Exploring Deviant Hacker Networks (Dhm) On Social Media Platforms,
2016
University of Arkansas, Little Rock
Exploring Deviant Hacker Networks (Dhm) On Social Media Platforms, Samer Al-Khateeb, Kevin J. Conlan, Nitin Agarwal, Ibrahim Baggili, Frank Breitinger
Journal of Digital Forensics, Security and Law
Online Social Networks (OSNs) have grown exponentially over the past decade. The initial use of social media for benign purposes (e.g., to socialize with friends, browse pictures and photographs, and communicate with family members overseas) has now transitioned to include malicious activities (e.g., cybercrime, cyberterrorism, and cyberwarfare). These nefarious uses of OSNs poses a significant threat to society, and thus requires research attention. In this exploratory work, we study activities of one deviant groups: hacker groups on social media, which we term Deviant Hacker Networks (DHN). We investigated the connection between different DHNs on Twitter: how they are connected, identified …
Log Analysis Using Temporal Logic And Reconstruction Approach: Web Server Case,
2016
Security Department Gumushane
Log Analysis Using Temporal Logic And Reconstruction Approach: Web Server Case, Murat Gunestas, Zeki Bilgin
Journal of Digital Forensics, Security and Law
We present a post-mortem log analysis method based on Temporal Logic (TL), Event Processing Language (EPL), and reconstruction approach. After showing that the proposed method could be adapted to any misuse event or attack, we specifically investigate the case of web server misuses. To this end, we examine 5 different misuses on Wordpress web servers, and generate corresponding log files of these attacks for forensic analysis. Then we establish attack patterns and formalize them by means of a special case of temporal logic, i.e. many sorted first order metric temporal logic (MSFOMTL). Later on, we implement these attack patterns in …
Public Participation In Risk Regulation: The Flaws Of Formality,
2016
SJ Quinney College of Law, University of Utah
Public Participation In Risk Regulation: The Flaws Of Formality, Emily Hammond
Utah Law Review
Dread risks draw significant public attention in both the administrative process and the courts. Yet there are a number of dysfunctions at the intersection of procedures, participation, and agency decision-making regarding such risks. This Article elaborates the participatory dysfunctions for dread risk regulation, considering formal APA procedures as well as casting complexity as a variety of formality. Inspired by recent executive actions for improving participation and incorporating social science insights into the regulatory process, this Article sets a research agenda that spans the fields of risk perception, procedural justice, and administrative law.
The Notion And Practice Of Reputation And Professional Identity In Social Networking: From K-12 Through Law School,
2016
Barry University
The Notion And Practice Of Reputation And Professional Identity In Social Networking: From K-12 Through Law School, Roberta Bobbie Studwell
Faculty Scholarship
No abstract provided.
All Blogs Go To Heaven: Preserving Valuable Digital Assets Without The Uniform Fiduciary Access To Digital Assets Act's Removal Of Third Party Privacy Protections,
2016
University of Georgia School of Law
All Blogs Go To Heaven: Preserving Valuable Digital Assets Without The Uniform Fiduciary Access To Digital Assets Act's Removal Of Third Party Privacy Protections, Elizabeth D. Barwick
Georgia Law Review
In the age of the Internet, most of us live our lives largely online. As such, one would expect a concomitant increase in concern for privacy, but this is not necessarily the case. It seems that the instantaneous and anonymous nature of the Internet has given rise to thoughtless sharing that simply did not exist when it was necessary to put pen to paper. Understanding that a great deal of our day-to-day activities are now carried out over the Internet, it makes sense that our families and heirs would want or need access to our accounts in the event of …
Personal Property Servitudes On The Internet Of Things,
2016
Brooklyn Law School
Personal Property Servitudes On The Internet Of Things, Christina Mulligan
Georgia Law Review
Small appliances such as thermostats, watches, jewelry, and eyewear are now being made available with networking capability. These networked objects make up the growing Internet of Things-pieces of personal property that run software and connect to the global Internet. These products are typically governed by terms of service or end-user license agreements that create restrictions on how products can be used or transferred- restrictions which would be unenforceable if the inside of the product consisted of gears rather than processing chips. This Article explores the question of when use and transfer restrictions should be enforceable on networked appliances and other …
Apis And Copyright Protection: The Potential Impact On Software Compatibility In The Programming Industry, 16 J. Marshall Rev. Intell. Prop. L. 153 (2016),
2016
UIC School of Law
Apis And Copyright Protection: The Potential Impact On Software Compatibility In The Programming Industry, 16 J. Marshall Rev. Intell. Prop. L. 153 (2016), Daria Vasilescu-Palermo
UIC Review of Intellectual Property Law
In Oracle v. Google, the Federal Circuit set precedent when it decided to grant copyright protection to APIs. This comment examines the potential impact the computer programming industry will face now that APIs are deemed copyrightable. This comment also discusses Google s success in using fair use as an affirmative defense in order to use copyrightable APIs and what that means for the rest of the computer programming industry. Due to the fast-paced and ever-changing world of technology, this comment also proposes that the abstract-filtration-comparison test is the appropriate test to be used in determining API copyrightability if the issue …
Foreword: The Food Law Era,
2016
Southern Methodist University, Dedman School of Law
Foreword: The Food Law Era, Nathan Cortez
SMU Science and Technology Law Review
No abstract provided.
A Comprehensive Empirical Study Of Data Privacy, Trust, And Consumer Autonomy,
2016
University of Illinois at Urbana-Champaign
A Comprehensive Empirical Study Of Data Privacy, Trust, And Consumer Autonomy, Jay P. Kesan, Carol M. Hayes, Masooda N. Bashir
Indiana Law Journal
Modern society is driven by data. Data storage is practically unlimited with today’s technology, and analytical tools make it easy to find patterns and make predictions in a way that is very useful for private businesses and governments. These uses of digital data can raise considerable privacy issues that are of great concern to consumers. In this Article, we present and analyze the results of an extensive survey that we conducted to explore what people know, what people do, and what people want when it comes to privacy online.
Our survey is the first comprehensive examination of the intersection of …
Regulating Healthcare Robots: Maximizing Opportunities While Minimizing Risks,
2016
University of Richmond
Regulating Healthcare Robots: Maximizing Opportunities While Minimizing Risks, Drew Simshaw, Nicolas Terry, Kris Hauser, M.L. Cummings
Richmond Journal of Law & Technology
Some of the most dynamic areas of robotics research and development today are healthcare applications. Robot-assisted surgery, robotic nurses, in-home rehabilitation, and eldercare robots' are all demonstrating rapidly iterating innovation. Rising healthcare labor costs and an aging population will increase demand for these human surrogates and enhancements. However, like many emerging technologies, robots are difficult to place within existing regulatory frameworks. For example, the federal Food, Drug, and Cosmetic Act (FD&C Act) seeks to ensure that medical devices (few of which are consumer devices) are safe, the HIPAA Privacy and Security Rules apply to data collected by health care providers …
Addressing Employee Use Of Personal Clouds,
2016
University of Richmond
Addressing Employee Use Of Personal Clouds, Philip Favro
Richmond Journal of Law & Technology
Cloud computing is one of the most useful innovations in the digital age. While much of the attention on recent advances has focused on smartphones, tablet computers, and wearable technology, the cloud is perhaps unrivaled in its utility for organizations. From simplified data storage to innovative software platforms, enterprise-grade cloud solutions provide cost-effective alternatives to acquiring expensive computer hardware and software. Enterprise clouds also offer a collaborative work environment for a mobile and widespread work force, enabling businesses to maximize worker productivity.
Need For Informed Consent In The Age Of Ubiquitous Human Testing,
2016
Loyola Marymount University and Loyola Law School
Need For Informed Consent In The Age Of Ubiquitous Human Testing, Caitlyn Kuhs
Loyola of Los Angeles Law Review
No abstract provided.
Plugging The Rabbit Hole: The Supreme Court's Decision In Alice,
2016
Brigham Young University
Plugging The Rabbit Hole: The Supreme Court's Decision In Alice, Steven Swan
Utah Law Review
The two-step analysis in Mayo is insufficient to objectively analyze and make consistent determinations on patent eligibility. The effects of Alice are prime exhibits of this conclusion. Uncertainty and confusion in the realm of patents and software technology have risen to such a level that there is a telling impact on the economy and perhaps far greater devastation to the economy on the horizon. At the same time, the patent prosecution process has become increasingly expensive and difficult for both the client and drafting attorney provided the sheer number of Section rejections that are challenging to overcome. Consequently, this Note …
Low Budget Forensic Drive Imaging Using Arm Based Single Board Computers,
2016
Sam Houston State University
Low Budget Forensic Drive Imaging Using Arm Based Single Board Computers, Eric Olson, Narasimha Shashidhar
Journal of Digital Forensics, Security and Law
Traditional forensic analysis of hard disks and external media typically involves a powered down machine and “dead analysis” of these devices. Forensic acquisition of hard drives and external media has traditionally been by one of several means: standalone forensic duplicator; using a hardware write-blocker or dock attached to a laptop, computer, workstation, etc., forensic operating systems that live boot from a USB, CD/DVD or virtual machines with preinstalled operating systems. Standalone forensics acquisition and imaging devices generally cost thousands of dollars. In this paper, we propose the use of single board computers as forensic imaging devices. Single board computers can …
In-The-Wild Residual Data Research And Privacy,
2016
University of South Alabama
In-The-Wild Residual Data Research And Privacy, William B. Glisson, Tim Storer, Andrew Blyth, George Grispos, Matt Campbell
Journal of Digital Forensics, Security and Law
As the world becomes increasingly dependent on technology, researchers in both industry and academia endeavor to understand how technology is used, the impact it has on everyday life, the artifact life-cycle and overall integrations of digital information. In doing so, researchers are increasingly gathering 'real-world' or 'in-the-wild' residual data, obtained from a variety of sources, without the explicit consent of the original owners. This data gathering raises significant concerns regarding privacy, ethics and legislation, as well as practical considerations concerning investigator training, data storage, overall security and data disposal. This research surveys recent studies of residual data gathered in-the-wild and …
Bytewise Approximate Matching: The Good, The Bad, And The Unknown,
2016
University of New Haven
Bytewise Approximate Matching: The Good, The Bad, And The Unknown, Vikram S. Harichandran, Frank Breitinger, Ibrahim Baggili
Journal of Digital Forensics, Security and Law
Hash functions are established and well-known in digital forensics, where they are commonly used for proving integrity and file identification (i.e., hash all files on a seized device and compare the fingerprints against a reference database). However, with respect to the latter operation, an active adversary can easily overcome this approach because traditional hashes are designed to be sensitive to altering an input; output will significantly change if a single bit is flipped. Therefore, researchers developed approximate matching, which is a rather new, less prominent area but was conceived as a more robust counterpart to traditional hashing. Since the conception …
Security Analysis Of Mvhash-B Similarity Hashing,
2016
Indraprastha Institute of Information Technology Delhi
Security Analysis Of Mvhash-B Similarity Hashing, Donghoon Chang, Somitra Sanadhya, Monika Singh
Journal of Digital Forensics, Security and Law
In the era of big data, the volume of digital data is increasing rapidly, causing new challenges for investigators to examine the same in a reasonable amount of time. A major requirement of modern forensic investigation is the ability to perform automatic filtering of correlated data, and thereby reducing and focusing the manual effort of the investigator. Approximate matching is a technique to find “closeness” between two digital artifacts. mvHash-B is a well-known approximate matching scheme used for finding similarity between two digital objects and produces a ‘score of similarity’ on a scale of 0 to 100. However, no security …
An Automated Approach For Digital Forensic Analysis Of Heterogeneous Big Data,
2016
School of Computing, Electronics and Mathematics, Plymouth
An Automated Approach For Digital Forensic Analysis Of Heterogeneous Big Data, Hussam Mohammed, Nathan Clarke, Fudong Li
Journal of Digital Forensics, Security and Law
The major challenges with big data examination and analysis are volume, complex interdependence across content, and heterogeneity. The examination and analysis phases are considered essential to a digital forensics process. However, traditional techniques for the forensic investigation use one or more forensic tools to examine and analyse each resource. In addition, when multiple resources are included in one case, there is an inability to cross-correlate findings which often leads to inefficiencies in processing and identifying evidence. Furthermore, most current forensics tools cannot cope with large volumes of data. This paper develops a novel framework for digital forensic analysis of heterogeneous …
On Efficiency Of Distributed Password Recovery,
2016
Brno University of Technology
On Efficiency Of Distributed Password Recovery, Radek Hranický, Martin Holkovič, Petr Matoušek
Journal of Digital Forensics, Security and Law
One of the major challenges in digital forensics today is data encryption. Due to the leaked information about unlawful sniffing, many users decided to protect their data by encryption. In case of criminal activities, forensic experts are challenged how to decipher suspect's data that are subject to investigation. A common method how to overcome password-based protection is a brute force password recovery using GPU-accelerated hardware. This approach seems to be expensive. This paper presents an alternative approach using task distribution based on BOINC platform. The cost, time and energy efficiency of this approach is discussed and compared to the GPU-based …
Towards Syntactic Approximate Matching - A Pre-Processing Experiment,
2016
Korea University
Towards Syntactic Approximate Matching - A Pre-Processing Experiment, Doowon Jeong, Frank Breitinger, Hari Kang, Sangjin Lee
Journal of Digital Forensics, Security and Law
Over the past few years the popularity of approximate matching algorithms (a.k.a. fuzzy hashing) has increased. Especially within the area of bytewise approximate matching, several algorithms were published, tested and improved. It has been shown that these algorithms are powerful, however they are sometimes too precise for real world investigations. That is, even very small commonalities (e.g., in the header of a le) can cause a match. While this is a desired property, it may also lead to unwanted results. In this paper we show that by using simple pre-processing, we signicantly can in uence the outcome. Although our test …
