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Image-Based Malware Classification: A Space Filling Curve Approach, Stephen O Shaughnessy 2019 Technological University Dublin

Image-Based Malware Classification: A Space Filling Curve Approach, Stephen O Shaughnessy

Conference Papers

Anti-virus (AV) software is effective at distinguishing between benign and malicious programs yet lack the ability to effectively classify malware into their respective family classes. AV vendors receive considerably large volumes of malicious programs daily and so classification is crucial to quickly identify variants of existing malware that would otherwise have to be manually examined. This paper proposes a novel method of visualizing and classifying malware using Space-Filling Curves (SFC's) in order to improve the limitations of AV tools. The classification models produced were evaluated on previously unseen samples and showed promising results, with precision, recall and accuracy scores of …


Agent-Based Iot Coordination For Smart Cities Considering Security And Privacy, Iván García-Magariño, Geraldine Gray, Rajarajan Muttukrishnan, Waqar Asif 2019 Universidad Complutense de Madrid

Agent-Based Iot Coordination For Smart Cities Considering Security And Privacy, Iván García-Magariño, Geraldine Gray, Rajarajan Muttukrishnan, Waqar Asif

Conference papers

The interest in Internet of Things (IoT) is increasing steeply, and the use of their smart objects and their composite services may become widespread in the next few years increasing the number of smart cities. This technology can benefit from scalable solutions that integrate composite services of multiple-purpose smart objects for the upcoming large-scale use of integrated services in IoT. This work proposes an agent-based approach for supporting large-scale use of IoT for providing complex integrated services. Its novelty relies in the use of distributed blackboards for implicit communications, decentralizing the storage and management of the blackboard information in the …


Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework, Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, Lee Giles 2019 Old Dominion University

Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework, Nir Nissim, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, Lee Giles

Computer Science Faculty Publications

Researchers from academia and the corporate-sector rely on scholarly digital libraries to access articles. Attackers take advantage of innocent users who consider the articles' files safe and thus open PDF-files with little concern. In addition, researchers consider scholarly libraries a reliable, trusted, and untainted corpus of papers. For these reasons, scholarly digital libraries are an attractive-target and inadvertently support the proliferation of cyber-attacks launched via malicious PDF-files. In this study, we present related vulnerabilities and malware distribution approaches that exploit the vulnerabilities of scholarly digital libraries. We evaluated over two-million scholarly papers in the CiteSeerX library and found the library …


Security And Accuracy Of Fingerprint-Based Biometrics: A Review, Wencheng Yang, Song Wang, Jiankun Hu, Guanglou Zhang, Craig Valli 2019 Edith Cowan University

Security And Accuracy Of Fingerprint-Based Biometrics: A Review, Wencheng Yang, Song Wang, Jiankun Hu, Guanglou Zhang, Craig Valli

Research outputs 2014 to 2021

Biometric systems are increasingly replacing traditional password- and token-based authentication systems. Security and recognition accuracy are the two most important aspects to consider in designing a biometric system. In this paper, a comprehensive review is presented to shed light on the latest developments in the study of fingerprint-based biometrics covering these two aspects with a view to improving system security and recognition accuracy. Based on a thorough analysis and discussion, limitations of existing research work are outlined and suggestions for future work are provided. It is shown in the paper that researchers continue to face challenges in tackling the two …


Aligning Security Practice With Policy: Guiding And Nudging Towards Better Behavior, Steven M. Furnell, Faisal Alotaibi, Rawan Esmael 2019 Edith Cowan University

Aligning Security Practice With Policy: Guiding And Nudging Towards Better Behavior, Steven M. Furnell, Faisal Alotaibi, Rawan Esmael

Research outputs 2014 to 2021

Despite an abundance of policies being directed towards them, users often struggle to follow good cybersecurity practice. Recognizing that such behaviors do not come naturally, a logical approach is to ensure that users are guided and supported in knowing what to do and how to do it. Unfortunately, such support is often lacking. The paper uses the example of password authentication as a specific context in which cybersecurity behavior is frequently criticized, but where users are often left to manage without sufficient support (as evidenced by examining the lack of related guidance and enforcement of good practice on leading websites). …


Integration Of Biometrics And Steganography: A Comprehensive Review, Ian McAteer, Ahmed Ibrahim, Guanglou Zhang, Wencheng Yang, Craig Valli 2019 Edith Cowan University

Integration Of Biometrics And Steganography: A Comprehensive Review, Ian Mcateer, Ahmed Ibrahim, Guanglou Zhang, Wencheng Yang, Craig Valli

Research outputs 2014 to 2021

The use of an individual’s biometric characteristics to advance authentication and verification technology beyond the current dependence on passwords has been the subject of extensive research for some time. Since such physical characteristics cannot be hidden from the public eye, the security of digitised biometric data becomes paramount to avoid the risk of substitution or replay attacks. Biometric systems have readily embraced cryptography to encrypt the data extracted from the scanning of anatomical features. Significant amounts of research have also gone into the integration of biometrics with steganography to add a layer to the defence-in-depth security model, and this has …


Managing Cyber Risks & Business Exposure In The Surface Transportation Ecosystem, Jacques R. Francoeur 2019 National Transportation Security Center, Mineta Transportation Institute

Managing Cyber Risks & Business Exposure In The Surface Transportation Ecosystem, Jacques R. Francoeur

Mineta Transportation Institute

This report focuses on Surface Transportation (ST), both fixed and route-based, and the growing threats to their information technology (IT) infrastructures. As an industry, ST seeks to optimize the movement of people and goods, while ensuring safety and resiliency and minimizing environmental impact. Cyber threats are a powerful medium for those with the political, social, and economic motivations and wherewithal to disrupt and destroy existing ST systems. The ultimate objective is to develop a new paradigm to define, describe, design, and deploy the most effective protection, at the lowest cost, in the shortest time within the limits of available resources. …


Privacy-Preserving Attribute-Based Keyword Search In Shared Multi-Owner Setting, Yibin MIAO, Ximeng LIU, Robert H. DENG, Robert H. DENG, Jjguo LI, Hongwei LI, Jianfeng MA 2019 Singapore Management University

Privacy-Preserving Attribute-Based Keyword Search In Shared Multi-Owner Setting, Yibin Miao, Ximeng Liu, Robert H. Deng, Robert H. Deng, Jjguo Li, Hongwei Li, Jianfeng Ma

Research Collection Yong Pung How School Of Law

Ciphertext-Policy Attribute-Based Keyword Search (CP-ABKS) facilitates search queries and supports fine-grained access control over encrypted data in the cloud. However, prior CP-ABKS schemes were designed to support unshared multi-owner setting, and cannot be directly applied in the shared multi-owner setting (where each record is accredited by a fixed number of data owners), without incurring high computational and storage costs. In addition, due to privacy concerns on access policies, most existing schemes are vulnerable to off-line keyword-guessing attacks if the keyword space is of polynomial size. Furthermore, it is difficult to identify malicious users who leak the secret keys when more …


When Human Cognitive Modeling Meets Pins: User-Independent Inter-Keystroke Timing Attacks, Ximing LIU, Yingjiu LI, Robert H. DENG, Bing CHANG, Shujun LI 2019 Singapore Management University

When Human Cognitive Modeling Meets Pins: User-Independent Inter-Keystroke Timing Attacks, Ximing Liu, Yingjiu Li, Robert H. Deng, Bing Chang, Shujun Li

Research Collection School Of Computing and Information Systems

This paper proposes the first user-independent inter-keystroke timing attacks on PINs. Our attack method is based on an inter-keystroke timing dictionary built from a human cognitive model whose parameters can be determined by a small amount of training data on any users (not necessarily the target victims). Our attacks can thus be potentially launched on a large scale in real-world settings. We investigate inter-keystroke timing attacks in different online attack settings and evaluate their performance on PINs at different strength levels. Our experimental results show that the proposed attack performs significantly better than random guessing attacks. We further demonstrate that …


Exploring Applicability Of Blockchain To Enhance Single Sign-On (Sso) Systems, Samuel Matloob 2019 University of North Florida

Exploring Applicability Of Blockchain To Enhance Single Sign-On (Sso) Systems, Samuel Matloob

UNF Graduate Theses and Dissertations

Single-Sign-On (SSO) systems usage has been on the rise exponentially. One of the major benefits of having an SSO system is to have a central authentication service, which other applications can use. However, SSO services are also prone to failure. If an SSO service becomes unavailable due to failure, every application that uses the SSO service become simultaneously inaccessible to users. The goal of this research is to explore a technique to mitigate the availability issue of the SSO by customizing its functionality, and distributing its data using blockchain technology over the network. The Blockchain data structure possesses inherent properties …


Impact Of Framing And Base Size Of Computer Security Risk Information On User Behavior, Xinhui Zhan 2019 Missouri University of Science and Technology

Impact Of Framing And Base Size Of Computer Security Risk Information On User Behavior, Xinhui Zhan

Masters Theses

"This research examines the impact of framing and base size of computer security risk information on users' risk perceptions and behavior (i.e., download intention and download decision). It also examines individual differences (i.e., demographic factors, computer security awareness, Internet structural assurance, self-efficacy, and general risk-taking tendencies) associated with users' computer security risk perceptions. This research draws on Prospect Theory, which is a theory in behavioral economics that addresses risky decision-making, to generate hypotheses related to users' decision-making in the computer security context. A 2 x 3 mixed factorial experimental design (N = 178) was conducted to assess the effect of …


From The Editors, Carole L. Hollingsworth, Michael E. Whitman, Herbert J. Mattord 2018 Kennesaw State University

From The Editors, Carole L. Hollingsworth, Michael E. Whitman, Herbert J. Mattord

Journal of Cybersecurity Education, Research and Practice

Welcome to the Fall 2018 issue of the Journal of Cybersecurity Education, Research, and Practice (JCERP). On behalf of the editorial team, we thank you for taking the time to read this issue and strongly encourage you to submit an article for consideration in an upcoming edition.


Using A Game To Improve Phishing Awareness, Patrickson Weanquoi, Jaris Johnson, Jinghua Zhang 2018 Winston-Salem State University

Using A Game To Improve Phishing Awareness, Patrickson Weanquoi, Jaris Johnson, Jinghua Zhang

Journal of Cybersecurity Education, Research and Practice

Cybersecurity education has become increasingly critical as we spend more of our everyday lives online. Research shows that college students are mostly unaware of the many online dangers. To teach students about cybersecurity using their preferred medium, gaming, we developed an educational 2D game called “Bird’s Life” that aims to teach college students, as well as general interest individuals, about phishing. Players will come to understand phishing attacks and how to avoid them in real-world scenarios through a fun gaming context. The game can be deployed to multiple platforms such as PC, web, and mobile devices. To measure the effect …


Using Case Studies To Teach Cybersecurity Courses, Yu Cai 2018 Michigan Technological University

Using Case Studies To Teach Cybersecurity Courses, Yu Cai

Journal of Cybersecurity Education, Research and Practice

This paper introduces a holistic and case-analysis teaching model by integrating case studies into cybersecurity courses. The proposed model starts by analyzing real-world cyber breaches. Students look into the details of these attacks and learn how these attacks took place from the beginning to the end. During the process of case analysis, a list of security topics reflecting different aspects of these breaches is introduced. Through guided in-class discussion and hands-on lab assignments, student learning in lecture will be reinforced. Overall, the entire cybersecurity course is driven by case studies. The proposed model is great for teaching cybersecurity. First, the …


Cover, 2018 Embry-Riddle Aeronautical University

Cover

Journal of Digital Forensics, Security and Law

No abstract provided.


Masthead, 2018 Embry-Riddle Aeronautical University

Masthead

Journal of Digital Forensics, Security and Law

No abstract provided.


Table Of Contents, 2018 Embry-Riddle Aeronautical University

Table Of Contents

Journal of Digital Forensics, Security and Law

No abstract provided.


Back Matter, 2018 Embry-Riddle Aeronautical University

Back Matter

Journal of Digital Forensics, Security and Law

No abstract provided.


Russia Today, Cyberterrorists Tomorrow: U.S. Failure To Prepare Democracy For Cyberspace, Jonathan F. Lancelot 2018 Norwich University

Russia Today, Cyberterrorists Tomorrow: U.S. Failure To Prepare Democracy For Cyberspace, Jonathan F. Lancelot

Journal of Digital Forensics, Security and Law

This paper is designed to expose vulnerabilities within the US electoral system, the use of cyberspace to exploit weaknesses within the information assurance strategies of the democratic and republican party organizations, and deficiencies within the social media communications and voting machine exploits. A brief history of discriminatory practices in voting rights and voting access will be set as the foundation for the argument that the system is vulnerable in the cyber age, and the need for reform at the local, state and national levels will be emphasized. The possibility of a foreign nation-state influencing the outcome of an election by …


Forensic Analysis Of A Crash-Damaged Cheerson Cx-20 Auto Pathfinder Drone, Ian N. McAteer, Peter Hannay, Muhammad I. Malik, Zubair Baig 2018 School of Science, Edith Cowan University, Perth, Australia

Forensic Analysis Of A Crash-Damaged Cheerson Cx-20 Auto Pathfinder Drone, Ian N. Mcateer, Peter Hannay, Muhammad I. Malik, Zubair Baig

Journal of Digital Forensics, Security and Law

Long gone are the days when Unmanned Aerial Vehicles (UAVs) and drones (multirotor UAVs) were the exclusive domain of the military for surveillance or tactical strike purposes. For relatively little money mainly due to high-tech progression in microprocessor design, anyone can now purchase a drone with GNSS-tracking capabilities and can support a live high-resolution video feed to its flight controller. The global population of drones has sky- rocketed in recent years as this new technology has been embraced for both its recreational and commercial applications. However, the more nefarious members of society have also recognized the potential for using drones …


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