATIC REVIEW ON MACHINE LEARNING INSIDER THREAT DETECTION MODELS, DATA...IJNSA Journal
Computers are crucial instruments providing a competitive edge to organizations that have adopted them. Their pervasive presence has presented a novel challenge to information security, specifically threats emanating from privileged employees. Various solutions have been tried to address the vice, but no exhaustive solution has been found. Due to their elusive nature, proactive strategies have been proposed of which detection using Machine Learning models has been favoured. The choice of algorithm, datasets and metrics are cornerstones of model performance and hence, need to be addressed. Although multiple studies on ML for insider threat detection have been done, none has provided a comprehensive analysis of algorithms, datasets and metrics for development of Insider Threat Detection models. This study conducts a comprehensive systematic literature review using reputable databases to answer the research questions posed. Search strings, inclusion and exclusion criteria were set for eligibility of articles published in the last decade.
Global Data Management: Governance, Security and Usefulness in a Hybrid WorldNeil Raden
With Global Data Management methodology and tools, all of your data can be accessed and used no matter where it is or where it is from: on-premises, private cloud, public cloud(s), hybrid cloud, open source, third-party data and any combination of the these, with security, privacy and governance applied as if they were a single entity. Ingenious software products and the economics of computing make it economical to do this. Not free, but feasible.
Ijeee 7-11-privacy preserving distributed data mining with anonymous id assig...Kumar Goud
Privacy Preserving Distributed Data Mining with Anonymous ID Assignment
Chikkudu Chandrakanth Bheemari Santhoshkumar Tejavath Charan Singh
M.Tech Scholar(CSE) M.Tech Scholar(CSE) Assistant Professor, Dept of CSE
Sri Indu College of Engg and Tech Sri Indu College of Engg and Tech Sri Indu College of Engg and Tech
Ibrahimpatan, Hyderabad, TS, India Ibrahimpatan, Hyderabad, TS, India Ibrahimpatan, Hyderabad, TS, India
Abstract: This paper builds an algorithm for sharing simple integer data on top of secure sum data mining operation using Newton’s identities and Sturm’s theorem. Algorithm for anonymous sharing of private data among parties is developed. This assignment is anonymous in that the identities received are unknown to the other members of the group. Resistance to collusion among other members is verified in an information theoretic sense when private communication channels are used. This assignment of serial numbers allows more complex data to be shared and has applications to other problems in privacy preserving data mining, collision avoidance in communications and distributed database access. The new algorithms are built on top of a secure sum data mining operation using Newton’s identities and Sturm’s theorem. An algorithm for distributed solution of certain polynomials over finite fields enhances the scalability of the algorithms.
Key words: Cloud, Website, information sharing, DBMS, ID, ODBC, ASP.NET
.
Two-Phase TDS Approach for Data Anonymization To Preserving Bigdata Privacydbpublications
While Big Data gradually become a hot topic of research and business and has been everywhere used in many industries, Big Data security and privacy has been increasingly concerned. However, there is an obvious contradiction between Big Data security and privacy and the widespread use of Big Data. There have been a various different privacy preserving mechanisms developed for protecting privacy at different stages (e.g. data generation, data storage, data processing) of big data life cycle. The goal of this paper is to provide a complete overview of the privacy preservation mechanisms in big data and present the challenges for existing mechanisms and also we illustrate the infrastructure of big data and state-of-the-art privacy-preserving mechanisms in each stage of the big data life cycle. This paper focus on the anonymization process, which significantly improve the scalability and efficiency of TDS (top-down-specialization) for data anonymization over existing approaches. Also, we discuss the challenges and future research directions related to preserving privacy in big data.
Network security is one of the foremost anxieties of the modern time. Over
the previous years, numerous studies have been accompanied on the
intrusion detection system. However, network security is one of the foremost
apprehensions of the modern era this is due to the speedy development and
substantial usage of altered technologies over the past period. The
vulnerabilities of these technologies security have become a main dispute
intrusion detection system is used to classify unapproved access and unusual
attacks over the secured networks. For the implementation of intrusion
detection system different approaches are used machine learning technique
is one of them. In order to comprehend the present station of application of
machine learning techniques for solving the intrusion discovery anomalies in
internet of thing (IoT) based big data this review paper conducted. Total 55
papers are summarized from 2010 and 2021 which were centering on the
manner of the single, hybrid and collaborative classifier design. This review
paper also includes some of the basic information like IoT, big data, and
machine learning approaches are discussed.
Efficient Data Filtering Algorithm for Big Data Technology in Telecommunicati...Onyebuchi nosiri
Efficient data filtering algorithm for Big Data technology Telecommunication is a concept aimed at effectively filtering desired information for preventive purposes, the challenges posed by unprecedented rise in volume, variety and velocity of information has necessitated the need for exploring various methods Big Data which is simply a data sets that are so large and complex that traditional data processing tools and technologies cannot cope with is been considered. The process of examining such data to uncover hidden patterns in them was evolved, this was achieved by coming up with an Algorithm comprising of various stages like Artificial neural Network, Backtracking Algorithm, Depth First Search, Branch and Bound and dynamic programming and error check. The algorithm developed gave rise to the flowchart, with each line of block representing a sub-algorithm.
Efficient Data Filtering Algorithm for Big Data Technology in Telecommunicati...Onyebuchi nosiri
This document summarizes an algorithm for efficiently filtering big data in telecommunications networks. It begins by introducing the challenges of unprecedented rises in data volume, variety, and velocity. It then describes an algorithm developed comprising stages like artificial neural networks and graph search methods. The algorithm is represented as a flowchart to filter data for preventative purposes like detecting criminal activity. Overall, the algorithm aims to effectively uncover patterns in large, complex datasets to help telecommunications providers address big data challenges.
®Three Undocumented Layers of the OSI Model and The.docxLynellBull52
®
Three Undocumented Layers of the OSI Model
and Their Impact on Security
Michael Scheidell
President and Chief Technology Officer, SECNAP® Network Security Corporation
Synopsis
The single most serious threat to the security of sensitive information in today’s world is not individual
hackers, cyber gangs, inadequate firewalls or missing patches. The most serious threat lies in the often
overlooked and undocumented OSI Layers 8, 9 and 10: Politics, Religion and Economics. These
undocumented layers often drive sub‐optimal decisions regarding information systems and data security,
and can leave a program vulnerable to malicious intrusion or attack.
This paper seeks to help the reader understand how the traditional OSI model applies to security, realize
that three additional layers exert a powerful influence over security programs and decisions, and leverage
tips for navigating OSI Layers 8, 9 and 10 to become more effective security professionals.
Since founding SECNAP® Network Security Corporation in 2001, Chief Technology Officer Michael Scheidell
has aggressively pursued the development of network security and email security products and services
with impressive results, including patent‐pending intrusion detection and prevention technology and a
revolutionary email security product line. During the course of his career he has discovered and resolved
vulnerabilities represented on the Common Vulnerability and Exposures (CVE) list, and has been a member
of the FBI InfraGard program since 1996, working with other IT experts to assist the FBI’s investigative
efforts in the cyber arena.
Michael Scheidell and his talented technical team know how difficult it can be to affect positive change
within an organization. When it comes to navigating the executive suite and the undocumented layers of
the OSI model, the staff at SECNAP® Network Security have the experience and expertise to assist CIOs,
CISOs and IT management in developing effective strategies to successfully drive security improvements.
The Most Serious Threat to Data Security is Not What You Think
The single most serious threat to the security of sensitive information in today’s world is not
individual hackers or gangs of cybercriminals. It is not an inadequate firewall, lack of logging or
missing patches. Nor is the most serious threat to data security found in OSI Layer 7—no
amount of application filtering or testing can address this threat.
The single most serious threat to the security of sensitive information lies in the often
overlooked and undocumented layers of the Open Systems Interconnection (OSI) model: Layer
8 (Politics), Layer 9 (Religion) and Layer 10 (Economics).
You can conduct GLBA, SOX, FACTA, HIPAA, FERPA and ISO audits until you are buried in reams
of audit reports. You can recommend implementation of DOD or NIST standards until you feel
like Dilbert trying to convince his boss to do something log.
Cyber Security Matters a book by Hama David Bundohdbundo
This document provides an introduction to cyber security. It defines cyber security and lists some common cyber security threats such as social engineering, malware, phishing, SQL injection, man-in-the-middle attacks, and denial-of-service attacks. It then discusses key cyber security terminology and concepts including access authorization, anti-virus software, authentication techniques, backups, encryption, firewalls, hackers, honeypots, intrusion detection systems, and port scanning. The document aims to educate readers on cyber security risks and mitigation strategies.
Fundamentals of data mining and its applicationsSubrat Swain
Data mining involves applying intelligent methods to extract patterns from large data sets. It is used to discover useful knowledge from a variety of data sources. The overall goal is to extract human-understandable knowledge that can be used for decision-making.
The document discusses the data mining process, which typically involves problem definition, data exploration, data preparation, modeling, evaluation, and deployment. It also covers data mining software tools and techniques for ensuring privacy, such as randomization and k-anonymity. Finally, it outlines several applications of data mining in fields like industry, science, music, and more.
I want you to Read intensively papers and give me a summary for ever.pdfamitkhanna2070
I want you to Read intensively papers and give me a summary for every paper and the linghth for
each paper is 2 pages or more. In the summary, you need to provide some of your own ideas.
Research Interests: Privacy-Aware Computing,Wireless and Mobile Security,Fog
Computing,Mobile Health and Safety, Cognitive Radio Networking,Algorithm Design and
Analysis.
You should select papers from the following conferences:
IEEE INFOCOM, IEEE Symposium on security and privacy, ACM CCS, USENIX Security.
Solution
PRIVACY AWARE COMPUTING
Introduction
With the increasing public concerns of security and personal data privacy worldwide, security
and privacy become an important research area. This research area is very broad and covers
many application domains.
The security and privacy aware computing research group actually focuses on
(1) privacy-preserved computing,
(2) Video surveillance, and
(3) secure biometric system.
Now let us briefly discuss the above three groups.
Privacy-preserved Computing
Concerns on the data privacy have been increasing worldwide. For example, Apple was
reportedly fined by South Korea’s telecommunications regulator for allegedly collecting and
storing private location data of iPhone users. The privacy concerns raised by both end-users and
government authorities have been hindering the deployment of many valuable IT services, such
as data mining and analysis, data outsourcing, and mobile location-aware computing.
soo, in response to the growing necessity of protecting data privacy, our research group has been
focusing on developing innovative solutions towards information services --- to support these
services while preserving users’ personal privacy.
Video Surveillance
With the growing installation of surveillance video cameras in both private and public areas, the
closed-circuit TV (CCTV) has been evolved from a single camera system to a multiple camera
system; and has recently been extended to a large-scale network of cameras.
One of the objectives of a camera network is to monitor and understand security issues in the
area under surveillance. While the camera network hardware is generally well-designed and
roundly installed, the development of intelligent video analysis software lags far behind. As
such, our group has been focusing on developing video surveillance algorithms such as face
tracking, person re-identification, human action recognition.
Our goal is to develop an intelligent video surveillance system.
Secure Biometric System
With the growing use of biometrics, there is a rising concern about the security and privacy of
the biometric data. Recent studies show that simple attacks on a biometric system, such as hill
climbing, are able to recover the raw biometric data from stolen biometric template. Moreover,
the attacker may be able to make use of the stolen face template to access the system or cross-
match across databases. Our group has been working on face template protection, multimodality
template protection, and .
Cyber Security Trends - Where the Industry Is Heading in an UncertaintyOrganization
The document discusses cyber security trends for 2021. Key points include:
- Cyber threats increased during the pandemic as remote work became standard. Hackers targeted vulnerabilities from limited remote security and careless employees.
- Companies need to implement data access plans to restrict what information employees can access and send.
- Threats like phishing, RDP attacks, weak passwords, and DDoS attacks expanded in scope and became more dangerous.
- Addressing the global cyber skills gap and developing cyber security professionals with both technical and leadership skills is a priority.
The document discusses the importance of computer forensics and computer security. It notes that as technology advances, security needs to advance as well to protect vital information from unauthorized access. Computer forensics is used to investigate cyber crimes and digital evidence in order to strengthen legal systems and network security. Both computer forensics and computer security are crucial fields within IT that work together to develop more efficient security measures and prevent cyber crimes from increasing.
Running Head TRENDS IN CYBERSECURITY1TRENDS IN CYBERSECURITY.docxtodd521
Running Head: TRENDS IN CYBERSECURITY1
TRENDS IN CYBERSECURITY 5
Trends in Cybersecurity
Student’s Name
Institution
Date
Top Trends in the cybersecurity industry
New components introduced into the ecosystem of computing allow new attack vectors: IoT is one of the components that attract cyber attacks, AI-based systems like assistants will invite attacks since first devices and software will not be built considering security protocols. The existing systems of cloud and mobile security will as well be open to attacks as in social engineering, ransomware and continued Advance Persistent Threat attacks (Qureshi, 2018). (All the old methods will be applied with more specialized goals and increased intensity). Expect high-profit applications like cryptocurrency to attract various attacks too. Developing protections in these areas is an ongoing struggle. In this document, we are going to look at some of the current trends in the cyber-security industry and emerging issues such Security and Privacy Merge, AI + ML = forensics and investigations and then focus the research on IoT security issues (Sharma, Tripathi & Panda, 2018).
Trend 1: Security and Privacy Merge
Even though everybody is still trying to comprehend the new privacy landscape and maybe because we have not grasped the new realities. Perhaps it is our ever-increasing focus on privacy overall and GDPR precisely.
What is evident is that there is an increase in companies seeking NAC solutions to keep up with all the new compliance regulations and it is very satisfying to hear that sigh of relief when a company has implemented their solution.
The global regulatory landscape has given way to the emerging trend of merging privacy and security roles. The new policies on privacy laws will require clear, tangible and operational IT security controls (Lin, 2017). While chief privacy officers and chief information security officers have clearly defined roles, it is important for these two roles and their teams to work closely together to leverage their unique skill sets and knowledge bases to ensure their organizations comply with their required regulations and protect their important, sensitive data and information.
Like peanut butter and jelly or milk and cookies, the security and privacy fields go better together. Both communities have started a slow but steady commingling in recent years, all with the goal of improving information protection measures on a large scale (Whitmore, Agarwal, & Da Xu, 2015). At the heart of the convergence of security and privacy is the recognition that information is an essential tool in every organization setting. As pressure keeps rising to protect data while also defending consumer and employee privacy, it's hard to imagine the two functions will remain siloed for much longer.
Trend 2: AI + ML = forensics and investigations
Artificial Intelligence (AI) and Machine Learning (ML) are going to be implemented into the arena of practical usage in cybersecuri.
Running Head: DATA BREACH 1
DATA BREACH 9
Data Breach Research Proposal
Introduction
In the present world, there has been a series of technological advancements especially in this era of digital migration where everybody is using technology. However, a lot of people do not realize that there are problems that arise as technological changes continue happening. One of the biggest challenge faced in the technological environment is data breaching. This refers to incidences where an individual’s private and confidential information is accessed by unauthorized individuals. Due to diverse lack of technological knowhow, a lot of people and organizations have become victims as occurrences of these data breaches rise each day. In the last two years at least 258,000 organizations has fallen as an estimate of about 3.9 million individuals from different parts of the world has been robbed as a result of data breaches (Ayyagari, 2012).
Clearly, the victim figure above emphasizes the need to come up with a solution to the data breaches more than ever before. The motivation behind carrying out the author’s my proposed research is the rapid changes in the world of technology thatwhich does not match the rate at which a big population adjusts along with the technological changes. This makes them vulnerable to more and more data breaches every day if something is not done. I believe that creating awareness concerning how to be data secure will greatly impact the world positively through reducing the data breaches occurrences.
In my research, I look forward to investigating a number of issues as far as data breaches are concerned. The issues include:
· Causes of data breaches.
· How the data breaches are done.
·
Solution
s to data breaches.
Importance of the proposed research.
With the continual technological advancements, I believe that if a large population of people as well as organizations that make use of technology to store their confidential data get to know all about these issues as well as how to combat data breaches, then the world would be a peaceful place to live in. it will also give room for further technological advancements as the more data secure people will be more willing to embrace the changes.
Literature review
“Meyer, C. H., & Matyas, S. M. (1982). CRYPTOGRAPHY: A new dimension in computer data security: A guide for the design and implementation of secure systems. Wiley.”Comment by Herbert Kemp: I assume the final lit review will be longer….
My theoretical framework
Causes of data breaches
One of the causes of data breaches is cyber-attacks. This has been the leading data security threat over the last two years. This refers to a situation whereby an individual- cybercriminal- accesses an organization’s data and uses it for malicious gains whether for fun, for financial gains or even for undercover activities such as spying.
Another cause of data br.
Similar to Data trawling and security strategies (20)
Predictably Improve Your B2B Tech Company's Performance by Leveraging DataKiwi Creative
Harness the power of AI-backed reports, benchmarking and data analysis to predict trends and detect anomalies in your marketing efforts.
Peter Caputa, CEO at Databox, reveals how you can discover the strategies and tools to increase your growth rate (and margins!).
From metrics to track to data habits to pick up, enhance your reporting for powerful insights to improve your B2B tech company's marketing.
- - -
This is the webinar recording from the June 2024 HubSpot User Group (HUG) for B2B Technology USA.
Watch the video recording at https://youtu.be/5vjwGfPN9lw
Sign up for future HUG events at https://events.hubspot.com/b2b-technology-usa/
Global Situational Awareness of A.I. and where its headedvikram sood
You can see the future first in San Francisco.
Over the past year, the talk of the town has shifted from $10 billion compute clusters to $100 billion clusters to trillion-dollar clusters. Every six months another zero is added to the boardroom plans. Behind the scenes, there’s a fierce scramble to secure every power contract still available for the rest of the decade, every voltage transformer that can possibly be procured. American big business is gearing up to pour trillions of dollars into a long-unseen mobilization of American industrial might. By the end of the decade, American electricity production will have grown tens of percent; from the shale fields of Pennsylvania to the solar farms of Nevada, hundreds of millions of GPUs will hum.
The AGI race has begun. We are building machines that can think and reason. By 2025/26, these machines will outpace college graduates. By the end of the decade, they will be smarter than you or I; we will have superintelligence, in the true sense of the word. Along the way, national security forces not seen in half a century will be un-leashed, and before long, The Project will be on. If we’re lucky, we’ll be in an all-out race with the CCP; if we’re unlucky, an all-out war.
Everyone is now talking about AI, but few have the faintest glimmer of what is about to hit them. Nvidia analysts still think 2024 might be close to the peak. Mainstream pundits are stuck on the wilful blindness of “it’s just predicting the next word”. They see only hype and business-as-usual; at most they entertain another internet-scale technological change.
Before long, the world will wake up. But right now, there are perhaps a few hundred people, most of them in San Francisco and the AI labs, that have situational awareness. Through whatever peculiar forces of fate, I have found myself amongst them. A few years ago, these people were derided as crazy—but they trusted the trendlines, which allowed them to correctly predict the AI advances of the past few years. Whether these people are also right about the next few years remains to be seen. But these are very smart people—the smartest people I have ever met—and they are the ones building this technology. Perhaps they will be an odd footnote in history, or perhaps they will go down in history like Szilard and Oppenheimer and Teller. If they are seeing the future even close to correctly, we are in for a wild ride.
Let me tell you what we see.
Learn SQL from basic queries to Advance queriesmanishkhaire30
Dive into the world of data analysis with our comprehensive guide on mastering SQL! This presentation offers a practical approach to learning SQL, focusing on real-world applications and hands-on practice. Whether you're a beginner or looking to sharpen your skills, this guide provides the tools you need to extract, analyze, and interpret data effectively.
Key Highlights:
Foundations of SQL: Understand the basics of SQL, including data retrieval, filtering, and aggregation.
Advanced Queries: Learn to craft complex queries to uncover deep insights from your data.
Data Trends and Patterns: Discover how to identify and interpret trends and patterns in your datasets.
Practical Examples: Follow step-by-step examples to apply SQL techniques in real-world scenarios.
Actionable Insights: Gain the skills to derive actionable insights that drive informed decision-making.
Join us on this journey to enhance your data analysis capabilities and unlock the full potential of SQL. Perfect for data enthusiasts, analysts, and anyone eager to harness the power of data!
#DataAnalysis #SQL #LearningSQL #DataInsights #DataScience #Analytics
End-to-end pipeline agility - Berlin Buzzwords 2024Lars Albertsson
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
The Ipsos - AI - Monitor 2024 Report.pdfSocial Samosa
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
Codeless Generative AI Pipelines
(GenAI with Milvus)
https://ml.dssconf.pl/user.html#!/lecture/DSSML24-041a/rate
Discover the potential of real-time streaming in the context of GenAI as we delve into the intricacies of Apache NiFi and its capabilities. Learn how this tool can significantly simplify the data engineering workflow for GenAI applications, allowing you to focus on the creative aspects rather than the technical complexities. I will guide you through practical examples and use cases, showing the impact of automation on prompt building. From data ingestion to transformation and delivery, witness how Apache NiFi streamlines the entire pipeline, ensuring a smooth and hassle-free experience.
Timothy Spann
https://www.youtube.com/@FLaNK-Stack
https://medium.com/@tspann
https://www.datainmotion.dev/
milvus, unstructured data, vector database, zilliz, cloud, vectors, python, deep learning, generative ai, genai, nifi, kafka, flink, streaming, iot, edge
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
STATATHON: Unleashing the Power of Statistics in a 48-Hour Knowledge Extravag...sameer shah
"Join us for STATATHON, a dynamic 2-day event dedicated to exploring statistical knowledge and its real-world applications. From theory to practice, participants engage in intensive learning sessions, workshops, and challenges, fostering a deeper understanding of statistical methodologies and their significance in various fields."
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Aggregage
This webinar will explore cutting-edge, less familiar but powerful experimentation methodologies which address well-known limitations of standard A/B Testing. Designed for data and product leaders, this session aims to inspire the embrace of innovative approaches and provide insights into the frontiers of experimentation!
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Data trawling and security strategies
1. IOSR Journal of Computer Engineering (IOSR-JCE)
e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 16, Issue 6, Ver. III (Nov – Dec. 2014), PP 57-59
www.iosrjournals.org
www.iosrjournals.org 57 | Page
Data Trawling and Security Strategies
Venkata Karthik Gullapalli1
, Aishwarya Asesh2
1
(School of Computing Science and Engineering, VIT University, India)
2
(School of Computing Science and Engineering, VIT University, India)
Abstract: The amount of data in the world seems increasing and computers make it easy to save the data.
Companies offer data storage by providing cloud services and the amount of data being stored in these servers
is increasing rapidly. In data mining, the data is stored electronically and the search is automated or at least
augmented by computer. As the volume of data increases, inexorably, the proportion of it that people
understand decreases alarmingly. This paper presents the data leakage problem arises because the services like
Facebook and Google store all your data unencrypted on their servers, making it easy for them, or governments
and hackers, to monitor the data.
I. Introduction
Data mining is defined as the process of discovering patterns in data. The process must be automatic or
semiautomatic. The patterns discovered must be meaningful in that they lead to some advantage, usually an
economic one. The data is invariably present in substantial quantities. Data mining is about solving problems by
analyzing data already present in databases. The World Wide Web is becoming an important medium for
sharing the information related to wide range of topics. According to most predictions, majority of the human
information will be available on the web in five years. The building blocks of data mining is the evolution of a
field with the confluences of various disciplines, which includes database management systems(DBMS),
Statistics, Artificial Intelligence(AI), and Machine Learning(ML) [3]. Given a truly massive amount of data, the
challenge in data mining is to unearth hidden relationships among various attributes of data and between several
snapshots of data over a period of time [7]. These hidden patterns have enormous potential in prediction and
personalization [7].
II. Data Leakage Problems
Major organizations still leave users passwords vulnerable Password vulnerabilities ought to be a
rarity. Well-known and easily-followed techniques exist for generating, using and storing passwords that should
keep both individuals and organizations safe. Yet in 2012 we saw one massive password breach after another, at
a slew of high profile organizations. Russian cybercriminals posted nearly 6.5 million LinkedIn passwords on
the Internet. Teams of hackers rapidly went to work attacking those passwords, and cracked more than 60%
within days. That task was made simpler by the fact that LinkedIn hadn’t ―salted‖ its password database with
random data before encrypting it. Dating website eHarmony quickly reported that some 1.5 million of its own
passwords were uploaded to the web following the same attack that hit LinkedIn. Form spring discovered that
the passwords of 420,000 of its users had been compromised and posted online, and instructed all 28 million of
the site’s members to change their passwords as a precaution. Yahoo Voices admitted that nearly 500,000 of its
own emails and passwords had been stolen. Multinational technology firm Philips was attacked by the rootbeer
gang. The gang walked away with thousands of names, telephone numbers, addresses and unencrypted
passwords. IEEE, the world’s largest professional association for the advancement of technology, left a log file
of nearly 400 million web requests in a world-readable directory. Those requests included the usernames and
plain text passwords of nearly 100,000 unique user’s.
In an attempt to ascertain Cloud Computing reliability, 11,491 news articles on cloud computing-
related outages from 39 news sources between Jan 2008 and Feb 2012 – effectively covering the first five years
of cloud computing - were reviewed [1]. During this period, the number of cloud vulnerability incidents rose
considerably. For instance, the number of cloud vulnerability incidents more than doubled over a four year
period, increasing from 33 in 2009 to 71 in 2011. A total of 172 unique cloud computing outage incidents were
uncovered, of which 129 (75%) declared their cause(s) while 43 (25%) did not. As cloud computing matures
into mainstream computing, transparency in the disclosure of outages is imperative.
The scope for data leakage is very wide, and not limited to just email and web. We are all too familiar
with stories of data loss from laptop theft, hacker break-ins, and backup tapes being lost or stolen, and so on.
How can we defend ourselves against the growing threat of data leakage attacks via messaging, social
engineering, malicious hackers, and more? Many manufacturers have products to help reduce electronic data
leakage, but do not address other vectors. This paper aims to provide a holistic discussion on data leakage and
its prevention, and serve as a starting point for businesses in their fight against it.
2. Data Trawling and Security Strategies
www.iosrjournals.org 58 | Page
On August 31, 2014, a collection of almost 200 private pictures of various celebrities and these images
were believed to have been obtained via a breach of Apple's cloud services suite iCloud. It has
been reported that a collection of 5 million Gmail addresses and passwords have been leaked. Recently,
usernames and passwords of Dropbox users have leaked online. The usernames and passwords were
unfortunately stolen from other services and used in attempts to log in to Dropbox accounts. New and
sophisticated techniques that have been developed in the area of data mining (also known as knowledge
discovery), can aid in the extraction of useful information from the web [8]. The correct solution would be to
encourage the creation and use of de-centralized and end-to-end encrypted services that do not store all your
data in one place. For the sake of national security and to protect the privacy of its citizens, India should develop
its own social media platforms.
III. Data Leakage Prevention (DLP)
The use of data—particularly data about people—for data mining has serious ethical implications, and
practitioners of data mining techniques must act responsibly by making themselves aware of the ethical issues
that surround their particular application [6]. The explosion of online social networking (OSN) in recent years
has caused damages to organizations due to leakage of information. Peoples’ social networking behavior,
whether accidental or intentional, provides an opportunity for advanced persistent threats (APT) attackers to
realize their social engineering techniques and undetectable zero-day exploits. APT attackers use a spear-
phishing method that targeted on victim organizations through social media in order to conduct reconnaissance
and theft of confidential proprietary information. OSN has the most challenging channel of information leakage
and provides an explanation about the underlying factors of employees leaking information via this channel
through a theoretical lens from information systems. OSN becomes an attack vector of APT owing to Peoples’
social networking behavior, and finally, recommends security education, training and awareness (SETA) for
organizations to combat these threats. Various data mining techniques (Induction, Compression and
Approximation) and algorithms developed to mine the large volumes of heterogeneous data stored in the data
warehouses [3].
Data leak prevention (DLP) is a suite of technologies aimed at stemming the loss of sensitive
information that occurs in enterprises across the globe. By focusing on the location, classification and
monitoring of information at rest, in use and in motion, this solution can go far in helping an enterprise get a
handle on what information it has, and in stopping the numerous leaks of information that occur each day. DLP
is not a plug-and-play solution. The successful implementation of this technology requires significant
preparation and diligent ongoing maintenance. Enterprises seeking to integrate and implement DLP should be
prepared for a significant effort that, if done correctly, can greatly reduce risk to the organization. Those
implementing the solution must take a strategic approach that addresses risks, impacts and mitigation steps,
along with appropriate governance and assurance measures.
3.1 Data Anonymization – Removing Personally Identifiable Information From Data Sets
A K-anonymized dataset has the property that each record is in distinguishable from at least others.
Even simple restrictions of optimized anonymity are NP-hard, leading to significant computational challenges.
New approach methods can be evolved exploring the space of possible anonymization that tames the
combinatory of the problem, and develop data-man- agreement strategies to reduce reliance on expensive
operations such as sorting. A desirable feature of protecting privacy through - anonymity is its preservation of
data integrity. Despite its intuitive appeal, it is possible that non-integrity preserving approaches to privacy (such
as random perturbation) may produce a more informative result in many circumstances. Indeed, it may be
interesting to consider combined approaches, such as -anonymizing over only a subset of potentially identifying
columns and randomly perturbing the others. A better understanding of when and how to apply various privacy-preserving
methods deserves further study. Optimal algorithms will be useful in this regard since they eliminate the possibility that a
poor outcome is the result of a highly sub-optimal solution rather than an inherent limitation of the specific technique.
3.2 De-Identification And Linking Data Records
Common strategies for de-identifying datasets are deleting or masking personal identifiers, such as name and
social security number, and suppressing or generalizing quasi-identifiers, such as date of birth and zip code.
3.3 Dlp Implementation Challenges
User resistance for change is the most difficult obstacle which has to be handled with greatest care.
Training workshops and seminars must be held on regular basis to infuse confidence in them for adopting DLP
procedures. The effectiveness of DLP solution must be closely monitored to iron out any issues if they arise
during implementation. Likewise, over-optimism also needs to be checked upon as people tend to get carried
away and get over dependent on the DLP technology. Policy and procedure framework must be properly
documented and accordingly implemented.
3. Data Trawling and Security Strategies
www.iosrjournals.org 59 | Page
IV. Ideology And Reasons
This paper motivates the future work in this area through a review of the field and related research
questions. Specifically, this paper defines the data leak prevention problem, describe current approaches, and
outline potential research directions in the field. As a part of this discussion, this paper explores the idea that
while intrusion detection techniques may be applicable to many aspects of the data leak prevention problem, the
problem is distinct enough that it requires its own solutions. A social network is a social structure made up of
individuals or organizations called nodes, which are connected by one or more specific types of
interdependency, such as friendship, common interest, and exchange of finance, relationships of beliefs,
knowledge or prestige. A cyber threat can be both unintentional and intentional, targeted or non-targeted, and it
can come from a variety of sources, including foreign nations engaged in espionage and information warfare,
criminals, hackers, virus writers, disgruntled employees and contractors working within an organization. Social
networking sites are not only to communicate or interact with other people globally, but also one effective way
for business promotion. Investigation and study can be made on the cyber threats in social networking websites.
After going through the paper which states an amassing history of online social websites one can classify their
types and also discuss the cyber threats, suggest the anti-threats strategies and visualize the future trends of such
hoppy popular websites. Social networking sites spread information faster than any other media. Over 50% of
people learn about breaking news on social media. 65% of traditional media reporters and editors use sites like
Facebook and LinkedIn for story research, and 52% use Twitter. Social networking sites are the top news source
for 27.8% of Americans, ranking close to newspapers (28.8%) and above radio (18.8%) and other print
publications (6%). Twitter and YouTube users reported the July 20, 2012 Aurora, CO theater shooting before
news crews could arrive on the scene, and the Red Cross urged witnesses to tell family members they were safe
via social media outlets. In the same breath one could argue that social media enables the spread of unreliable
and false information. 49.1% of people have heard false news via social media. On Sep. 5, 2012 false rumors of
fires, shootouts, and caravans of gunmen in a Mexico City suburb spread via Twitter and Facebook caused
panic, flooded the local police department with over 3,000 phone calls, and temporarily closed schools.
V. Conclusion
It is a big task to mine the data with more accuracy and processing time. The research we develop
using rule induction along with Association rule mining algorithm in data mining is beneficial in terms of
accuracy and processing time [5]. Further research aspects can be done on these aspects of data leakage in India
and how these issues can be solved by applying the correct prevention technique or correct implementation of
data handling methods. A Person’s Private information can be among its most valuable assets. DLP solutions
can offer a multifaceted capability to significantly increase a person’s ability to manage risks to their key
information assets. However, these solutions can be complex and prone to disrupt other processes and
organizational culture if improperly or hurriedly implemented. Careful planning and preparation,
communication and awareness training are paramount in deploying a successful DLP program amongst the
common population of India or the Entrepreneur groups.
References
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