Fragmentation of Data in Large-Scale System For Ideal Performance and SecurityEditor IJCATR
Cloud computing is becoming prominent trend which offers the number of significant advantages. One of the ground laying
advantage of the cloud computing is the pay-as-per-use, where according to the use of the services, the customer has to pay. At present,
user’s storage availability improves the data generation. There is requiring farming out such large amount of data. There is indefinite
large number of Cloud Service Providers (CSP). The Cloud Service Providers is increasing trend for many number of organizations and
as well as for the customers that decreases the burden of the maintenance and local data storage. In cloud computing transferring data to
the third party administrator control will give rise to security concerns. Within the cloud, compromisation of data may occur due to
attacks by the unauthorized users and nodes. So, in order to protect the data in cloud the higher security measures are required and also
to provide security for the optimization of the data retrieval time. The proposed system will approach the issues of security and
performance. Initially in the DROPS methodology, the division of the files into fragments is done and replication of those fragmented
data over the cloud node is performed. Single fragment of particular file can be stored on each of the nodes which ensure that no
meaningful information is shown to an attacker on a successful attack. The separation of the nodes is done by T-Coloring in order to
prohibit an attacker to guess the fragment’s location. The complete data security is ensured by DROPS methodology
Research Inventy : International Journal of Engineering and Scienceinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Fragmentation of Data in Large-Scale System For Ideal Performance and SecurityEditor IJCATR
Cloud computing is becoming prominent trend which offers the number of significant advantages. One of the ground laying
advantage of the cloud computing is the pay-as-per-use, where according to the use of the services, the customer has to pay. At present,
user’s storage availability improves the data generation. There is requiring farming out such large amount of data. There is indefinite
large number of Cloud Service Providers (CSP). The Cloud Service Providers is increasing trend for many number of organizations and
as well as for the customers that decreases the burden of the maintenance and local data storage. In cloud computing transferring data to
the third party administrator control will give rise to security concerns. Within the cloud, compromisation of data may occur due to
attacks by the unauthorized users and nodes. So, in order to protect the data in cloud the higher security measures are required and also
to provide security for the optimization of the data retrieval time. The proposed system will approach the issues of security and
performance. Initially in the DROPS methodology, the division of the files into fragments is done and replication of those fragmented
data over the cloud node is performed. Single fragment of particular file can be stored on each of the nodes which ensure that no
meaningful information is shown to an attacker on a successful attack. The separation of the nodes is done by T-Coloring in order to
prohibit an attacker to guess the fragment’s location. The complete data security is ensured by DROPS methodology
Research Inventy : International Journal of Engineering and Scienceinventy
Research Inventy : International Journal of Engineering and Science is published by the group of young academic and industrial researchers with 12 Issues per year. It is an online as well as print version open access journal that provides rapid publication (monthly) of articles in all areas of the subject such as: civil, mechanical, chemical, electronic and computer engineering as well as production and information technology. The Journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence. Papers will be published by rapid process within 20 days after acceptance and peer review process takes only 7 days. All articles published in Research Inventy will be peer-reviewed.
Anonos NTIA Comment Letter letter on ''Big Data'' Developments and How They I...Ted Myerson
Read our NTIA comment letter on ''Big Data'' Developments and How They Impact the Consumer Privacy Bill of Rights. Filed with the NTIA on August 5, 2014.
Anonos has been working for over two years on technology that transforms data at the data element level enabling de-identification and functional obscurity that preserves the value of underlying data. Specifically, Anonos de-identification and functional obscurity risk management tools help to enable data subjects to share information in a controlled manner, enabling them to receive information and offerings truly personalized for them, while protecting misuse of their data; and to facilitate improved healthcare, medical research and personalized medicine by enabling aggregation of patient level data without revealing the identity of patients.
Can privacy survive the onslaught of online standard form "consent"; big data; and the Internet of Things? This paper wonders, and considers in particular the challenges of privacy and smart cities, which combine all three issues.
A brief account of the current state of EU data protection laws accompanied by the suggestion they face almost insuperable challenge from the combination of the illusory nature of consent in most online contracts; the rise of big data as a "treasure hunt"; and the rise oambient environments for data colelction (the "Internet of Things") where design imperatives push towards an absence of opportunities for informed specific consent.
InSTEDD’s Mesh4x (http://code.google.com/p/mesh4x) allows for data synchronization among different data sources regardless of technology platform or network connectivity. Users can make their data available to all users in their distributed project team or across different jurisdictions. We describe the utility and architecture of Mesh4x to share data over the Internet cloud where users determine which subset of their data are exchanged. This technology raises the potential to share data (e.g., during outbreak investigation, disaster recovery or humanitarian relief efforts) where multiple people are then allowed access to see each other’s data, update the information as the event unfolds, and securely exchange data with one another.
A New Data Offloading Framework Between Mobile Network and Campusijsrd.com
Data offloading is a technique to transfer data between different networks like mobile network to WiFi networks. WiFi or Wi-Max networks are very fast and require no spectrum fees to implement them. Whereas Mobile networks require the spectrum reservations which are highly costly and heavily affect the service charges offered by the cellular service providers. In our proposed scenario, we are using controlled data transfer mechanism to offload data between mobile network and campus wireless network to facilitate the calling facility in the campus for the smart-phone users using Wireless network in the campus.
A Dynamic Intelligent Policies Analysis Mechanism for Personal Data Processin...Konstantinos Demertzis
The evolution of the Internet of Things is significantly a
ected by legal restrictions imposed for personal data handling, such as the European General Data Protection Regulation (GDPR).
The main purpose of this regulation is to provide people in the digital age greater control over their personal data, with their freely given, specific, informed and unambiguous consent to collect and process the data concerning them. ADVOCATE is an advanced framework that fully complies with the requirements of GDPR, which, with the extensive use of blockchain and artificial intelligence technologies, aims to provide an environment that will support users in maintaining control of their personal data in the IoT ecosystem. This paper proposes and presents the Intelligent Policies Analysis Mechanism (IPAM) of the ADVOCATE framework, which, in an intelligent and fully automated manner, can identify conflicting rules or consents of the user, which may lead to the collection of personal data that can be used for profiling. In order to clearly identify and implement IPAM, the problem of recording user data from smart entertainment devices using Fuzzy Cognitive Maps (FCMs) was simulated. FCMs are an intelligent decision-making system that simulates the processes of a complex system, modeling the correlation base, knowing the behavioral and balance specialists of the system. Respectively, identifying conflicting rules that can lead to a profile, training is done using Extreme Learning Machines (ELMs), which are highly ecient neural systems of small and flexible architecture that can work optimally in complex environments.
TREND-BASED NETWORKING DRIVEN BY BIG DATA TELEMETRY FOR SDN AND TRADITIONAL N...ijngnjournal
Organizations face a challenge of accurately analyzing network data and providing automated action
based on the observed trend. This trend-based analytics is beneficial to minimize the downtime and
improve the performance of the network services, but organizations use different network management
tools to understand and visualize the network traffic with limited abilities to dynamically optimize the
network. This research focuses on the development of an intelligent system that leverages big data
telemetry analysis in Platform for Network Data Analytics (PNDA) to enable comprehensive trendbased networking decisions. The results include a graphical user interface (GUI) done via a web
application for effortless management of all subsystems, and the system and application developed in
this research demonstrate the true potential for a scalable system capable of effectively benchmarking
the network to set the expected behavior for comparison and trend analysis. Moreover, this research
provides a proof of concept of how trend analysis results are actioned in both a traditional network and
a software-defined network (SDN) to achieve dynamic, automated load balancing.
THE INTERNET OF THINGS: NEW INTEROPERABILITY, MANAGEMENT AND SECURITY CHALLENGESIJNSA Journal
The Internet of Things (IoT) brings connectivity to about every objects found in the physical space. It
extends connectivity to everyday objects. From connected fridges, cars and cities, the IoT creates
opportunities in numerous domains. However, this increase in connectivity creates many prominent
challenges. This paper provides a survey of some of the major issues challenging the widespread adoption
of the IoT. Particularly, it focuses on the interoperability, management, security and privacy issues in the
IoT. It is concluded that there is a need to develop a multifaceted technology approach to IoT security,
management, and privacy.
DESIGN AND IMPLEMENTATION OF THE ADVANCED CLOUD PRIVACY THREAT MODELING IJNSA Journal
Privacy-preservation for sensitive data has become a challenging issue in cloud computing. Threat
modeling as a part of requirements engineering in secure software development provides a structured
approach for identifying attacks and proposing countermeasures against the exploitation of vulnerabilities
in a system. This paper describes an extension of Cloud Privacy Threat Modeling (CPTM) methodology for
privacy threat modeling in relation to processing sensitive data in cloud computing environments. It
describes the modeling methodology that involved applying Method Engineering to specify characteristics
of a cloud privacy threat modeling methodology, different steps in the proposed methodology and
corresponding products. In addition, a case study has been implemented as a proof of concept to
demonstrate the usability of the proposed methodology. We believe that the extended methodology
facilitates the application of a privacy-preserving cloud software development approach from requirements
engineering to design.
The Cyberspace and Intensification of Privacy Invasioniosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Anonos NTIA Comment Letter letter on ''Big Data'' Developments and How They I...Ted Myerson
Read our NTIA comment letter on ''Big Data'' Developments and How They Impact the Consumer Privacy Bill of Rights. Filed with the NTIA on August 5, 2014.
Anonos has been working for over two years on technology that transforms data at the data element level enabling de-identification and functional obscurity that preserves the value of underlying data. Specifically, Anonos de-identification and functional obscurity risk management tools help to enable data subjects to share information in a controlled manner, enabling them to receive information and offerings truly personalized for them, while protecting misuse of their data; and to facilitate improved healthcare, medical research and personalized medicine by enabling aggregation of patient level data without revealing the identity of patients.
Can privacy survive the onslaught of online standard form "consent"; big data; and the Internet of Things? This paper wonders, and considers in particular the challenges of privacy and smart cities, which combine all three issues.
A brief account of the current state of EU data protection laws accompanied by the suggestion they face almost insuperable challenge from the combination of the illusory nature of consent in most online contracts; the rise of big data as a "treasure hunt"; and the rise oambient environments for data colelction (the "Internet of Things") where design imperatives push towards an absence of opportunities for informed specific consent.
InSTEDD’s Mesh4x (http://code.google.com/p/mesh4x) allows for data synchronization among different data sources regardless of technology platform or network connectivity. Users can make their data available to all users in their distributed project team or across different jurisdictions. We describe the utility and architecture of Mesh4x to share data over the Internet cloud where users determine which subset of their data are exchanged. This technology raises the potential to share data (e.g., during outbreak investigation, disaster recovery or humanitarian relief efforts) where multiple people are then allowed access to see each other’s data, update the information as the event unfolds, and securely exchange data with one another.
A New Data Offloading Framework Between Mobile Network and Campusijsrd.com
Data offloading is a technique to transfer data between different networks like mobile network to WiFi networks. WiFi or Wi-Max networks are very fast and require no spectrum fees to implement them. Whereas Mobile networks require the spectrum reservations which are highly costly and heavily affect the service charges offered by the cellular service providers. In our proposed scenario, we are using controlled data transfer mechanism to offload data between mobile network and campus wireless network to facilitate the calling facility in the campus for the smart-phone users using Wireless network in the campus.
A Dynamic Intelligent Policies Analysis Mechanism for Personal Data Processin...Konstantinos Demertzis
The evolution of the Internet of Things is significantly a
ected by legal restrictions imposed for personal data handling, such as the European General Data Protection Regulation (GDPR).
The main purpose of this regulation is to provide people in the digital age greater control over their personal data, with their freely given, specific, informed and unambiguous consent to collect and process the data concerning them. ADVOCATE is an advanced framework that fully complies with the requirements of GDPR, which, with the extensive use of blockchain and artificial intelligence technologies, aims to provide an environment that will support users in maintaining control of their personal data in the IoT ecosystem. This paper proposes and presents the Intelligent Policies Analysis Mechanism (IPAM) of the ADVOCATE framework, which, in an intelligent and fully automated manner, can identify conflicting rules or consents of the user, which may lead to the collection of personal data that can be used for profiling. In order to clearly identify and implement IPAM, the problem of recording user data from smart entertainment devices using Fuzzy Cognitive Maps (FCMs) was simulated. FCMs are an intelligent decision-making system that simulates the processes of a complex system, modeling the correlation base, knowing the behavioral and balance specialists of the system. Respectively, identifying conflicting rules that can lead to a profile, training is done using Extreme Learning Machines (ELMs), which are highly ecient neural systems of small and flexible architecture that can work optimally in complex environments.
TREND-BASED NETWORKING DRIVEN BY BIG DATA TELEMETRY FOR SDN AND TRADITIONAL N...ijngnjournal
Organizations face a challenge of accurately analyzing network data and providing automated action
based on the observed trend. This trend-based analytics is beneficial to minimize the downtime and
improve the performance of the network services, but organizations use different network management
tools to understand and visualize the network traffic with limited abilities to dynamically optimize the
network. This research focuses on the development of an intelligent system that leverages big data
telemetry analysis in Platform for Network Data Analytics (PNDA) to enable comprehensive trendbased networking decisions. The results include a graphical user interface (GUI) done via a web
application for effortless management of all subsystems, and the system and application developed in
this research demonstrate the true potential for a scalable system capable of effectively benchmarking
the network to set the expected behavior for comparison and trend analysis. Moreover, this research
provides a proof of concept of how trend analysis results are actioned in both a traditional network and
a software-defined network (SDN) to achieve dynamic, automated load balancing.
THE INTERNET OF THINGS: NEW INTEROPERABILITY, MANAGEMENT AND SECURITY CHALLENGESIJNSA Journal
The Internet of Things (IoT) brings connectivity to about every objects found in the physical space. It
extends connectivity to everyday objects. From connected fridges, cars and cities, the IoT creates
opportunities in numerous domains. However, this increase in connectivity creates many prominent
challenges. This paper provides a survey of some of the major issues challenging the widespread adoption
of the IoT. Particularly, it focuses on the interoperability, management, security and privacy issues in the
IoT. It is concluded that there is a need to develop a multifaceted technology approach to IoT security,
management, and privacy.
DESIGN AND IMPLEMENTATION OF THE ADVANCED CLOUD PRIVACY THREAT MODELING IJNSA Journal
Privacy-preservation for sensitive data has become a challenging issue in cloud computing. Threat
modeling as a part of requirements engineering in secure software development provides a structured
approach for identifying attacks and proposing countermeasures against the exploitation of vulnerabilities
in a system. This paper describes an extension of Cloud Privacy Threat Modeling (CPTM) methodology for
privacy threat modeling in relation to processing sensitive data in cloud computing environments. It
describes the modeling methodology that involved applying Method Engineering to specify characteristics
of a cloud privacy threat modeling methodology, different steps in the proposed methodology and
corresponding products. In addition, a case study has been implemented as a proof of concept to
demonstrate the usability of the proposed methodology. We believe that the extended methodology
facilitates the application of a privacy-preserving cloud software development approach from requirements
engineering to design.
The Cyberspace and Intensification of Privacy Invasioniosrjce
IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Running head Information security threats 1Information secur.docxwlynn1
Running head: Information security threats 1
Information security threats 7
Information security threats
Khaleem Pasha Mohammad
Campbellsville University
Introduction
The development of technology has been greatly embraced in hospitals, saved innumerable lives, and improved the quality of care provision. Not exclusively has technology changed patients knowledgeable and of their families but further consideration has had a significant impact on the strategy and practices of practitioners. One in every five of the areas that have greatly embraced technology is care data. Technology has helped inside the treatment of care records through the introduction of electronic health records, that's exchange paper records. With the availability of electronic care record (EHR) systems, a nurse can merely check for patients’ allergies, case history, weight, age, and prescription through the press of a button. However, the most quantity as institutions are clasp technology to stay up their health records, there are series of risks associated with these technologies. Since the start of technology inside the upkeep of care records, the care trade has been a primary target for cyber crimes. The motives behind cyber-attacks on care are clear as insurance firms, hospitals, care clinics, and totally different care suppliers keep health records that contain valuable information. The use of America Department of Health and Human Services for Civil Rights has acknowledged that over 100 million people square measure suffering from care data security breach. Gregorian calendar month 2015 was a foul month for electronic data jointly of the most important hacks on health care records on Anthem Blue Cross resulting in over seventy-eight million patients’ health data was taken. The cyber-attack scarf sensitive data that contained social securities, names, and residential addresses of people. Constant year, Premera Blue Cross reported that a cyber-attack has exposed medical information of over eleven million customers. Back in 2011, over 4.9 million health records were taken electronically from Science Application International Corporation. These are few cases of a care data breach with sensitive data falling into the hands of third parties. In guaranteeing that there are privacy and security in care records, bureau insurance mobility and responsibility (HIPPA) is providing legislation that hospital and totally different institutions that handle patient’s data to adopt in guaranteeing that varied security measures are enforced in protecting data.
HIPPA and Security Compliance
As much as institutions are clasp technology in storing care data, it is vital for institutions like HIPPA to regulate these bodies to substantiate that shopper rights are protected. The HIPAA Security Rule provides that electronic records of patients got to be protected in any respect times from any unauthorized access nonetheless the information being at rest or in transit.
The Adoption of a National Cloud Framework for Healthcare Delivery in NigeriaIJERA Editor
National cloud framework (NCF) , based on the cloud computing framework, is the idea of a cloud that is completely owned and managed by the government of a country for the sole purpose of delivering social amenities for the citizenry of that country with the aim of achieving the mandate of governance.The emergence of the internet and more specifically the idea of a cloud have brought about the application of information technology in almost all area of human activities, one such area is the healthcare sector.This paper tries to draw out a framework for the adoption of eHealth into cloud computing through the NCF model for the easy delivery of healthcare services by the government of Nigeria.The paper tries to address challenges concerning eHealth as regards Nigeria health sector and how the NCF model will help resolve these issues and also propose the adoption of this framework by other developing countries.
The study we present aims to explore several factors pertaining to Consumer Acceptance of business technology as it related to Blockchain. Identifying and developing the relevant measures is of importance to business technology managers and software development managers today. We ask the important question of “what measures best represent the established constructs of the technology acceptance model?” In order to address this issue, it is important to identify the key measurements that help us to understand the proposed constructs as they relate to blockchain technology as well as confirm their validity in isolation and in combination with each other. In this study, the factors we explore are perceived reputation, risk, and usefulness and transaction intentions. A survey was used whereby the methodology adapted previous measurements from related works and new measurements pertaining to usefulness and risk were developed in order to adhere to blockchain’s consumer acceptance framework. 268 students completed the questionnaire and an exploratory factor analysis was used in order to analyze the constructs and their measurements. Through the results we were able to identify and validate the relevant measurements as well as the proposed constructs.
Anonos FTC Comment Letter Big Data: A Tool for Inclusion or ExclusionTed Myerson
FTC Comment Letter Big Data: A Tool for Inclusion or Exclusion. Filed on August 21, 2014.
Anonos has been working for over two years on technology that transforms data at the data element level enabling de-identification and functional obscurity that preserves the value of underlying data. Specifically, Anonos de-identification and functional obscurity risk management tools help to enable data subjects to share information in a controlled manner, enabling them to receive information and offerings truly personalized for them, while protecting misuse of their data; and to facilitate improved healthcare, medical research and personalized medicine by enabling aggregation of patient level data without revealing the identity of patients.
IMPACT OF COMPUTING ON HUMANITY (IN EVERY ASPECT: DOMESTIC, SOCIAL AND PROFES...Rauf Khalid
IMPACT OF COMPUTING ON HUMANITY (IN EVERY ASPECT: DOMESTIC, SOCIAL AND PROFESSIONALLY) RELATING FROM IT TO CS TO SE.
Definition – What does Computing mean?
Computing is the process of using computer technology to complete a given goal-oriented task.
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.
How to protect privacy sensitive data that is collected to control the corona...Ulf Mattsson
In Singapore, the Government launched an app using short-distance Bluetooth signals to connect one phone using the app with another user who is close by. It stores detailed records on a user's phone for 21 days decrypt the data if there is a public health risk related to an individual's movements.
China used a similar method to track a person's health status and to control movement in cities with high numbers of coronavirus cases. Individuals had to use the app and share their status to be able to access public transportation.
The keys to addressing privacy concerns about high-tech surveillance by the state is de-identifying the data and giving individuals control over their own data. Personal details that may reveal your identity such as a user's name should not be collected or should be protected with access to be granted for only specific health purposes, and data should be deleted after its specific use is no longer needed.
We will discuss how to protect privacy sensitive data that is collected to control the coronavirus outbreak.
Best 3 Cyber Threats in Healthcare Organizations Today | The Lifesciences Mag...The Lifesciences Magazine
Ryan Witt, who is in charge of cyber threats in healthcare at Proofpoint, says that this is why U.S. hospital defenses have always been weak. Since attackers learned this, hospitals in the United States have been a top target. Cybercriminals continue to focus on U.S. health care, and hospital information security is always trying to catch up.
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 .
Our approach to data analysis, data use, and data management are evolving across all sectors as a result of big data. And one sector where it may be effectively deployed is Cloud Tech Trends in healthcare, where it can help people avoid dangerous illnesses, lower the total cost of treatment, and anticipate disease outbreaks.
C053GXML 10192012 214425 Page 131cC H A P T E R.docxclairbycraft
C053GXML 10/19/2012 21:44:25 Page 131
c
C H A P T E R
5
Privacy and Cyberspace
Of all the ethical issues associated with the use of cybertechnology, perhaps none has
received more media attention than concern about the loss of personal privacy. In this
chapter, we examine issues involving privacy and cybertechnology by asking the
following questions:
� How are privacy concerns generated by the use of cybertechnology different from
privacy issues raised by earlier technologies?
� What, exactly, is personal privacy, and why is it valued?
� How do computerized techniques used to gather and collect information, such as
Internet “cookies” and radio frequency identification (RFID) technology, raise
concerns for personal privacy?
� How do the transfer and exchange of personal information across and between
databases, carried out in computerized merging and matching operations,
threaten personal privacy?
� How do tools used to “mine” personal data exacerbate existing privacy concerns
involving cybertechnology?
� Can personal information we disclose to friends in social networking services
(SNS), such as Facebook and Twitter, be used in ways that threaten our privacy?
� How do the use of Internet search engines and the availability of online public
records contribute to the problem of protecting “privacy in public”?
� Do privacy-enhancing tools provide Internet users with adequate protection for
their online personal information?
� Are current privacy laws and data protection schemes adequate?
Concerns about privacy can affect many aspects of an individual’s life—from
commerce to healthcare to work to recreation. For example, we speak of consumer
privacy, medical and healthcare privacy, employee and workplace privacy, and so forth.
Unfortunately, we cannot examine all of these categories of privacy in a single chapter. So
we will have to postpone our analysis of certain kinds of privacy issues until later chapters
in the book. For example, we will examine some ways that medical/genetic privacy issues
are aggravated by cybertechnology in our discussion of bioinformatics in Chapter 12, and
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we will examine some particular employee/workplace privacy issues affected by the use
of cybertechnology in our discussion of workplace surveillance and employee mon-
itoring in Chapter 10. Some cyber-related privacy concerns that conflict with cyberse-
curity issues and national security interests will be examined in Chapter 6, where
privacy-related concerns affecting “cloud computing” are also considered. In our
discussion of emerging and converging technologies in Chapter 12, we examine
some issues that affect a relatively new category of privacy called “location privacy,”
which arise because of the use of embedded chips, RFID technology, and global
positioning systems (GPS).
Although some cyber-related privacy concerns are specific to one or more spheres or
sectors—i.e., employment, healthcare, and so f.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf
Data privacy and security
1. Data Security and Privacy
This is about the privacy implications of new communications or media technologies and
services . One of the aims of this research is to know the basic security principles of some of
the rising businesses especially in the information technology industry against cyber-threats
or even cyber terrorism . This study is important because as the new media give rise to new
technological advances , threats cannot be avoided . That is the reason for creating such
principles to detect or even fight terrorism and related cases , and that is what this isall
about.
When discussing about new media , that includes wireless communications and Internet
technology . The past few years , the technological realm , as well as privacy has been
changing from one phase to another and can be appalling and appealing , even dangerous in
some sense . One of the major effects of technology is that it is now simpler to merge
databases Personal information consistently flows across restrictions . Also computer
networking offers the basis for innovative cohort of new communications media . For
instance , the analog telephone system , privacy concerns such as the abuse of records of
subscribers ' calls and wiretapping were fundamentally bound by the system 's architecture .
The Internet and other advanced forms of media like online services can confine in depth
information about their users in a digital way . The digital technology also amplifies the
competence of the authorities to observe communications and the capability of subscribers
in protecting them .Simultaneously , the new media have presented the technical basis for a
new community . The Internet has been used to systematize technologists and privacy
activists , themselves , transmit information and utilize software directly . Even low-cost
electronic mail alerts have been employed in campaigns in opposition to customer
databases wiretapping , and government schemes in controlling contact to strong
cryptography . The small group of public sphere became a large group of individuals in
connection to public-policy concerns , that means a larger participation of the public has
offered the new technological advances its way for a dominant representational importance
. Generally , defining privacy becomes a challenge , as the deficiency of adequate definition
has been the problem of its history . There is a need of deeper understanding of the concept
in to support policy prescriptions
One of the privacy principles that have been created is the CNID that to some extent is
deceptively known as Caller ID . CNID is explained as a device of a switching system , which
conveys a caller 's telephone number to the telephone being called , that is the recipient 's
telephone might display the number or use it to a database . With this mechanism
conflicting privacy interests may be affected for instance , the caller 's right to avoid
revealing personal information and the recipient 's right to diminish unnecessary
interruptions by declining to answer calls from certain numbers.
2. The modern computer is more than a sophisticated indexing or adding machine, or a
miniaturized library; it is the keystone for a new communications medium whose capacities
and implications we are only beginning to realize. In the foreseeable future, computer
systems will be tied together by television, satellites, and lasers, and we will move large
quantities of information over vast distances in imperceptible units of time.
The benefits to be derived from the new technology are many. In one medical center,
doctors are already using computers to monitor heart patients in an attempt to isolate the
changes in body chemistry that precede a heart attack. The search is for an “early warning
system” so that treatment is not delayed until after the heart attack has struck. Elsewhere,
plans are being made to establish a data bank in which vast amounts of medical information
will be accessible through remote terminals to doctors thousands of miles away. A doctor
will then be able to determine the antidote for various poisons or get the latest literature on
a disease by dialing a telephone or typing an inquiry on a computer console.
But such a Data Center poses a grave threat to individual freedom and privacy. With its
insatiable appetite for information, its inability to forget anything that has been put into it, a
central computer might become the heart of a government surveillance system that would
lay bare our finances, our associations, or our mental and physical health to government
inquisitors or even to casual observers. Computer technology is moving so rapidly that a
sharp line between statistical and intelligence systems is bound to be obliterated. Even the
most innocuous of centers could provide the “foot in the door” for the development of an
individualized computer-based federal snooping system.
Conclusion
In years to come, people will pay more attention to privacy and security issues, but probably
it will cost a lot. Many people who have posted jolly party photos to web have already seen
consequences, they have their lessons learned, but this is just the most simple example.
Lives could be ruined and one can only hope, that in states and companies level the
proactive approach is successful.