New regulations and the evolving cybersecurity technology landscapeUlf Mattsson
As the cyber threat landscape continues to evolve, organizations worldwide are increasing their spend on cybersecurity technology. We have a transition from 3rd party security providers into native cloud security services. The challenge of securing enterprise data assets is increasing. What’s needed to control Cyber Risk and stay Compliant in this evolving landscape?
We will discuss evolving industry standards, how to keep track of your data assets, protect your sensitive data and maintain compliance to new regulations.
The Convergence of Public and Private Biometric SolutionsM2SYS Technology
The evolution of biometric technology for individual identification has moved from governmental deployments to the private sector. What are the elements driving private sector growth of biometrics, what is the crossover between these two sectors, and what comes next?
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.
Emerging application and data protection for multi cloudUlf Mattsson
Emerging Application and Data Protection for Multi-Cloud
Personal data privacy will be the most prominent issue affecting how businesses gather, store, process, and disclose data in public cloud. Businesses have been inundated with information on what recent privacy laws like GDPR and CCPA require, but many are still trying to figure out how to comply with them on a practical level. Many companies are focusing on data privacy from the legal and security side, which are foundational, but are missing the focus on data. The good news is that these data privacy regulations compel businesses to get a handle on personal data - how they get it, where they get it from, which systems process it, where it goes internally and externally, etc. In other words, the new norms of data privacy require proactive data management, which enables organizations to extract real business value from their data, improve the customer experience, streamline internal processes, and better understand their customers. The new Verizon Data Breach Investigations Report (DBIR) provides perspectives on how Criminals simply shift their focus and adapt their tactics to locate and steal the data they find to be of most value. This session will discuss Emerging Application and Data Protection for Multi-cloud and review Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation.
Research on Privacy Protection in Big Data EnvironmentIJERA Editor
Now big data has become a hot topic in academia and industry, it is affecting the mode of thinking and working, daily life. But there are many security risks in data collection, storage and use. Privacy leakage caused serious problems to the user, false data will lead to error results of big data analysis. This paper first introduces the security problems faced by big data,analyzes the causes of privacy problems,discussesthe principle to solve the problem. Finally,discusses technical means for privacy protection.
New regulations and the evolving cybersecurity technology landscapeUlf Mattsson
As the cyber threat landscape continues to evolve, organizations worldwide are increasing their spend on cybersecurity technology. We have a transition from 3rd party security providers into native cloud security services. The challenge of securing enterprise data assets is increasing. What’s needed to control Cyber Risk and stay Compliant in this evolving landscape?
We will discuss evolving industry standards, how to keep track of your data assets, protect your sensitive data and maintain compliance to new regulations.
The Convergence of Public and Private Biometric SolutionsM2SYS Technology
The evolution of biometric technology for individual identification has moved from governmental deployments to the private sector. What are the elements driving private sector growth of biometrics, what is the crossover between these two sectors, and what comes next?
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.
Emerging application and data protection for multi cloudUlf Mattsson
Emerging Application and Data Protection for Multi-Cloud
Personal data privacy will be the most prominent issue affecting how businesses gather, store, process, and disclose data in public cloud. Businesses have been inundated with information on what recent privacy laws like GDPR and CCPA require, but many are still trying to figure out how to comply with them on a practical level. Many companies are focusing on data privacy from the legal and security side, which are foundational, but are missing the focus on data. The good news is that these data privacy regulations compel businesses to get a handle on personal data - how they get it, where they get it from, which systems process it, where it goes internally and externally, etc. In other words, the new norms of data privacy require proactive data management, which enables organizations to extract real business value from their data, improve the customer experience, streamline internal processes, and better understand their customers. The new Verizon Data Breach Investigations Report (DBIR) provides perspectives on how Criminals simply shift their focus and adapt their tactics to locate and steal the data they find to be of most value. This session will discuss Emerging Application and Data Protection for Multi-cloud and review Differential privacy, Tokenization, Homomorphic encryption, and Privacy-preserving computation.
Research on Privacy Protection in Big Data EnvironmentIJERA Editor
Now big data has become a hot topic in academia and industry, it is affecting the mode of thinking and working, daily life. But there are many security risks in data collection, storage and use. Privacy leakage caused serious problems to the user, false data will lead to error results of big data analysis. This paper first introduces the security problems faced by big data,analyzes the causes of privacy problems,discussesthe principle to solve the problem. Finally,discusses technical means for privacy protection.
Information security or Infosec worries with protecting information from unauthorized access. Its a part of information risk management and it therefore involves preventing or reducing the probability of unauthorized access, use, disclosure, disruption, deletion, corruption, modification, inspect or recording. In this article we will talk about the IT security, various threads to information security, different obstacles of information security and the various ways in which internet can be lucrative. Bhavya Verma | Purva Choudhary | Dr. Deepak Chahal "An Empirical Study on Information Security" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30888.pdf Paper Url :https://www.ijtsrd.com/computer-science/computer-security/30888/an-empirical-study-on-information-security/bhavya-verma
What is cyber law?
What is cyber crime?
Cybercrimes areas
what law relating to
Data protection and privacy
Software Licensing Issues
IT acts
Policy Versus Law
Codes of Ethics and Professional Organizations
Finnish Information Security Cluster meeting on March 21st in Helsinki. IoT in healthcare and the various current and emerging cyber security risks IoT brings into healthcare environment, especially hospitals, and their security requirements and frameworks; includes some examples of dark web activity.
Webinar: Managing Access to Personal Data: Protecting "Personal Clouds" with UMA and OpenID Connect You can't spell human without UMA... The User-Managed Access (UMA) protocol was created to help individuals gain control over data sharing -- with software applications, with family and friends, with online retailers, and even with doctors and employers.
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.
IDoT: Challenges from the IDentities of Things Landscapekantarainitiative
This is a presentation from the Kantara Initiative Identities of the Things (IDoT) Discussion Group. The presentations summarizes the findings to date of the DG for next steps and industry discussion and innovation.
Ensuring Effective Information Security Management Information Classification...ijtsrd
This study is based on information security management in financial institutions from the perspective of information classification and access control. As objectives, the study set out to assess information classification practices in microfinance institutions and their effect on overall information security management, and to examine access control in microfinance institutions and how it impacts information security management. The study made use of the Information Security Theory by Horne, Ahmad and Maynard, and a sequential exploratory mixed method survey research design. As data collection instruments, a questionnaire and an interview guide were used, with validity and reliability guaranteed by subject experts, ISO IEC checklists, and Kuder Richardson formula 20 which realised a score of 0.81. Of the 30 managers and information security officers who participated in the study, a response rate of 100 was registered. To analyse data, descriptive statistics and thematic analysis were used. The findings portray loopholes in information classification and access control and thus in the information security management programme of participating institutions. Some recommendations put forth are the need to adopt information classification schedules with distinguished levels of sensitivity, drafting of access control policies, signing of non disclosure agreements and introduction of information security officers to ensure implementation and follow up. Rosemary M. Shafack | Awiye Sharon Serkwem "Ensuring Effective Information Security Management: Information Classification and Access Control Practices" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38122.pdf Paper URL : https://www.ijtsrd.com/management/other/38122/ensuring-effective-information-security-management-information-classification-and-access-control-practices/rosemary-m-shafack
An important part of RSAC 2020 focused on Business-Critical Application Security and we're seeing a transformational shift in technology. The enterprise architecture we used to know is changing. Cloud application development is accelerating and diversifying where many organizations have virtual machines, containers, and now serverless applications running in the cloud, transforming code into infrastructure. Microservices make a lot of sense for scale and development agility, but if everything is talking to everything else via APIs, it’s likely that there are many (and I mean many) application vulnerabilities. Additionally, API security is new, so processes are likely immature, and API security sits somewhere between application developers, DevOps, and cybersecurity, leading to organizational and skills challenges. We will organize this chaos from RSAC and discuss Security in The API Ecosystem.
Security is morphing to a hybrid model for distributed policy enforcement across cloud-based environments. At the same time, organizations want central policy management for the whole environment.
You will learn more about what I found interesting at RSAC:
1. “Emerging Privacy Issues”
2. “The Human Factor”
3. “Cloud Security”
4. “Advancements in Machine Learning”
5. “Security in App Development”
6. “Trends from the Innovation Sandbox”
7. “New Standards and Regulations”
8. “Security for The API Economy”
With the new interconnected age comes new risks for cyber attacks and other fraudulent activity. Do you know what you need to keep your end users protected? Digital Insight discusses security and compliance in the interconnected age.
Proven Practices to Protect Critical Data - DarkReading VTS DeckNetIQ
NetIQ was a Platinum sponsor for “Plugging the Leaks: Finding and Fixing the IT Security Holes in Your Enterprise,” a virtual trade show (VTS) produced by Information Week Magazine and Dark Reading.
This was our presentation deck: "Proven Practices to Protect Critical Data" presented by Matt Mosley, Senior Product Manager, and Matt Ulery, Director of Product Management during a live presentation. They explored some of the most significant problems facing security teams tasked with protecting critical data. And, they will reveal some of the most effective approaches and technology that can be used to quickly identify real threats.
#1NWebinar – Getting Personal: Creating a Customized Interactive ExperienceOne North
Business and relationship development have been an increasingly important focus for law firms. So much of business development centers on one-on-one conversations with current or prospective clients, where lawyers are able to mold their message to the unique needs of each individual. Likewise, pitches, proposals and RFP responses are finely tuned and tailored to each deal.
Join Jeff Small and Sarah Levine Meyer as they discuss how you can extend this customized approach to your digital marketing strategy. They explain the difference between explicit and implicit personalization and suggest techniques your firm can employ to better anticipate a website visitor’s needs and tailor messaging more appropriately to them.
To view a recording of the webinar, visit http://bit.ly/XETICo.
Data Protection & Privacy During the Coronavirus PandemicUlf Mattsson
Remote work is quickly becoming the new normal and criminals are taking advantage of this chaotic situation.
The EU Agency for Cybersecurity's providing guidance for the huge increases in the number of people working remotely, using tele-health it is vital that we also take care of our cyber hygiene.
Viewers will learn more about:
- How to use encryption, controlling new storage of regulated data and data sharing in this new situation.
- Anonymization leaves personal data open to re-identification, which exposes firms to GDPR non-compliance risks.
- How are the HIPAA rules changing in this situation?
- GDPR prescribing pseudonymization and how is that work.
- How is CCPA changing the rules?
- How to secure wi-fi connections preventing snooping of your traffic and fully updated anti-virus and security software, also on mobile phones.
- How important files can be backed up remote or locally. In a worst case scenario, staff could fall foul of ransomware for instance.
- What apps are secure to use in this new era?
- Should we use MFA, PW managers or local PW management?
We will also discuss how to use the CERT-EU News Monitor to stay updated on the latest threats and check the following basics.
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.
Information security or Infosec worries with protecting information from unauthorized access. Its a part of information risk management and it therefore involves preventing or reducing the probability of unauthorized access, use, disclosure, disruption, deletion, corruption, modification, inspect or recording. In this article we will talk about the IT security, various threads to information security, different obstacles of information security and the various ways in which internet can be lucrative. Bhavya Verma | Purva Choudhary | Dr. Deepak Chahal "An Empirical Study on Information Security" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-4 , June 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30888.pdf Paper Url :https://www.ijtsrd.com/computer-science/computer-security/30888/an-empirical-study-on-information-security/bhavya-verma
What is cyber law?
What is cyber crime?
Cybercrimes areas
what law relating to
Data protection and privacy
Software Licensing Issues
IT acts
Policy Versus Law
Codes of Ethics and Professional Organizations
Finnish Information Security Cluster meeting on March 21st in Helsinki. IoT in healthcare and the various current and emerging cyber security risks IoT brings into healthcare environment, especially hospitals, and their security requirements and frameworks; includes some examples of dark web activity.
Webinar: Managing Access to Personal Data: Protecting "Personal Clouds" with UMA and OpenID Connect You can't spell human without UMA... The User-Managed Access (UMA) protocol was created to help individuals gain control over data sharing -- with software applications, with family and friends, with online retailers, and even with doctors and employers.
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.
IDoT: Challenges from the IDentities of Things Landscapekantarainitiative
This is a presentation from the Kantara Initiative Identities of the Things (IDoT) Discussion Group. The presentations summarizes the findings to date of the DG for next steps and industry discussion and innovation.
Ensuring Effective Information Security Management Information Classification...ijtsrd
This study is based on information security management in financial institutions from the perspective of information classification and access control. As objectives, the study set out to assess information classification practices in microfinance institutions and their effect on overall information security management, and to examine access control in microfinance institutions and how it impacts information security management. The study made use of the Information Security Theory by Horne, Ahmad and Maynard, and a sequential exploratory mixed method survey research design. As data collection instruments, a questionnaire and an interview guide were used, with validity and reliability guaranteed by subject experts, ISO IEC checklists, and Kuder Richardson formula 20 which realised a score of 0.81. Of the 30 managers and information security officers who participated in the study, a response rate of 100 was registered. To analyse data, descriptive statistics and thematic analysis were used. The findings portray loopholes in information classification and access control and thus in the information security management programme of participating institutions. Some recommendations put forth are the need to adopt information classification schedules with distinguished levels of sensitivity, drafting of access control policies, signing of non disclosure agreements and introduction of information security officers to ensure implementation and follow up. Rosemary M. Shafack | Awiye Sharon Serkwem "Ensuring Effective Information Security Management: Information Classification and Access Control Practices" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-1 , December 2020, URL: https://www.ijtsrd.com/papers/ijtsrd38122.pdf Paper URL : https://www.ijtsrd.com/management/other/38122/ensuring-effective-information-security-management-information-classification-and-access-control-practices/rosemary-m-shafack
An important part of RSAC 2020 focused on Business-Critical Application Security and we're seeing a transformational shift in technology. The enterprise architecture we used to know is changing. Cloud application development is accelerating and diversifying where many organizations have virtual machines, containers, and now serverless applications running in the cloud, transforming code into infrastructure. Microservices make a lot of sense for scale and development agility, but if everything is talking to everything else via APIs, it’s likely that there are many (and I mean many) application vulnerabilities. Additionally, API security is new, so processes are likely immature, and API security sits somewhere between application developers, DevOps, and cybersecurity, leading to organizational and skills challenges. We will organize this chaos from RSAC and discuss Security in The API Ecosystem.
Security is morphing to a hybrid model for distributed policy enforcement across cloud-based environments. At the same time, organizations want central policy management for the whole environment.
You will learn more about what I found interesting at RSAC:
1. “Emerging Privacy Issues”
2. “The Human Factor”
3. “Cloud Security”
4. “Advancements in Machine Learning”
5. “Security in App Development”
6. “Trends from the Innovation Sandbox”
7. “New Standards and Regulations”
8. “Security for The API Economy”
With the new interconnected age comes new risks for cyber attacks and other fraudulent activity. Do you know what you need to keep your end users protected? Digital Insight discusses security and compliance in the interconnected age.
Proven Practices to Protect Critical Data - DarkReading VTS DeckNetIQ
NetIQ was a Platinum sponsor for “Plugging the Leaks: Finding and Fixing the IT Security Holes in Your Enterprise,” a virtual trade show (VTS) produced by Information Week Magazine and Dark Reading.
This was our presentation deck: "Proven Practices to Protect Critical Data" presented by Matt Mosley, Senior Product Manager, and Matt Ulery, Director of Product Management during a live presentation. They explored some of the most significant problems facing security teams tasked with protecting critical data. And, they will reveal some of the most effective approaches and technology that can be used to quickly identify real threats.
#1NWebinar – Getting Personal: Creating a Customized Interactive ExperienceOne North
Business and relationship development have been an increasingly important focus for law firms. So much of business development centers on one-on-one conversations with current or prospective clients, where lawyers are able to mold their message to the unique needs of each individual. Likewise, pitches, proposals and RFP responses are finely tuned and tailored to each deal.
Join Jeff Small and Sarah Levine Meyer as they discuss how you can extend this customized approach to your digital marketing strategy. They explain the difference between explicit and implicit personalization and suggest techniques your firm can employ to better anticipate a website visitor’s needs and tailor messaging more appropriately to them.
To view a recording of the webinar, visit http://bit.ly/XETICo.
Data Protection & Privacy During the Coronavirus PandemicUlf Mattsson
Remote work is quickly becoming the new normal and criminals are taking advantage of this chaotic situation.
The EU Agency for Cybersecurity's providing guidance for the huge increases in the number of people working remotely, using tele-health it is vital that we also take care of our cyber hygiene.
Viewers will learn more about:
- How to use encryption, controlling new storage of regulated data and data sharing in this new situation.
- Anonymization leaves personal data open to re-identification, which exposes firms to GDPR non-compliance risks.
- How are the HIPAA rules changing in this situation?
- GDPR prescribing pseudonymization and how is that work.
- How is CCPA changing the rules?
- How to secure wi-fi connections preventing snooping of your traffic and fully updated anti-virus and security software, also on mobile phones.
- How important files can be backed up remote or locally. In a worst case scenario, staff could fall foul of ransomware for instance.
- What apps are secure to use in this new era?
- Should we use MFA, PW managers or local PW management?
We will also discuss how to use the CERT-EU News Monitor to stay updated on the latest threats and check the following basics.
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.
DATA PRIVACY IN AN AGE OF INCREASINGLY SPECIFIC AND PUBLICLY AVAILABLE DATA: ...Ted Myerson
DATA PRIVACY IN AN AGE OF INCREASINGLY SPECIFIC AND PUBLICLY AVAILABLE DATA: AN ANALYSIS OF RISK RESULTING FROM DATA TREATED USING ANONOS' JUST-IN-TIME-IDENTITY DYNAMIC DATA OBSCURITY METHODOLOGY
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.
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 .
Anonos Dynamic Data Obscurity - Privacy For The Interconnected WorldTed Myerson
Innovative opportunities, such as genomic research and the Internet of Things, are better able to achieve their enormous market potential by diminishing expenses, time-spent and data loss from current de-identification and data minimization practices. By addressing the concerns of governmental organizations charged with protecting the rights of data subjects with new technology controls, organizations can save money and conduct better research while minimizing out-of-pocket and opportunity costs associated with data privacy.
The Anonos approach avoids the pitfalls of both full and zero privacy environments. Full privacy leads to lack of data, an unclear picture and no personalized experiences for the data subjects while zero privacy actually reduces the value of data because it does not eliminate anyone or anything, leaving too many choices and “noisy” data while exposing data subjects to potential discrimination and harm.
The uncontrollable flow of change in technology these days and use of data, information and knowledge is creating a huge challenges in the front of application User and developer both. Data breaches are happening in every sector and every level of all sectors. These challenges are countless starting from operational to strategic and becoming more challengeable day by day as the penetration of Information technology application among the common man is increasing. Therefore the threat is become real. Everybody customers or companies, retailer or stakeholders , distributor or dealer need assurance; from the provider. corporate face up reputational risks among the user at every step. So there is a need to understand the information technology, a frame work or body which can manage , risks and controls. A body or a system of Privacy management system is which can build a frame work for protection of the data and at the same time can maintain , privacy and agreement issues. This can be done by adoption of a scalable risk-based method which can determine what to be secured and how by performing the certain action.
principles of mobile privacy and policy guidelines .it also include regulatory framework and mobile applications privacy by design developmenet modules
Protecting Data Privacy in Analytics and Machine LearningUlf Mattsson
In this session, we will discuss a range of new emerging technologies for privacy and confidentiality in machine learning and data analytics. We will discuss how to use open source tools to put these technologies to work for databases and other data sources.
When we think about developing AI responsibly, there’s many different activities that we need to think about. In this session, we will discuss technologies that help protect people, preserve privacy, and enable you to do machine learning confidentially.
This session discusses industry standards and emerging privacy-enhanced computation techniques, secure multiparty computation, and trusted execution environments. We will discuss Zero Trust philosophy fundamentally changes the way we approach security since trust is a vulnerability that can be exploited particularly when working remotely and increasingly using cloud models. We will also discuss the “why, what, and how” of techniques for privacy preserving computing.
We will review how different industries are taking opportunity of these privacy preserving techniques. A retail company used secure multi-party computation to be able to respect user privacy and specific regulations and allow the retailer to gain insights while protecting the organization’s IP. Secure data-sharing is used by a healthcare organization to protect the privacy of individuals and they also store and search on encrypted medical data in cloud.
We will also review the benefits of secure data-sharing for financial institutions including a large bank that wanted to broaden access to its data lake without compromising data privacy but preserving the data’s analytical quality for machine learning purposes.
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.
Big data refer to the ongoing accumulation of massive, often complex and always-changing data sets – for instance, machine-generated data from sensors or cell phone GPS signals. Or it may be data from social media sites.
Open data are data sets made available to the public to use and reuse. Those sets may come from Big Data but they don’t have to.The act of opening data is like extending an invitation to anyone to freely take the data and turn it into something useful.
My presentation in eHealth Data Forum in Athens/Greece (9/12/2019) introducing the data flows within the health domain under the MyData architecture. This presentation understands MyData as a fair ecosystem, product of the current techno-economic paradigm shift
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.
https://digitalguardian.com/blog/social-engineering-attacks-common-techniques-how-prevent-attack
Statement of Michelle Richardson, Director, Privacy & Data
Center for Democracy & Technology
before the
United States Senate Committee on the Judiciary
GDPR & CCPA: Opt-ins, Consumer Control, and the Impact on Competition and Innovation
March 12, 2019
On behalf of the Center for Democracy & Technology (CDT), thank you for the
opportunity to testify about the importance of crafting a federal consumer privacy law that
provides meaningful protections for Americans and clarity for entities of all sizes and sectors.
CDT is a nonpartisan, nonprofit 501(c)(3) charitable organization dedicated to advancing the
rights of the individual in the digital world. CDT is committed to protecting privacy as a
fundamental human and civil right and as a necessity for securing other rights such as access to
justice, equal protection, and freedom of expression. CDT has offices in Washington, D.C., and
Brussels, and has a diverse funding portfolio from foundation grants, corporate donations, and
individual donations.1
The United States should be leading the way in protecting digital civil rights. This hearing
is an opportunity to learn how Congress can improve upon the privacy frameworks offered in
the European Union via the General Data Protection Regulation (GDPR) and the California
Consumer Privacy Act (CCPA) to craft a comprehensive privacy law that works for the U.S. Our
digital future should be one in which technology supports human rights and human dignity. This
future cannot be realized if people are forced to choose between protecting their personal
information and using the technologies and services that enhance our lives. This future depends
on clear and meaningful rules governing data processing; rules that do not simply provide
1 All donations over $1,000 are disclosed in our annual report and are available online at:
https://cdt.org/financials/.
2
people with notices and check boxes but actually protect them from privacy and security
abuses and data-driven discrimination; protections that cannot be signed away.
Congress should resist the narratives that innovative technologies and strong privacy
protections are fundamentally at odds, and that a privacy law would necessarily cement the
market dominance of a few large companies. Clear and focused privacy rules can help
companies of all sizes gain certainty with respect to appropriate and inappropriate uses of data.
Clear rules will also empower engineers and product managers to design for privacy on the
front end, rather than having to wait for a public privacy scandal to force the rollback of a
product or data practice.
We understand that drafting comprehensive privacy legislation is a complex endeavor.
Over the past year we have worked with partners in civil societ.
iSPIRT's Response on Digital Information Security in Healthcare Act (DISHA)ProductNation/iSPIRT
We believe that India is at a unique tipping point where only a fraction of its users have gone online, and a majority are yet to do so. Therefore, it is critical that we build the right set of protections and empowerments for these users as they enter the digital world.
It is equally important not to limit our thinking to simply “protection” of data. We must also question how we can “empower” individuals, who will be data rich before they are economically rich, with better access to their own healthcare data such that they can become more engaged participants and managers of their health care.
We welcome the proposed DISHA Act that seeks to Protect and Empower Individuals in regards to their electronic health data - we have provided our feedback on the DISHA Act and have also proposed technological approaches in this response
Protecting Intellectual Property in the Age of WikiLeaksSocialKwan
WikiLeaks stands as a warning for all of us responsible for protecting the digital assets and intellectual property (IP) of our organizations.
It is tempting to think that WikiLeaks, and the explosion of similar whistleblower and vigilante sites, as only interested in information from government, military, or political organizations. But a recent Forbes interview with WikiLeaks founder Julian Assange has a warning for us all.
Security and Privacy of Big Data in Mobile DevicesIOSRjournaljce
Presently, the volume of data generated via mobile devices is at an exponential rate due to the rapid advancement in internet-enabled mobile devices, which makes it complex to ensure the privacy and security of this data. Cloud-based server is currently considered one of the most reliable solutions to address these issues. Nevertheless, the increasing uncertainties of storing useful and sensitive big data in a public cloud have suppressed the exploration of this option. In our paper, we meticulously reviewed the drawbacks in the current adopted solutions for security and privacy of big data within mobile devices. As the utilization of mobile platforms is increasingly generating large data, the current traditional methods of cryptography will not be able to efficiently ensure the security and privacy of this big data. Therefore, this paper will propose the utilization of Federated Identity Management that is Openstack cloud-based as an effective solution that can ensure the privacy and security of big data within mobile device ecosystem.
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Anonos PR Newswire Press Release 07-09-15
1.
1
Anonos Granted U.S. Patents For Cybersecurity Innovations
That Enhance Both Data Privacy And Value
Dynamic De-Identification and Anonymity eliminates, for the first time, tradeoffs between protecting
individuals’ anonymity and maximizing the value of underlying data
Washington, DC – July 9, 2015 – Anonos, Inc. (www.anonos.com), the inventor of technologies
that unlock the true value of data without compromising privacy, announced today that it has been
issued U.S. Patents for its pioneering solutions to architecturally enforce controlled conditions
capable of satisfying even the most stringent United States and European Union data privacy
regulations.
Anonos CEO, Gary LaFever, commented, “The biggest data security challenge confronting global
enterprises in the medical, pharmaceutical, finance, and consumer markets is protecting individual
privacy without sacrificing the value of that data. Stringent United States and European Union
privacy regulations have forced an unacceptable but, until now, necessary trade-off between either
more privacy and less value or more value with insufficient privacy. Anonos’ patented and patent-
pending technologies solve this problem for the first time, unlocking the value of data while
substantially increasing privacy and security by reducing re-identification risk to near-zero.”
Anonos technology and intellectual property works by producing de-identified, but fully usable, data
with no greater likelihood of re-identification than that of highly encrypted data. Yet, while Anonos
is fully compatible with all methods of encryption, it neither relies upon nor requires encryption
itself. Rather, Anonos architecturally enforces desired levels of data privacy, security, and value,
while enabling authorized, trusted third parties to enforce policies at a granular data element level
using a much wider range of quantifiable policy controls than previously possible.
Anonos solutions thus unlock the true value of data, transforming it into business intelligence by
replacing old-style static access controls with technologically enforced dynamic permissions
applied per-element and per-use instead of across entire records or applications. This dramatically
reduces the value of data to attackers, while enabling compliance-driven access controls and
protecting personal information from unauthorized and inappropriate use.
Anonos Dynamic De-Identification and Anonymity / Just-In-Time-Identity (JITI) technologies and
intellectual property:
1. Enforce privacy policies: Dynamic and concurrent architecturally enforced policies enable
access control per data element and table instance, with unlimited instances available
simultaneously on demand.
2. Enhance security: Source data is intentionally worthless to unauthorized parties and freely
portable when decoupled from the JITI enforcement ecosystem, even in cases where super
users have broad visibility due to revocation of ephemeral key credentials.
2.
2
3. Enable privacy / security respectful innovation: Data utility is maximized as a matter of
policy, compliance, commercial, and societal objectives, without hindrance by restrictive
and inflexible security controls.
Potential Use Cases / Applications of Anonos Technology and Intellectual Property
Data Breach (‘Hack’) Damage Reduction: Organizations like Anthem*, Target*, Home Depot* and
even the U.S. Office of Personnel Management (OPM) suffer when their facilities are breached (as
do their millions of subscribers / customers / citizens whose identities are “hacked”) and data is
kept in unencrypted form to enable use of the data. As a result, attackers can gain unauthorized
access to personal data in “cleartext” form – i.e., unencrypted information that is “in the clear” and
understandable. In contrast to standard encryption, which is generally fully “on” or "off," or
traditional data masking techniques which do not protect data at the database level, Anonos Just-
In-Time-Identity (JITI) technology and intellectual property could help protect against data loss from
external breaches without losing use of data for authorized purposes within the organization. With
JITI, an attacker may gain access to data but would not gain access to JITI keys (kept securely in
separate virtual or physical locations) necessary to reveal personal information.
Protection of Credit Card User Identities: The January 2015 Science* journal (see
http://www.sciencemag.org/content/347/6221/536.abstract) includes a three month study of credit
card records for 1.1 million people that shows four spatiotemporal points are enough to uniquely
re-identify 90% of credit card customers. Anonos Dynamic De-Identifiers (DDIDs) could de-identify
credit card customers for each transaction – providing a Just-In-Time-Identity (JITI) for each
transaction. As a result, customers could not be re-identified by means of correlating static
anonymous identifiers. The Anonos approach makes limiting the ability to single out, link or infer a
data subject a policy choice instead of a statistical risk. See http://www.anonos.com/unicity for an
interactive version of this example.
Mobile OS tools: The trend between the two major mobile operating systems, iOS* and Android*, is
to encrypt personal data both on the device and in the cloud environments of the platform
operators. Application developers, however, are generally free to bypass these controls, either by
using their own libraries for interaction with data-driven applications, or by using proxies and VPNs
to conceal their information queries. A privacy-friendly mobile OS could be built whereby no data
interactions were permitted unless they were enabled via Anonos Just-In-Time-Identity (JITI) keys.
The platform operators would therefore be able to define quantifiable and enforceable conditions
under which lawful intercept; search and seizure would be permissible, without the present risk of
leakage and casual browsing of personal data by unauthorized users. Data subjects could
therefore choose whether or not to share personal data not based on vague promises and murky
assurances, but instead based on concrete evaluations of the governance policies surrounding
lawful intercept. Control could therefore be returned to the data subject, and informed choices and
consent could both be possible and revocable at any time and for usage of personal data within the
mobile ecosystem. At the same time, technology companies and platform operators could have a
positive, constructive conversation with regulators about conditions under which authorized
disclosure would be permitted, and cascade those back down in plain, simple language to the end
users whose data would be affected.
3.
3
About Anonos
Anonos solves the problem of delivering data privacy and security while empowering users to
leverage the full power of their data. For companies, Anonos technology and intellectual property
can transform information at the data element level to deliver security while preserving the value of
underlying data for deep analysis. For individuals, Anonos tools can provide controls for data
subjects to share information in a controlled manner that allows them to receive personalized
information, services and offerings, while protecting against misuse of their data. Anonos’ patented
and patent-pending technologies and intellectual property obscure and anonymize information at
the data element level while preserving the full value of all the underlying data (see
http://www.anonos.com/data_scientist_privacy_analysis).
Anonos Founders Gary LaFever and Ted Myerson helped revolutionize data risk management
protection for worldwide financial markets with their prior company, FTEN. In 2010, NASDAQ
acquired FTEN, where its solutions today form an integral part of real-time data risk management
technology around the globe for financial markets.
Anonos was granted U.S. Patent Nos. 9,087,215 (Application No. 14/529,960, see
http://www.anonos.com/us_patent_application_14529960) and 9,087,216 (Application No.
14/530,339, see http://www.anonos.com/us_patent_application_14530339) for Anonos Dynamic
De-Identification and Anonymity. Anonos Dynamic De-Identification and Anonymity facilitates
enhancements to data privacy, security and value for electronic commerce, credit cards, connected
cars, the Internet of Things (IoT), digital healthcare, pharmaceuticals, medical research,
personalized medicine and other industries by enabling the complete use of data without revealing,
intentionally or unintentionally, the identities of underlying data owners.
To learn more, visit www.anonos.com.
###
Press Inquiries:
+1-212-658-1132
press@anonos.com
* Anonos, Just-In-Time-Identity, JITI, De-Identifiers, and DDIDs are trademarks of Anonos Inc.
protected under U.S. and international trademark laws and treaties. Other marks appearing in this
release are the property of their respective owners. Anonos makes no claim of relationship to, or
affiliation with, any owners of marks not owned by Anonos.