Cyber Security and Data Privacy - Key Considerations for Policymakers 01 January 2021
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Data Protection
Handbook on the Techniques of Judicial Interactions in the Application of the EU Charter DATA PROTECTION IN THE FRAMEWORK OF THE PROJECT ‘E-LEARNING NATIONAL ACTIVE CHARTER TRAINING (E-NACT)’ FUNDED BY THE EUROPEAN COMMISSION FUNDAMENTAL RIGHTS & CITIZENSHIP PROGRAMME Researcher responsible for the Handbook: Dr Mariavittoria Catanzariti 1 NATIONAL EXPERTS AND COLLABORATORS The e-NACT team would like to thank the following experts and collaborators who contributed to the selection of the national and European case law upon which this Handbook is built. Federica Casarosa Madalina Moraru Karolina Podstawa Joan Soares Mullor Sara Azevedo Afonso Brás Sergiu Popovici Rita de Brito Gião Hanek Diana Lavinia Botău Francesco Perrone Florentino Gregorio Ruiz Yamuza 2 Contents Part I - Data protection and privacy as EU fundamental rights ......................................... 8 Setting the scene ..................................................................................................................... 8 From the Directive 95/46/EC to the GDPR.......................................................................... 11 The European culture of data protection .............................................................................. 12 The Data Protection Reform of 2016: the GDPR and the Law Enforcement Directive ...... 13 Main principles of data processing ....................................................................................... 14 The basics: what’s personal data? .............................................................................................. -
Data Privacy: De-Identification Techniques
DEVELOPING AND CONNECTING ISSA CYBERSECURITY LEADERS GLOBALLY Data Privacy: De-Identification Techniques By Ulf Mattsson – ISSA member, New York Chapter This article discusses emerging data privacy techniques, standards, and examples of applications implementing different use cases of de-identification techniques. We will discuss different attack scenarios and practical balances between privacy requirements and operational requirements. Abstract The data privacy landscape is changing. There is a need for privacy models in the current landscape of the increas- ing numbers of privacy regulations and privacy breaches. Privacy methods use models and it is important to have a common language when defining privacy rules. This article will discuss practical recommendations to find the right practical balance between compli- ance, security, privacy, and operational requirements for each type of data and business use case. Figure 1 – Forrester’s global map of privacy rights and regulations [4] ensitive data can be exposed to internal users, partners, California Customer Privacy Act (CCPA) is a wake-up call, and attackers. Different data protection techniques can addressing identification of individuals via data inference provide a balance between protection and transparen- through a broader range of PII attributes. CCPA defines Scy to business processes. The requirements are different for personal information as information that identifies, relates systems that are operational, analytical, or test/development to, describes, is reasonably capable of being associated with, as illustrated by some practical examples in this article. or could reasonably be linked, directly or indirectly, with a We will discuss different aspects of various data privacy tech- particular consumer or household such as a real name, alias, niques, including data truthfulness, applicability to different postal address, and unique personal identifier [1]. -
Privacy and Cyber Security Emphasizing Privacy Protection in Cyber Security Activities
Privacy and Cyber Security Emphasizing privacy protection in cyber security activities December 2014 Table of Contents Abstract ................................................................................................................................................................... 1 Introduction ............................................................................................................................................................ 1 1. Cyber Security Challenges ................................................................................................................................. 2 2. Cyber Security Policy Developments ................................................................................................................. 5 3. Conclusion: Emphasizing privacy protection in cyber security activities .......................................................... 7 ________________________________________________________________________________________________________ 30 Victoria Street – 1st Floor, Gatineau, QC K1A 1H3 • Toll-free: 1-800-282-1376 • Fax: (819) 994-5424 • TDD (819) 994-6591 www.priv.gc.ca • Follow us on Twitter: @privacyprivee Abstract This research report examines the common interests and tensions between privacy and cyber security. It explores how challenges for cyber security are also challenges for privacy and data protection, considers how cyber security policy can affect privacy, and notes how cyberspace governance and security is a global issue. Finally, it sets out key policy -
From Security Monitoring to Cyber Risk Monitoring
Issue 19 | 2016 Complimentary article reprint From security monitoring to cyber risk monitoring Enabling business-aligned cybersecurity By Adnan Amjad, Mark Nicholson, Christopher Stevenson, and Andrew Douglas About Deloitte Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee (“DTTL”), its network of member firms, and their related entities. DTTL and each of its member firms are legally separate and independent entities. DTTL (also referred to as “Deloitte Global”) does not provide services to clients. Please see www.deloitte.com/about for a more detailed description of DTTL and its member firms. Deloitte provides audit, tax, consulting, and financial advisory services to public and private clients spanning multiple industries. With a globally connected network of member firms in more than 150 countries and territories, Deloitte brings world-class capabilities and high-quality service to clients, delivering the insights they need to address their most complex business challenges. Deloitte’s more than 200,000 professionals are committed to becoming the standard of excellence. This communication contains general information only, and none of Deloitte Touche Tohmatsu Limited, its member firms, or their related entities (collectively, the “Deloitte Network”) is, by means of this communication, rendering professional advice or services. No entity in the Deloitte net- work shall be responsible for any loss whatsoever sustained by any person who relies on this communication. © 2016. For information, contact Deloitte Touche Tohmatsu Limited. 122 www.deloittereview.com From security monitoring to cyber risk monitoring 123 CYBER RISK MANAGEMENT From security monitoring to cyber risk monitoring Enabling business-aligned cybersecurity By Adnan Amjad, Mark Nicholson, Christopher Stevenson, and Andrew Douglas Illustration by Lucy Rose Why didn’t we detect it? That’s the all-too-common question when a major cyber incident is discovered—or, too often, announced. -
Digital Privacy Policy
Digital Privacy Policy This Internet Privacy Policy explains how we may collect information from you when you visit our web site or when you use our online financial services. We recognize the importance our customers place on the privacy and security of their personal information. Our goal is to protect your personal information in every way that we interact with you, whether it's on the telephone, in our lobby, at one of our ATMs, or on the Internet. We think it is important for you to be informed of the policies, procedures, and security measures that we have in place to safeguard your personal and confidential information. With that in mind, we have developed this Internet Privacy Policy to help you to understand the steps we take to protect your personal information when you utilize our online financial services. Below are several definitions of terms used within this policy: Customer Information - Customer Information refers to personally identifiable information about a consumer, customer or former customer of this Institution. Internet Protocol (IP) Address - an IP address is a unique address that devices use in order to identify and communicate with each other on a computer network. An IP address can be thought of as a street address or a phone number for a computer or other network device on the Internet. Just as each street address and phone number uniquely identifies a building or telephone, an IP address can uniquely identify a specific computer or other network device on a network. We may use IP addresses to monitor login activity and for identification purposes when necessary for security investigations. -
Security and Privacy Issues of Big Data
Security and Privacy Issues of Big Data José Moura1,2, Carlos Serrão1 1 ISCTE-IUL, Instituto Universitário de Lisboa, Portugal 2 IT, Instituto de Telecomunicações, Lisboa, Portugal {jose.moura, carlos.serrao}@iscte.pt ABSTRACT This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues. Keywords: Big Data, Security, Privacy, Data Ownership, Cloud, Social Applications, Intrusion Detection, Intrusion Prevention. INTRODUCTION The Big Data is an emerging area applied to manage datasets whose size is beyond the ability of commonly used software tools to capture, manage, and timely analyze that amount of data. The quantity of data to be analyzed is expected to double every two years (IDC, 2012). -
Is the Market for Digital Privacy a Failure?1
Is the Market for Digital Privacy a Failure?1 Caleb S. Fuller2 Abstract Why do many digital firms rely on collecting consumer information–a practice that survey evidence shows is widely disliked? Why don’t they, instead, charge a fee that would protect privacy? This paper empirically adjudicates between two competing hypotheses. The first holds that firms pursue this strategy because consumers are ill-informed and thus susceptible to exploitation. The second holds that this strategy reasonably approximates consumer preferences. By means of survey, I test a.) the extent of information asymmetry in digital markets, b.) consumers’ valuation of privacy, and c.) whether government failure contributes to consumer mistrust of information collection. My results indicate that a.) the extent of information asymmetry is minimal, b.) there is significant divergence between “notional” and “real” demand for privacy and c.) that government contributes to consumer distrust of information collection by private firms. Significantly, almost 82% of Google users are unwilling to pay anything for increased digital privacy. JEL-Classification: D23, K29, Z18 Keywords: privacy paradox, digital privacy, survey, market failure 1 I wish to thank Alessandro Acquisti, Peter Leeson, Chris Coyne, Peter Boettke, David Lucas, Noah Gould, and Nicholas Freiling for helpful suggestions. All errors are my own. I am also indebted to the Mercatus Center for providing funding for the survey conducted by Haven Insights LLC. 2 Assistant professor of economics, Grove City College, Email: 1 INTRODUCTION Google’s motto is “Don’t Be Evil.” But the fact that the company surreptitiously collects the information of over one billion individuals annually leads some to question whether the firm’s business model runs afoul of its dictum (Hoofnagle 2009). -
Data Privacy and Security
Policy Brief August 2016 Policy analysis from SREB’s 10 Issues in Educational Technology Data Privacy and Security Educational technology systems generate enormous amounts of data, which allow schools and colleges to provide more personalized services to every student. Creating a culture of efficient data use for students is critically important, but equally impor- tant is securing the data collected from these systems. Data privacy and security cannot be a “behind the scenes” approach for education agencies; risk assessment and mitigating practices should be common knowledge and inherent in the culture of effective data use. Although data privacy and security go hand in hand, they are two different concepts. Data security involves the technical and physical requirements that protect against unauthorized entry into a data system and helps maintain the integrity of data. Data privacy is about data confidentiality and the rights of the individual whom the data involve, how the data are used and with whom data can legally be shared. Without clear policy, the concerns of the stakeholders cannot be fairly balanced in the best interests of students, their achievement, and effective and efficient educational decision-making. Data Value and Use Inside Educators have long relied on research and data to identify effective teaching Data Value and Use 1 and learning strategies. As innovative Privacy and Security Risks 2 instructional models have emerged, Legislative Actions 3 tailored instruction has the potential Data Governance 4 to improve and accelerate student Recommended Policies 4 learning, as well as focus on individual Transparency 5 needs and skills. This personalized Role-based Usage Permissions 5 learning approach is possible because Monitoring and Breach Notification 5 of technological advancements that Training 6 permit data to be gathered from various Technical Support 6 systems and analyzed. -
The Right to Privacy in the Digital Age
The Right to Privacy in the Digital Age April 9, 2018 Dr. Keith Goldstein, Dr. Ohad Shem Tov, and Mr. Dan Prazeres Presented on behalf of Pirate Parties International Headquarters, a UN ECOSOC Consultative Member, for the Report of the High Commissioner for Human Rights Our Dystopian Present Living in modern society, we are profiled. We accept the necessity to hand over intimate details about ourselves to proper authorities and presume they will keep this information secure- only to be used under the most egregious cases with legal justifications. Parents provide governments with information about their children to obtain necessary services, such as health care. We reciprocate the forfeiture of our intimate details by accepting the fine print on every form we sign- or button we press. In doing so, we enable second-hand trading of our personal information, exponentially increasing the likelihood that our data will be utilized for illegitimate purposes. Often without our awareness or consent, detection devices track our movements, our preferences, and any information they are capable of mining from our digital existence. This data is used to manipulate us, rob from us, and engage in prejudice against us- at times legally. We are stalked by algorithms that profile all of us. This is not a dystopian outlook on the future or paranoia. This is present day reality, whereby we live in a data-driven society with ubiquitous corruption that enables a small number of individuals to transgress a destitute mass of phone and internet media users. In this paper we present a few examples from around the world of both violations of privacy and accomplishments to protect privacy in online environments. -
Planning for Cyber Security in Schools: the Human Factor
PLANNING FOR CYBER SECURITY IN SCHOOLS: THE HUMAN FACTOR MICHAEL D. RICHARDSON Columbus State University, U.S.A. PAMELA A. LEMOINE Troy University, U.S.A. WALTER E. STEPHENS Houston County Schools, Georgia, U.S.A. ROBERT E. WALLER Columbus State University, U.S.A. ABSTRACT Cybersecurity has emerged as one of the most critical issues confronting schools in the 21st century. Computer security is an essential instrument for protecting children, but K-12 schools are considered one of the most attractive targets for data privacy crimes often due to the less-than- effective cybersecurity practices in schools. The human factor is the underlying reason why many attacks on school computers and systems are successful because the uneducated computer user is the weakest link targeted by cyber criminals using social engineering. Formal cyber security awareness is required to mitigate the exploitation of human vulnerabilities by computer hackers and attackers. INTRODUCTION Much of the world is now in cyber space and cyber security has become a massive issue with many facets of schools (Arlitsch & Edelman, 2014). Cybersecurity has brought about research, discussion, papers, tools for monitoring, tools for management, etc., with much of the focus from the schools’ side concerning the protection of their data and information (Seemma, Nandhini, & Sowmiya, 2018). As a result of increased dependence on the Internet, cybersecurity has emerged as one of the critical issues confronting schools in the 21st century (Gioe, Goodman, & Wanless, 2019). The reliance on a complex technology infrastructure has come with a price: by accepting the Internet so widely, schools have exposed themselves to a range of nefarious cyber activities by a spectrum of offenders looking for school data and information (Shen, Chen, & Su, 2017). -
Annual Privacy Report
U.S. DEPARTMENT OF JUSTICE ANNUAL PRIVACY REPORT THE CHIEF PRIVACY AND CIVIL LIBERTIES OFFICER AND THE OFFICE OF PRIVACY AND CIVIL LIBERTIES OCTOBER 1, 2016 – SEPTEMBER 30, 2020 1 (MULTI) ANNUAL PRIVACY REPORT MESSAGE FROM THE CHIEF PRIVACY AND CIVIL LIBERTIES OFFICER I am pleased to present the Department of Justice’s (Department or DOJ) Annual Privacy Report, describing the operations and activities of the Chief Privacy and Civil Liberties Officer (CPCLO) and the Office of Privacy and Civil Liberties (OPCL), in accordance with Section 1174 of the Violence Against Women and Department of Justice Reauthorization Act of 2005. This report covers the period from October 1, 2016, through September 30, 2020. The Department’s privacy program is supported by a team of dedicated privacy professionals who strive to build a culture and understanding of privacy within the complex and diverse mission work of the Department. The work of the Department’s privacy team is evident in the care, consideration, and dialogue about privacy that is incorporated in the daily operations of the Department. During this reporting period, there has been an evolving landscape of technological development and advancement in areas such as artificial intelligence, biometrics, complex data flows, and an increase in the number of cyber security events resulting in significant impacts to the privacy of individuals. Thus, the CPCLO and OPCL have developed new policies and guidance to assist the Department with navigating these areas, some of which include the following: -
Piracy Versus Privacy: an Analysis of Values Encoded in the Piratebrowser
International Journal of Communication 9(2015), 818–838 1932–8036/20150005 Piracy Versus Privacy: An Analysis of Values Encoded in the PirateBrowser BALÁZS BODÓ University of Amsterdam, Institute for Information Law The Netherlands The PirateBrowser is a Web browser that uses Tor privacy-enhancing technology to circumvent nationally implemented Internet filters blocking access to The Pirate Bay. This article analyzes the possible consequences of a mass influx of copyright pirates into the privacy domain. The article addresses the effects of the uptake of strong privacy technologies by pirates on copyright enforcement and on free speech and privacy technology domains. Also discussed are the norms and values reflected in the specific design choices taken by the developers of the PirateBrowser. Keywords: piracy, privacy, Tor, privacy-enhancing technologies, policy Introduction Tor (The Onion Router), “endorsed by Egyptian activists, WikiLeaks, NSA, GCHQ, Chelsea Manning, Snowden” (Dingledine & Appelbaum, 2013), is a volunteer network of computers that relays Web traffic through itself to provide anonymous, unobserved, and uncensored access to the Internet. It has about 4,000 relays and about 1,000 exit nodes. Tor users connect to the network, and their Web traffic is channeled through the internal relays to reach its final destination through one of the exit nodes. This arrangement makes the identification and surveillance of Tor users difficult. Anonymity is promised by the difficulty of tracing the Web traffic that appears on the exit node back to the individual who initiated the traffic, as long as there is a sufficient number of internal hops in between. Protection from surveillance is granted by the fact that each link in the communication chain is encrypted.