Comment: The Necessary Evolution Of State Data Breach Notification Laws: Keeping Pace With New Cyber Threats, Quantum Decryption, And The Rapid Expansion Of Technology,
2022
Woods Rogers PLC
Comment: The Necessary Evolution Of State Data Breach Notification Laws: Keeping Pace With New Cyber Threats, Quantum Decryption, And The Rapid Expansion Of Technology, Beth Burgin Waller, Elaine Mccafferty
Washington and Lee Law Review
The legal framework that was built almost two decades ago now struggles to keep pace with the rapid expansion of technology, including quantum computing and artificial intelligence, and an ever-evolving cyber threat landscape. In 2002, California passed the first data breach notification law, with all fifty states following suit to require notice of unauthorized access to and acquisition of an individual’s personal information.1 These data breach notification laws, originally designed to capture one-off unauthorized views of data in a computerized database, were not built to address PowerShell scripts by cyber terrorists run across thousands of servers, leaving automated accessed data …
A Lightweight Reliably Quantified Deepfake Detection Approach,
2022
The University of Hong Kong, Department of Computer Science
A Lightweight Reliably Quantified Deepfake Detection Approach, Tianyi Wang, Kam Pui Chow
Annual ADFSL Conference on Digital Forensics, Security and Law
Deepfake has brought huge threats to society such that everyone can become a potential victim. Current Deepfake detection approaches have unsatisfactory performance in either accuracy or efficiency. Meanwhile, most models are only evaluated on different benchmark test datasets with different accuracies, which could not imitate the real-life Deepfake unknown population. As Deepfake cases have already been raised and brought challenges at the court, it is disappointed that no existing work has studied the model reliability and attempted to make the detection model act as the evidence at the court. We propose a lightweight Deepfake detection deep learning approach using the …
A Proportionality-Based Framework For Government Regulation Of Digital Tracing Apps In Times Of Emergency,
2022
DePaul College of Law
A Proportionality-Based Framework For Government Regulation Of Digital Tracing Apps In Times Of Emergency, Sharon Bassan
Dickinson Law Review (2017-Present)
Times of emergency present an inherent conflict between the public interest and the preservation of individual rights. Such times require granting emergency powers to the government on behalf of the public interest and relaxing safeguards against government actions that infringe rights. The lack of theoretical framework to assess governmental decisions in times of emergency leads to a polarized and politicized discourse about potential policies, and often, to public distrust and lack of compliance.
Such a discourse was evident regarding Digital Tracing Apps (“DTAs”), which are apps installed on cellular phones to alert users that they were exposed to people who …
Bringing The Ada Out Of The Dark Ages: Social Media Websites Should Be Required To Meet The Accessibility Requirements Of The Americans With Disabilities Act,
2022
Florida A&M University College of Law
Bringing The Ada Out Of The Dark Ages: Social Media Websites Should Be Required To Meet The Accessibility Requirements Of The Americans With Disabilities Act, Olivia Garcia
University of San Francisco Law Review
No abstract provided.
The Ai-Copyright Challenge: Tech-Neutrality, Authorship, And The Public Interest,
2022
Osgoode Hall Law School of York University
The Ai-Copyright Challenge: Tech-Neutrality, Authorship, And The Public Interest, Carys Craig
All Papers
Many of copyright’s core concepts—from authorship and ownership to infringement and fair use—are being challenged by the rapid rise of generative AI. Whether in service of creativity or capital, however, copyright law is perfectly capable of absorbing this latest innovation. More interesting than the doctrinal debates that AI provokes, then, is the opportunity it presents to revisit the purposes of the copyright system in the age of AI. After introducing the AI-copyright challenge in Part 1, Part 2 considers the guiding principles and normative objectives that underlie—and so ought to inform—copyright law and its response to AI technologies. It proposes …
“I Bet You Don’T Get What We Get”: An Intersectional Analysis Of Technology-Facilitated Violence Experienced By Racialized Women Anti- Violence Online Activists In Canada,
2022
Carleton University
“I Bet You Don’T Get What We Get”: An Intersectional Analysis Of Technology-Facilitated Violence Experienced By Racialized Women Anti- Violence Online Activists In Canada, Nasreen Rajani
Canadian Journal of Law and Technology
Despite growing attention to violence that women face in online settings, a relatively small proportion of academic work centres on the experiences and perspectives of racialized women in Canada. Informed by an intersectional framework, I draw on semi-structured interviews with nine women across Canada, all of whom are involved in anti-violence online activism, about their experiences of technology-facilitated violence (TFV). Their experiences revealed less prominent narratives, including instances of TFV beyond instances of intimate partner violence (IPV) and beyond sources of anonymous trolling by supposed white men, such as violence perpetrated by peers, white women, and racialized men. In this …
Intimate Images And Authors’ Rights: Non- Consensual Disclosure And The Copyright Disconnect,
2022
University of Ottawa, Faculty of Law
Intimate Images And Authors’ Rights: Non- Consensual Disclosure And The Copyright Disconnect, Meghan Sali
Canadian Journal of Law and Technology
This article responds to a brand of legal realpolitik that says using property law to respond to the non-consensual distribution of intimate images (NCDII) is appropriate and even necessary, because its remedial frameworks are well developed and provide the relief that is often most sought after by targets of an assault: the immediate removal of photos from online platforms. While some targets are not considered the ‘‘authors’’ of their intimate images, most of the images that are the subject of NCDII are selfies, taken by the target themselves. In these cases, that person rightfully owns the copyright in those images …
On The Internet, Nobody Knows You Are A Dog: Contested Authorship Of Digital Evidence In Cases Of Gender-Based Violence,
2022
Dalhousie University Schulich School of Law
On The Internet, Nobody Knows You Are A Dog: Contested Authorship Of Digital Evidence In Cases Of Gender-Based Violence, Suzie Dunn, Moira Aikenhead
Canadian Journal of Law and Technology
We examine various aspects of digital evidence at GBV trials, drawing on relevant Canadian criminal case law. First, we describe some of the unique challenges related to electronic documents generally with respect to determining authorship. Second, we review some of the historical and ongoing practices within the criminal justice system that rely on harmful gendered myths about GBV and note the potential for these myths to emerge in relation to digital evidence. Third, we discuss the duty of investigating police officers to gather the necessary available digital evidence to demonstrate authorship and note potential gaps in current investigatory practices that …
Responding To Deficiencies In The Architecture Of Privacy: Co-Regulation As The Path Forward For Data Protection On Social Networking Sites,
2022
New York University School of Law
Responding To Deficiencies In The Architecture Of Privacy: Co-Regulation As The Path Forward For Data Protection On Social Networking Sites, Laurent Cre ́Peau
Canadian Journal of Law and Technology
Social Networking Sites like Facebook, Twitter and the like are a ubiquitous part of contemporary culture. Yet, as exemplified on numerous occasions, most recently in the Cambridge Analytica scandal that shook Facebook in 2018, these sites pose major concerns for personal data protection. Whereas self-regulation has characterized the general regulatory mindset since the early days of the Internet, it is no longer viable given the threat social media poses to user privacy. This article notes the deficiencies of self-regulatory models of privacy and contends jurisdictions like Canada should ensure they have strong data protection regulations to adequately protect the public. …
Artificial Intelligence In Canadian Healthcare: Will The Law Protect Us From Algorithmic Bias Resulting In Discrimination?,
2022
University of Ottawa, Faculty of Law
Artificial Intelligence In Canadian Healthcare: Will The Law Protect Us From Algorithmic Bias Resulting In Discrimination?, Bradley Henderson, Colleen M. Flood, Teresa Scassa
Canadian Journal of Law and Technology
In this article, we canvas why AI may perpetuate or exacerbate extant discrimination through a review of the training, development, and implementation of healthcare-related AI applications and set out policy options to militate against such discrimination. The article is divided into eight short parts including this introduction. Part II focuses on explaining AI, some of its basic functions and processes, and its relevance to healthcare. In Part III, we define and explain the difference and relationship between algorithmic bias and data bias, both of which can result in discrimination in healthcare settings, and provide some prominent examples of healthcare-related AI …
Delineating The Legal Framework For Data Protection: A Fundamental Rights Approach Or Data Propertization?,
2022
Université dé Montreal, Faculty of Law
Delineating The Legal Framework For Data Protection: A Fundamental Rights Approach Or Data Propertization?, Efe Lawrence Ogbeide
Canadian Journal of Law and Technology
The Charter of Fundamental Rights of the European Union, like other key legal instruments around the globe, grants citizens the right to privacy in Article 7. The Charter, however, further provides for the right to data protection in Article 8. Simply put, the implication of Article 8 of the Charter is that the right to data protection is a fundamental right. The central question in this article is whether data protection indeed qualifies to be categorized as a fundamental right. If not, what other approach(es) to data protection may be implemented?
From Nyan Cat To Nfts: Determining How Canada’S Cultural Property Export And Import Act Applies To Digital Works,
2022
Hall Webber LLP
From Nyan Cat To Nfts: Determining How Canada’S Cultural Property Export And Import Act Applies To Digital Works, Mitchel Fleming
Canadian Journal of Law and Technology
One of Canada’s principal pieces of legislation enacted to protect its cultural patrimony is not well equipped to deal with the rise of digital content creation. Digital works, particularly NFTs, pose a unique challenge to the established regime. This paper seeks to understand how these artistic developments fit within the current legislative framework and whether legislative action is needed to bring these revolutionary mediums within the scope of the Cultural Property Export and Import Act. Ultimately, the author concludes that while digital works may be captured by the Act under specific circumstances, the protectionist policies of the past are …
Officially Obsolete? A Critical Examination Of The Canadian Official Marks Regime And Its Waning Relevancy In Trademark Law,
2022
Dalhousie University, Schulich School of Law
Officially Obsolete? A Critical Examination Of The Canadian Official Marks Regime And Its Waning Relevancy In Trademark Law, Maddison Tebbutt
Canadian Journal of Law and Technology
When the Trademark Act (‘‘TMA”) came about in 1985, a unique aspect of Canadian trademark law was created: the official marks regime under section 9(1)(n). The official marks regime is available to public authorities and universities as a means of sidestepping the lengthy and expensive process of trademark registration and providing special protection for official marks. Once public authorities and universities obtain an official mark through this system, they are entitled to an expansive monopoly that allows them to use their mark for commercial use, while simultaneously keeping the official mark out of the public domain. Moreover, while …
A Low-Cost Machine Learning Based Network Intrusion Detection System With Data Privacy Preservation,
2022
School of Science, Edith Cowan University
A Low-Cost Machine Learning Based Network Intrusion Detection System With Data Privacy Preservation, Jyoti Fakirah, Lauhim Mahfuz Zishan, Roshni Mooruth, Michael L. Johnstone, Wencheng Yang
Annual ADFSL Conference on Digital Forensics, Security and Law
Network intrusion is a well-studied area of cyber security. Current machine learning-based network intrusion detection systems (NIDSs) monitor network data and the patterns within those data but at the cost of presenting significant issues in terms of privacy violations which may threaten end-user privacy. Therefore, to mitigate risk and preserve a balance between security and privacy, it is imperative to protect user privacy with respect to intrusion data. Moreover, cost is a driver of a machine learning-based NIDS because such systems are increasingly being deployed on resource-limited edge devices. To solve these issues, in this paper we propose a NIDS …
Human-Controlled Fuzzing With Afl,
2022
Bachelor of Information Security, MEPhI; Moscow, Russia
Human-Controlled Fuzzing With Afl, Maxim Grishin, Igor Korkin, Phd
Annual ADFSL Conference on Digital Forensics, Security and Law
Fuzzing techniques are applied to reveal different types of bugs and vulnerabilities. American Fuzzy Lop (AFL) is a free most popular software fuzzer used by many other fuzzing frameworks. AFL supports autonomous mode of operation that uses the previous step output into the next step, as a result fuzzer spends a lot of time analyzing minor code sections. By making fuzzing process more focused and human controlled security expert can save time and find more bugs in less time. We designed a new module that can fuzz only the specified functions. As a result, the chosen ones will be inspected …
The Amorphous Nature Of Hackers: An Exploratory Study,
2022
University of New Haven
The Amorphous Nature Of Hackers: An Exploratory Study, Kento Yasuhara, Daniel Walnycky, Ibrahim Baggili, Ahmed Alhishwan
Annual ADFSL Conference on Digital Forensics, Security and Law
In this work, we aim to better understand outsider perspectives of the hacker community through a series of situation based survey questions. By doing this, we hope to gain insight into the overall reputation of hackers from participants in a wide range of technical and non-technical backgrounds. This is important to digital forensics since convicted hackers will be tried by people, each with their own perception of who hackers are. Do cyber crimes and national security issues negatively affect people’s perceptions of hackers? Does hacktivism and information warfare positively affect people’s perception of hackers? Do individual personality factors affect one’s …
Platforms, Encryption, And The Cfaa: The Case Of Whatsapp V Nso Group,
2022
Dalhousie University Schulich School of Law
Platforms, Encryption, And The Cfaa: The Case Of Whatsapp V Nso Group, Jonathon Penney, Bruce Schneier
Articles, Book Chapters, & Popular Press
End-to-end encryption technology has gone mainstream. But this wider use has led hackers, cybercriminals, foreign governments, and other threat actors to employ creative and novel attacks to compromise or workaround these protections, raising important questions as to how the Computer Fraud and Abuse Act (CFAA), the primary federal anti-hacking statute, is best applied to these new encryption implementations. Now, after the Supreme Court recently narrowed the CFAA’s scope in Van Buren and suggested it favors a code-based approach to liability under the statute, understanding how best to theorize sophisticated code-based access barriers like end-to-end encryption, and their circumvention, is now …
A Compulsory Solution To The Machine Problem,
2022
J.D. Cand.-Vanderbilt Law School
A Compulsory Solution To The Machine Problem, Cole G. Merritt
Vanderbilt Law School Faculty Publications
Artificial Intelligence (AI) is already disrupting and will likely continue to disrupt many industries. Despite the role AI already plays, AI systems are becoming increasingly powerful. Ultimately, these systems may become a powerful tool that can lead to the discovery of important inventions or significantly reduce the time required to discover these inventions. Even now, AI systems are independently inventing. However, the resulting AI-generated inventions are unable to receive patent protection under current US patent law. This unpatentability may lead to inefficient results and ineffectively serves the goals of patent law.
To embrace the development and power of AI, Congress …
The New Bailments,
2022
Washington University in St. Louis School of Law
The New Bailments, Danielle D'Onfro
Scholarship@WashULaw
The rise of cloud computing has dramatically changed how consumers and firms store their belongings. Property that owners once managed directly now exists primarily on infrastructure maintained by intermediaries. Consumers entrust their photos to Apple instead of scrapbooks; businesses put their documents on Amazon’s servers instead of in file cabinets; seemingly everything runs in the cloud. Were these belongings tangible, the relationship between owner and intermediary would be governed by the common-law doctrine of bailment. Bailments are mandatory relationships formed when one party entrusts their property to another. Within this relationship, the bailees owe the bailors a duty of care …
The Rise And Fall Of Cryptocurrency: The Three Paths Forward,
2022
Washington University in St. Louis School of Law
The Rise And Fall Of Cryptocurrency: The Three Paths Forward, Joel Seligman
Scholarship@WashULaw
In a crash reminiscent of the 1929-1933 Stock Market crash in which prices on the New York Stock Exchange fell 83 percent between September 1929 and July 1932 or the 2007-2009 Financial Debacle in which the Dow Jones Industrial Average declined 54 percent between October 9, 2007 and March 9, 2009, crypto market capitalization fell 61 percent between November 2021 and May 2022, collapsing from an aggregate value of $2.9 trillion to $1.24 trillion. Bitcoin, the leading cryptocurrency which in late 2021 traded near $68,000 in November 2021 traded as low as $25,402 on May 10, 2022 (a decline of …
