This document discusses big data security challenges and the application of user behavior analytics (UBA) to address those challenges. It first provides background on big data, defining its key characteristics and applications. It then outlines security risks to big data like privacy risks and risks to the data itself. Common big data security challenges are also summarized such as issues around data distribution, privacy, integrity and access control. The document then introduces UBA as a novel security analytics method, explaining how it uses machine learning to analyze user behaviors and detect anomalies that may indicate security threats like credential compromise or insider threats. Key advantages of UBA over other security tools are that it can more efficiently detect malicious user behavior and privileged account abuse.
In this work we highlighted some of the concepts of data privacy, techniques used in data privacy, and some techniques used in data privacy in the cloud plus some new research trends.
This paper deals with the risk assessment of different types of electronics and mobile payment systems as well as the countermeasures to mitigate the identified risk in various electronics and mobile payment synthesis.
In this work we highlighted some of the concepts of data privacy, techniques used in data privacy, and some techniques used in data privacy in the cloud plus some new research trends.
This paper deals with the risk assessment of different types of electronics and mobile payment systems as well as the countermeasures to mitigate the identified risk in various electronics and mobile payment synthesis.
AI and Machine Learning In Cybersecurity | A Saviour or Enemy?SahilRao25
Let's take a look at implementations of AI or machine learning in the cybersecurity world. To know more: https://www.softwarefirms.co/blog/ai-and-machine-learning-in-cybersecurity-a-saviour-or-enemy?utm_source=Social+media&utm_medium=Traffic&utm_campaign=SR
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
A Study on Big Data Privacy Protection Models using Data Masking Methods IJECEIAES
In today’s predictive analytics world, data engineering play a vital role, data acquisition is carried out from various source systems and process as per the business applications and domain. Big Data integrates, governs, and secures big data with repeatable, reliable, and maintainable processes. Through volume, speed, and assortment of information characteristics try to reveal business esteem from enormous information. However, with information that is frequently deficient, conflicting, ungoverned, and unprotected, which is hazardous and enormous information being a risk instead of an advantage. What's more, with conventional methodologies that are manual and unpredictable, huge information ventures take too long to acknowledge business esteem. Reasonably and over and again conveying business esteem from enormous information requires another technique. In this connection, raw data has to be moved between onsite and offshore environment during this course of action, data privacy is a major concern and challenge. A Big Data Privacy platform can make it easier to detect, investigate, assess, and remediate threats from intruders. We tried to do complete study of Big Data Privacy using data masking methods on various data loads and different types. This work will help data quality analyst and big data developers while building the big data applications.
Final presentation january iia cybersecurity securing your 2016 audit planCameron Forbes Over
With 2015 cybersecurity themes and realities nearly in the rearview mirror, “Cybersecurity – Securing your 2016 Audit Plan” will shift our outlook to looking forward into what cybersecurity predictions are being made for 2016, and what key topics and themes will drive 2016 audit planning in the cybersecurity area.
Security Intelligence: Finding and Stopping Attackers with Big Data AnalyticsIBM Security
Attackers are using increasingly sophisticated methods to access your most sensitive data, and at the same time cloud, mobile and other innovations expand the perimeter you need to protect. This keynote discusses how to build a more secure enterprise with real-time analytics and behavior-based activity monitoring.
Advanced Security Intelligence tools store, correlate and analyze millions of events and flows daily to identify critical incidents your security team needs to investigate. The volume, variety and velocity involved clearly defines Security as a “Big Data challenge.”
Learn how advanced predictive analytics and incident forensics help defend against advanced attacks and respond to and remediate incidents quickly and effectively.
Biometric Based Intrusion Detection System using Dempster-Shafer Theory for M...rahulmonikasharma
In wireless mobile ad hoc network, mainly, two approaches are followed to protect the security such as prevention-based approaches and detection-based approaches. A Mobile Ad hoc Network (MANET) is a collection of autonomous wireless mobile nodes forming temporary network to interchange data (data packets) without using any fixed topology or centralized administration. In this dynamic network, each node changes its geographical position and acts as a router for forwarding packets to the other node. Current MANETs are basically vulnerable to different types of attacks. The multimodal biometric technology gives possible resolves for continuous user authentication and vulnerability in high security mobile ad hoc networks (MANETs). Dempster’s rule for combination gives a numerical method for combining multiple pieces of data from unreliable observers. This paper studies biometric authentication and intrusion detection system with data fusion using Dempster–Shafer theory in such MANETs. Multimodal biometric technologies are arrayed to work with intrusion detection to improve the limitations of unimodal biometric technique.
CSPCR: Cloud Security, Privacy and Compliance Readiness - A Trustworthy Fram...IJECEIAES
The privacy, handling, management and security of information in a cloud environment are complex and tedious tasks to achieve. With minimum investment and reduced cost of operations an organization can avail and apply the benefits of cloud computing into its business. This computing paradigm is based upon a pay as per your usage model. Moreover, security, privacy, compliance, risk management and service level agreement are critical issues in cloud computing environment. In fact, there is dire need of a model which can tackle and handle all the security and privacy issues. Therefore, we suggest a CSPCR model for evaluating the preparation of an organization to handle or to counter the threats, hazards in cloud computing environment. CSPCR discusses rules and regulations which are considered as pre-requisites in migrating or shifting to cloud computing services.
Safeguarding Data Privacy by Placing Multi-level Access Restrictionsrahulmonikasharma
People always tend to protect assets regardless of what they are. For example, a user may keep a memorable picture of his parents in a safe place. However, the degree of protection he provides is directly based on how much he values the assets. If the user highly value the picture of his great-grandparents, he might take an extra measure of precaution by copying it and placing it in a fireproof safe where it is guarded from most natural disasters and from theft, or he may just put it in a frame because he has many similar pictures or because he can reproduce it. Usage of Database management systems to store information in every aspect of an enterprise is rapidly growing. Every company need to protect all tangible assets like valuable information stored in a DBMS is often vital to the business interests of the organization and is regarded as a corporate asset of the company that must be protected. There is no doubt that a password is the key to opening a user account. The Stronger the password, the longer it takes a hacker to break in. User authentication depends on a password to ensure the user account’s identity. Since organizations increase their implementation of database systems as the key data management technology for regular operations and decision making, the security of data managed by these systems is an important task.
Accelerite Sentient helps IT administrators to find and fix critical security, compliance and configuration issues in the endpoint network within seconds. It gets real-time information across enterprise endpoints thus, classifies and presents the endpoint information obtained in visual and graphical format .
user centric machine learning framework for cyber security operations centerVenkat Projects
In order to ensure a company's Internet security, SIEM (Security Information and Event Management) system is in place to simplify the various preventive technologies and flag alerts for security events. Inspectors (SOC) investigate warnings to determine if this is true or not. However, the number of warnings in general is wrong with the majority and is more than the ability of SCO to handle all awareness. Because of this, malicious possibility. Attacks and compromised hosts may be wrong. Machine learning is a possible approach to improving the wrong positive rate and improving the productivity of SOC analysts. In this article, we create a user-centric engineer learning framework for the Internet Safety Functional Center in the real organizational context. We discuss regular data sources in SOC, their work flow, and how to process this data and create an effective machine learning system. This article is aimed at two groups of readers. The first group is intelligent researchers who have no knowledge of data scientists or computer safety fields but who engineer should develop machine learning systems for machine safety. The second groups of visitors are Internet security practitioners that have deep knowledge and expertise in Cyber Security, but do Machine learning experiences do not exist and I'd like to create one by themselves. At the end of the paper, we use the account as an example to demonstrate full steps from data collection, label creation, feature engineering, machine learning algorithm and sample performance evaluations using the computer built in the SOC production of Seyondike.
SGSB Webcast 3: Smart Grid IT Systems SecurityAndy Bochman
The Smart Grid is being constructed of out systems old and new, from creaking mainframes, to shiny new ones that live in the clouds, and everything in between. Utilities professionals, and those who serve them, need to ensure that they are secure so that we can build out and operate the future grid with confidence. This short presentation, the 3rd in a 10 part series on Smart Grid security, offers an easy to digest, business-level introduction to the topic.
AI and Machine Learning In Cybersecurity | A Saviour or Enemy?SahilRao25
Let's take a look at implementations of AI or machine learning in the cybersecurity world. To know more: https://www.softwarefirms.co/blog/ai-and-machine-learning-in-cybersecurity-a-saviour-or-enemy?utm_source=Social+media&utm_medium=Traffic&utm_campaign=SR
International Journal of Computational Engineering Research (IJCER) is dedicated to protecting personal information and will make every reasonable effort to handle collected information appropriately. All information collected, as well as related requests, will be handled as carefully and efficiently as possible in accordance with IJCER standards for integrity and objectivity.
A Study on Big Data Privacy Protection Models using Data Masking Methods IJECEIAES
In today’s predictive analytics world, data engineering play a vital role, data acquisition is carried out from various source systems and process as per the business applications and domain. Big Data integrates, governs, and secures big data with repeatable, reliable, and maintainable processes. Through volume, speed, and assortment of information characteristics try to reveal business esteem from enormous information. However, with information that is frequently deficient, conflicting, ungoverned, and unprotected, which is hazardous and enormous information being a risk instead of an advantage. What's more, with conventional methodologies that are manual and unpredictable, huge information ventures take too long to acknowledge business esteem. Reasonably and over and again conveying business esteem from enormous information requires another technique. In this connection, raw data has to be moved between onsite and offshore environment during this course of action, data privacy is a major concern and challenge. A Big Data Privacy platform can make it easier to detect, investigate, assess, and remediate threats from intruders. We tried to do complete study of Big Data Privacy using data masking methods on various data loads and different types. This work will help data quality analyst and big data developers while building the big data applications.
Final presentation january iia cybersecurity securing your 2016 audit planCameron Forbes Over
With 2015 cybersecurity themes and realities nearly in the rearview mirror, “Cybersecurity – Securing your 2016 Audit Plan” will shift our outlook to looking forward into what cybersecurity predictions are being made for 2016, and what key topics and themes will drive 2016 audit planning in the cybersecurity area.
Security Intelligence: Finding and Stopping Attackers with Big Data AnalyticsIBM Security
Attackers are using increasingly sophisticated methods to access your most sensitive data, and at the same time cloud, mobile and other innovations expand the perimeter you need to protect. This keynote discusses how to build a more secure enterprise with real-time analytics and behavior-based activity monitoring.
Advanced Security Intelligence tools store, correlate and analyze millions of events and flows daily to identify critical incidents your security team needs to investigate. The volume, variety and velocity involved clearly defines Security as a “Big Data challenge.”
Learn how advanced predictive analytics and incident forensics help defend against advanced attacks and respond to and remediate incidents quickly and effectively.
Biometric Based Intrusion Detection System using Dempster-Shafer Theory for M...rahulmonikasharma
In wireless mobile ad hoc network, mainly, two approaches are followed to protect the security such as prevention-based approaches and detection-based approaches. A Mobile Ad hoc Network (MANET) is a collection of autonomous wireless mobile nodes forming temporary network to interchange data (data packets) without using any fixed topology or centralized administration. In this dynamic network, each node changes its geographical position and acts as a router for forwarding packets to the other node. Current MANETs are basically vulnerable to different types of attacks. The multimodal biometric technology gives possible resolves for continuous user authentication and vulnerability in high security mobile ad hoc networks (MANETs). Dempster’s rule for combination gives a numerical method for combining multiple pieces of data from unreliable observers. This paper studies biometric authentication and intrusion detection system with data fusion using Dempster–Shafer theory in such MANETs. Multimodal biometric technologies are arrayed to work with intrusion detection to improve the limitations of unimodal biometric technique.
CSPCR: Cloud Security, Privacy and Compliance Readiness - A Trustworthy Fram...IJECEIAES
The privacy, handling, management and security of information in a cloud environment are complex and tedious tasks to achieve. With minimum investment and reduced cost of operations an organization can avail and apply the benefits of cloud computing into its business. This computing paradigm is based upon a pay as per your usage model. Moreover, security, privacy, compliance, risk management and service level agreement are critical issues in cloud computing environment. In fact, there is dire need of a model which can tackle and handle all the security and privacy issues. Therefore, we suggest a CSPCR model for evaluating the preparation of an organization to handle or to counter the threats, hazards in cloud computing environment. CSPCR discusses rules and regulations which are considered as pre-requisites in migrating or shifting to cloud computing services.
Safeguarding Data Privacy by Placing Multi-level Access Restrictionsrahulmonikasharma
People always tend to protect assets regardless of what they are. For example, a user may keep a memorable picture of his parents in a safe place. However, the degree of protection he provides is directly based on how much he values the assets. If the user highly value the picture of his great-grandparents, he might take an extra measure of precaution by copying it and placing it in a fireproof safe where it is guarded from most natural disasters and from theft, or he may just put it in a frame because he has many similar pictures or because he can reproduce it. Usage of Database management systems to store information in every aspect of an enterprise is rapidly growing. Every company need to protect all tangible assets like valuable information stored in a DBMS is often vital to the business interests of the organization and is regarded as a corporate asset of the company that must be protected. There is no doubt that a password is the key to opening a user account. The Stronger the password, the longer it takes a hacker to break in. User authentication depends on a password to ensure the user account’s identity. Since organizations increase their implementation of database systems as the key data management technology for regular operations and decision making, the security of data managed by these systems is an important task.
Accelerite Sentient helps IT administrators to find and fix critical security, compliance and configuration issues in the endpoint network within seconds. It gets real-time information across enterprise endpoints thus, classifies and presents the endpoint information obtained in visual and graphical format .
user centric machine learning framework for cyber security operations centerVenkat Projects
In order to ensure a company's Internet security, SIEM (Security Information and Event Management) system is in place to simplify the various preventive technologies and flag alerts for security events. Inspectors (SOC) investigate warnings to determine if this is true or not. However, the number of warnings in general is wrong with the majority and is more than the ability of SCO to handle all awareness. Because of this, malicious possibility. Attacks and compromised hosts may be wrong. Machine learning is a possible approach to improving the wrong positive rate and improving the productivity of SOC analysts. In this article, we create a user-centric engineer learning framework for the Internet Safety Functional Center in the real organizational context. We discuss regular data sources in SOC, their work flow, and how to process this data and create an effective machine learning system. This article is aimed at two groups of readers. The first group is intelligent researchers who have no knowledge of data scientists or computer safety fields but who engineer should develop machine learning systems for machine safety. The second groups of visitors are Internet security practitioners that have deep knowledge and expertise in Cyber Security, but do Machine learning experiences do not exist and I'd like to create one by themselves. At the end of the paper, we use the account as an example to demonstrate full steps from data collection, label creation, feature engineering, machine learning algorithm and sample performance evaluations using the computer built in the SOC production of Seyondike.
SGSB Webcast 3: Smart Grid IT Systems SecurityAndy Bochman
The Smart Grid is being constructed of out systems old and new, from creaking mainframes, to shiny new ones that live in the clouds, and everything in between. Utilities professionals, and those who serve them, need to ensure that they are secure so that we can build out and operate the future grid with confidence. This short presentation, the 3rd in a 10 part series on Smart Grid security, offers an easy to digest, business-level introduction to the topic.
World Wide Web plays an important role in providing various knowledge sources to the world, which helps many applications to provide quality service to the consumers. As the years go on the web is overloaded with lot of information and it becomes very hard to extract the relevant information from the web. This gives way to the evolution of the Big Data and the volume of the data keeps increasing rapidly day by day. Data mining techniques are used to find the hidden information from the big data. In this paper we focus on the review of Big Data, its data classification methods and the way it can be mined using various mining methods.
In this presentation we will look at the cause and effect of the problem, analyze preparedness and learn how you can better prepare, detect, respond and recover from cyber-attacks.
A Survey: Data Leakage Detection Techniques IJECEIAES
Data is an important property of various organizations and it is intellectual property of organization. Every organization includes sensitive data as customer information, financial data, data of patient, personal credit card data and other information based on the kinds of management, institute or industry. For the areas like this, leakage of information is the crucial problem that the organization has to face, that poses high cost if information leakage is done. All the more definitely, information leakage is characterize as the intentional exposure of individual or any sort of information to unapproved outsiders. When the important information is goes to unapproved hands or moves towards unauthorized destination. This will prompts the direct and indirect loss of particular industry in terms of cost and time. The information leakage is outcomes in vulnerability or its modification. So information can be protected by the outsider leakages. To solve this issue there must be an efficient and effective system to avoid and protect authorized information. From not so long many methods have been implemented to solve same type of problems that are analyzed here in this survey. This paper analyzes little latest techniques and proposed novel Sampling algorithm based data leakage detection techniques.
Data centric security key to digital business success - ulf mattsson - bright...Ulf Mattsson
With the exponential growth of data generation and collection stemming from new business models fueled by Big Data, cloud computing and the Internet of Things, we are potentially creating a cybercriminal's paradise where there are more opportunities than ever for that data to end up in the wrong hands. The biggest challenge in this interconnected world is merging data security with data value and productivity. If we are to realize the benefits promised by these new ways of doing business, we urgently need a data-centric strategy to protect the sensitive data flowing through these digital business systems. In this webinar, Ulf Mattsson explores these issues and provides solutions to bring together data insight and security to safely unlock the power of digital business.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
NUMERICAL SIMULATIONS OF HEAT AND MASS TRANSFER IN CONDENSING HEAT EXCHANGERS...ssuser7dcef0
Power plants release a large amount of water vapor into the
atmosphere through the stack. The flue gas can be a potential
source for obtaining much needed cooling water for a power
plant. If a power plant could recover and reuse a portion of this
moisture, it could reduce its total cooling water intake
requirement. One of the most practical way to recover water
from flue gas is to use a condensing heat exchanger. The power
plant could also recover latent heat due to condensation as well
as sensible heat due to lowering the flue gas exit temperature.
Additionally, harmful acids released from the stack can be
reduced in a condensing heat exchanger by acid condensation. reduced in a condensing heat exchanger by acid condensation.
Condensation of vapors in flue gas is a complicated
phenomenon since heat and mass transfer of water vapor and
various acids simultaneously occur in the presence of noncondensable
gases such as nitrogen and oxygen. Design of a
condenser depends on the knowledge and understanding of the
heat and mass transfer processes. A computer program for
numerical simulations of water (H2O) and sulfuric acid (H2SO4)
condensation in a flue gas condensing heat exchanger was
developed using MATLAB. Governing equations based on
mass and energy balances for the system were derived to
predict variables such as flue gas exit temperature, cooling
water outlet temperature, mole fraction and condensation rates
of water and sulfuric acid vapors. The equations were solved
using an iterative solution technique with calculations of heat
and mass transfer coefficients and physical properties.
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Forklift Classes Overview by Intella PartsIntella Parts
Discover the different forklift classes and their specific applications. Learn how to choose the right forklift for your needs to ensure safety, efficiency, and compliance in your operations.
For more technical information, visit our website https://intellaparts.com
6th International Conference on Machine Learning & Applications (CMLA 2024)ClaraZara1
6th International Conference on Machine Learning & Applications (CMLA 2024) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of on Machine Learning & Applications.