Social Media Platforms And Responsibility For Disinformation,
2022
University of North Georgia
Social Media Platforms And Responsibility For Disinformation, Matt T. Figlia, Brandon M. Henschen, Joseph T. Sims, John-David Rusk
KSU Proceedings on Cybersecurity Education, Research and Practice
Researchers are paying closer attention to the rise of disinformation on social media platforms and what responsibility, if any, the companies that control these platforms have for false information being spread on their websites. In this paper, we highlight the recent growth in concern regarding online disinformation, discuss other works regarding the use of social media as a tool for spreading disinformation, and discuss how coordinated disinformation campaigns on social media platforms are used to spread propaganda and lies about current political events. We also evaluate the reactions of social media platforms in combatting disinformation and the difficulty in policing …
Using Experts For Improving Project Cybersecurity Risk Scenarios,
2022
University of South Alabama
Using Experts For Improving Project Cybersecurity Risk Scenarios, Steven S. Presley, Jeffrey P. Landry, Jordan Shropshire, Philip Menard
KSU Proceedings on Cybersecurity Education, Research and Practice
This study implemented an expert panel to assess the content validity of hypothetical scenarios to be used in a survey of cybersecurity risk across project meta-phases. Six out of 10 experts solicited completed the expert panel exercise. Results indicate that although experts often disagreed with each other and on the expected mapping of scenario to project meta-phase, the experts generally found risk present in the scenarios and across all three project meta-phases, as hypothesized.
Authentication Based On Periocular Biometrics And Skin Tone,
2022
North Carolina Agricultural and Technical State University
Authentication Based On Periocular Biometrics And Skin Tone, Kennedy Marsh, Clifton Wallace, Jeffrey Hernandez, Rodney Dejournett, Xiaohong Yuan, Kaushik Roy
KSU Proceedings on Cybersecurity Education, Research and Practice
Face images with masks have a major effect on the identification and authentication of people with masks covering key facial features such as noses and mouths. In this paper, we propose to use periocular region and skin tone for authenticating users with masked faces. We first extract the periocular region of faces with masks, then detect the skin tone for each face. We then train models using machine learning algorithms Random Forest, XGBoost, and Decision Trees using skin tone information and perform classification on two datasets. Experiment results show these models had good performance.
Towards Assessing Organizational Cybersecurity Risks Via Remote Workers’ Cyberslacking And Their Computer Security Posture,
2022
Nova Southeastern University
Towards Assessing Organizational Cybersecurity Risks Via Remote Workers’ Cyberslacking And Their Computer Security Posture, Ariel Luna, Yair Levy, Gregory Simco, Wei Li
KSU Proceedings on Cybersecurity Education, Research and Practice
Cyberslacking is conducted by employees who are using their companies’ equipment and network for personal purposes instead of performing their work duties during work hours. Cyberslacking has a significant adverse effect on overall employee productivity, however, recently, due to COVID19 pandemic move to remote working also pose a cybersecurity risk to organizations networks and infrastructure. In this work-in-progress research study, we are developing, validating, and will empirically test taxonomy to assess an organization’s remote workers’ risk level of cybersecurity threats. This study includes a three-phased developmental approach in developing the Remote Worker Cyberslacking Security Risk Taxonomy. With feedback from cybersecurity …
Towards The Development And Assessment Of A Method For Educating Users Into Choosing Complex, Memorable Passphrases,
2022
Universidad Icesi
Towards The Development And Assessment Of A Method For Educating Users Into Choosing Complex, Memorable Passphrases, Juan M. Madrid, Yair Levy, Laurie Dringus, Ling Wang
KSU Proceedings on Cybersecurity Education, Research and Practice
The currently most used method for authentication is the password because it is simple to implement, and computer users are very familiarized with it. However, passwords are vulnerable to attacks that can be mitigated by increasing the complexity of the chosen password, particularly in terms of length. One possible approach to accomplish this is through the usage of passphrases, which can be easier to remember than a standard password, thus reducing the loss of work time and productivity related to forgotten passwords. To achieve the required balance between complexity and memorability, the concept of passphrase categories can be used, i.e. …
Nids In Airgapped Lans--Does It Matter?,
2022
Dakota State University
Nids In Airgapped Lans--Does It Matter?, Winston Messer
KSU Proceedings on Cybersecurity Education, Research and Practice
This paper presents an assessment of the methods and benefits of adding network intrusion detection systems (NIDS) to certain high-security airgapped isolated local area networks. The proposed network architecture was empirically tested via a series of simulated network attacks on a virtualized network. The results show an improvement of double the chances of an analyst receiving a specific, appropriately-severe alert when NIDS is implemented alongside host-based measures when compared to host-based measures alone. Further, the inclusion of NIDS increased the likelihood of the analyst receiving a high-severity alert in response to the simulated attack attempt by four times when compared …
What You See Is Not What You Know: Deepfake Image Manipulation,
2022
Kennesaw State University
What You See Is Not What You Know: Deepfake Image Manipulation, Cathryn Allen, Bryson Payne, Tamirat Abegaz, Chuck Robertson
KSU Proceedings on Cybersecurity Education, Research and Practice
Research indicates that deceitful videos tend to spread rapidly online and influence people’s opinions and ideas. Because of this, video misinformation via deepfake video manipulation poses a significant online threat. This study aims to discover what factors can influence viewers’ capability of distinguishing deepfake videos from genuine video footage. This work focuses on exploring deepfake videos’ potential use for deception and misinformation by exploring people’s ability to determine whether videos are deepfakes in a survey consisting of deepfake videos and original unedited videos. The participants viewed a set of four videos and were asked to judge whether the videos shown …
Editors' Preface,
2022
Kennesaw State University
Editors' Preface, Michael E. Whitman, Herbert J. Mattord, Hossain Shahriar
KSU Proceedings on Cybersecurity Education, Research and Practice
Since 2004, Kennesaw State University, Georgia, has hosted an academic conference. Over the years, the event has brought together hundreds of faculty and students from throughout the U.S., sharing research into pedagogical efforts and instructional innovations. Initially, the conference was named the Information Security Curriculum Development conference and served as KSU’s contribution to engage our colleagues in growing security education from its infancy. It was paired with KSU’s inaugural security education journal, the Information Security Education Journal. In 2016, the event was rebranded as the Conference on Cybersecurity Education, Research, and Practice to reflect both an expansion of topics suitable …
The Role Of It In Campus Sustainability Efforts: Model Sustainability In It Operations, Infrastructure, Cybersecurity, And Teaching And Learning,
2022
West Chester University of Pennsylvania
The Role Of It In Campus Sustainability Efforts: Model Sustainability In It Operations, Infrastructure, Cybersecurity, And Teaching And Learning, J. T. Singh, Kevin Partridge, Teresa Hudson, Pete Calvert
Sustainability Research & Practice Seminar Presentations
JT Singh (and colleagues), WCU Information Services and Technology - The Role of IT in Campus Sustainability Efforts
Applications Of Blockchain In Business Processes: A Comprehensive Review,
2022
Old Dominion University
Applications Of Blockchain In Business Processes: A Comprehensive Review, Wattana Viriyasitavat, Li Xu, Dusit Niyato, Zhuming Bi, Danupol Hoonsopon
Information Technology & Decision Sciences Faculty Publications
Blockchain (BC), as an emerging technology, is revolutionizing Business Process Management (BPM) in multiple ways. The main adoption is to serve as a trusted infrastructure to guarantee the trust of collaborations among multiple partners in trustless environments. Especially, BC enables trust of information by using Distributed Ledger Technology (DLT). With the power of smart contracts, BC enforces the obligations of counterparties that transact in a business process (BP) by programming the contracts as transactions. This paper aims to study the state-of-the-art of BC technologies by (1) exploring its applications in BPM with the focus on how BC provides the trust …
Towards Automated Safety Vetting Of Smart Contracts In Decentralized Applications,
2022
Singapore Management University
Towards Automated Safety Vetting Of Smart Contracts In Decentralized Applications, Yue Duan, Xin Zhao, Yu Pan, Shucheng Li, Minghao Li, Fengyuan Xu, Mu Zhang
Research Collection School Of Computing and Information Systems
We propose VetSC, a novel UI-driven, program analysis guided model checking technique that can automatically extract contract semantics in DApps so as to enable targeted safety vetting. To facilitate model checking, we extract business model graphs from contract code that capture its intrinsic business and safety logic. To automatically determine what safety specifications to check, we retrieve textual semantics from DApp user interfaces. To exclude untrusted UI text, we also validate the UI-logic consistency and detect any discrepancies. We have implemented VetSC and applied it to 34 real-world DApps. Experiments have demonstrated that VetSC can accurately interpret smart contract code, …
Vfirm: Verifiable Fine-Grained Encrypted Image Retrieval In Multi-Owner Multi-User Settings,
2022
Singapore Management University
Vfirm: Verifiable Fine-Grained Encrypted Image Retrieval In Multi-Owner Multi-User Settings, Qiuyun Tong, Yinbin Miao, Lei Chen, Jian Weng, Kim-Kwang Raymond Choo, Ximeng Liu, Robert H. Deng
Research Collection School Of Computing and Information Systems
To ensure the security of images outsourced to the malicious cloud without affecting searchability on such outsourced (typically encrypted) images, one could use privacy-preserving Content-Based Image Retrieval (CBIR) primitive. However, conventional privacy-preserving CBIR schemes based on Searchable Symmetric Encryption (SSE) are not capable of supporting efficient fine-grained access control and result verification simultaneously. Therefore, in this article, we propose a Verifiable Fine-grained encrypted Image Retrieval scheme in the Multi-owner multi-user settings (VFIRM). VFIRM first utilizes a novel polynomial-based access strategy to provide efficient fine-grained access control. Then, it employs the dual secure kk-nearest neighbor technique to distribute distinct keys to …
Optimizing Cybersecurity Budgets With Attacksimulation,
2022
Purdue University
Optimizing Cybersecurity Budgets With Attacksimulation, Alexander Master, George Hamilton, J. Eric Dietz
Computer Information Technology Faculty Publications
Modern organizations need effective ways to assess cybersecurity risk. Successful cyber attacks can result in data breaches, which may inflict significant loss of money, time, and public trust. Small businesses and non-profit organizations have limited resources to invest in cybersecurity controls and often do not have the in-house expertise to assess their risk. Cyber threat actors also vary in sophistication, motivation, and effectiveness. This paper builds on the previous work of Lerums et al., who presented an AnyLogic model for simulating aspects of a cyber attack and the efficacy of controls in a generic enterprise network. This paper argues that …
Vulcurator: A Vulnerability-Fixing Commit Detector,
2022
Singapore Management University
Vulcurator: A Vulnerability-Fixing Commit Detector, Truong Giang Nguyen, Cong Thanh Le, Hong Jin Kang, Xuan-Bach D. Le, David Lo
Research Collection School Of Computing and Information Systems
Open-source software (OSS) vulnerability management process is important nowadays, as the number of discovered OSS vulnerabilities is increasing over time. Monitoring vulnerability-fixing commits is a part of the standard process to prevent vulnerability exploitation. Manually detecting vulnerability-fixing commits is, however, time-consuming due to the possibly large number of commits to review. Recently, many techniques have been proposed to automatically detect vulnerability-fixing commits using machine learning. These solutions either: (1) did not use deep learning, or (2) use deep learning on only limited sources of information. This paper proposes VulCurator, a tool that leverages deep learning on richer sources of information, …
Understanding Deviance And Victimization In Cyber Space Among Diverse Populations,
2022
Bridgewater State University
Understanding Deviance And Victimization In Cyber Space Among Diverse Populations, Insun Park
International Journal of Cybersecurity Intelligence & Cybercrime
Recent years have witnessed a growing academic interest in deviance and victimization in the cyber space. The current issue of the International Journal of Cybersecurity Intelligence and Cybercrime features three empirical research articles on online behavior of traditionally under-researched populations and a review of much waited book on digital forensics and investigation. This paper was prepared to introduce these important scholarly works in the context of newly emerging scholarship that focuses on the experiences of diverse subgroups in cyberspace.
Aggressive Reality Docuseries And Cyberbullying: A Partial Test Of Glaser’S Differential Identification Theory,
2022
North Carolina Central University
Aggressive Reality Docuseries And Cyberbullying: A Partial Test Of Glaser’S Differential Identification Theory, J. Ra’Chel Fowler, Darren R. Beneby, Kenethia L. Fuller
International Journal of Cybersecurity Intelligence & Cybercrime
Reality docuseries have dominated primetime airwaves for the greater part of three decades. However, little is known about how viewers who are enamored with the genre’s most aggressive characters are influenced. Using Glaser’s (1956) theory of differential identification, this study employs survey data from 210 college students at a historically Black college and university to explore whether identification with characters from aggressive reality docuseries (ARDs) and the frequency of viewing ARD are positively associated with cyberbullying. Results of multivariate analyses revealed that men were more likely than women to publicly shame others and air other’s dirty laundry online. Additionally, the …
Emerging Trends In Cybercrime Awareness In Nigeria,
2022
Michael Okpara University of Agriculture
Emerging Trends In Cybercrime Awareness In Nigeria, Ogochukwu Favour Nzeakor, Bonaventure N. Nwokeoma, Ibrahim Hassan, Benjamin Okorie Ajah, John T. Okpa
International Journal of Cybersecurity Intelligence & Cybercrime
The study examined the current trend in cybercrime awareness and the relationship such trend has with cybercrime vulnerability or victimization. Selecting a sample of 1104 Internet users from Umuahia, Abia State, Nigeria, We found that: 1) awareness of information security was high in that about 2 in every 3 (68%) participants demonstrated a favorable awareness of information security and cybercrime. It was, however, revealed that such a high level of awareness could be partial and weak. 2) most Internet users demonstrated the awareness of fraud-related cybercrime categories (39%), e-theft (15%), hacking (12%), and ATM theft (10%). However, they were rarely …
Book Review: Digital Forensics And Cyber Investigation,
2022
Bridgewater State University
Book Review: Digital Forensics And Cyber Investigation
International Journal of Cybersecurity Intelligence & Cybercrime
No abstract provided.
Virtual Laboratories For Stem Education: An Evaluation Model And Comparison,
2022
United Arab Emirates University
Virtual Laboratories For Stem Education: An Evaluation Model And Comparison, Jumana Mahmoud Kharsa
Theses
Laboratory work is key to science education, and virtual environments play a vital role in remote learning. This thesis is concerned with the evaluation of virtual laboratories used in educational fields, mainly in STEM courses. This research investigates the basic criteria for evaluating virtual environments used in science education in order to create an evaluation scale. We reviewed the literature to highlight the main guidelines of evaluating virtual laboratories and found that the most common evaluation features for virtual tools are Ease of Use, Usefulness, Motivation, Interface Design, and Realism. Upon generating the assessment scale, we selected two web-based interactive …
A Blockchain Based Policy Framework For The Management Of Electronic Health Record (Ehrs),
2022
United Arab Emirates University
A Blockchain Based Policy Framework For The Management Of Electronic Health Record (Ehrs), Aysha Ali Mohammed Murad Qambar
Theses
The rapid development of information technology during the last decade has greatly influenced all aspects of society, including individuals and enterprise organizations. Adopting new technologies by individuals and organizations depends on several factors, such as usability, available resources, support needed for adoption benefits, and return on investment, to mention a few. When it comes to the adoption of new technologies, one of the main challenges faced by organizations is the ability to effectively incorporate such technologies into their enterprise solutions to maximize the expected benefits. For the last several years, Blockchain technology has become a popular trend in a variety …
