Information Security Commons^™

Driverguard: Virtualization Based Fine-Grained Protection On I/O Flows, Yueqiang Cheng, Xuhua Ding, Robert H. Deng

Research Collection School Of Computing and Information Systems

Most commodity peripheral devices and their drivers are geared to achieve high performance with security functions being opted out. The absence of strong security measures invites attacks on the I/O data and consequently posts threats to those services feeding on them, such as fingerprint-based biometric authentication. In this article, we present a generic solution called DriverGuard, which dynamically protects the secrecy of I/O flows such that the I/O data are not exposed to the malicious kernel. Our design leverages a composite of cryptographic and virtualization techniques to achieve fine-grained protection without using any extra devices and modifications on user applications. …

A Forward-Secure Certificate-Based Signature Scheme, Jiguo Li, Huiyun Teng, Xinyu Huang, Yichen Zhang, Jianying Zhou

Faculty Publications

Cryptographic computations are often carried out on insecure devices for which the threat of key exposure raises a serious concern. In an effort to address the key exposure problem, the notion of forward security was first presented by Günther in 1990. In a forward-secure scheme, secret keys are updated at regular periods of time; exposure of the secret key corresponding to a given time period does not enable an adversary to ‘break’ the scheme for any prior time period. In this paper, we first introduce forward security into certificate-based cryptography and define the security model of forward-secure certificate-based signatures (CBSs). …

Is Security Sustainable?, Jeremy W. Crampton

Geography Faculty Publications

No abstract provided.

Segmentation And Model Generation For Large-Scale Cyber Attacks, Steven E. Strapp

Theses

Raw Cyber attack traffic can present more questions than answers to security analysts. Especially with large-scale observables it is difficult to identify which packets are relevant and what attack behaviors are present. Many existing works in Host or Flow Clustering attempt to group similar behaviors to expedite analysis; these works often phrase the problem directly as offline unsupervised machine learning. This work proposes online processing to simultaneously model coordinating actors and segment traffic that is relevant to a target of interest, all while it is being received. The goal is not just to aggregate similar attack behaviors, but to provide …

Innovation-Ict-Cybersecurity: The Triad Relationship And Its Impact On Growth Competitiveness, Manal M. Yunis

Theses and Dissertations - UTB/UTPA

This study examines the global growth competitiveness of countries using the dynamics of growth, ICT, and innovation. It also introduces a new dynamic, cybersecurity, and argues that within a growth competitiveness framework, ICT, innovation, and cybersecurity mechanisms allow some countries to achieve higher ranks on the competitiveness ladder than others. Based on a theoretical framework that encompasses the economic growth model, the complementarity theory, and the international law theory, a model that integrates ICT, innovation, and cybersecurity, depicts the relationships amongst them and with growth competitiveness, and incorporates complementary factors with possible moderating effect is presented. The model proposed relationships …

Cost-Sensitive Online Active Learning With Application To Malicious Url Detection, Peilin Zhao, Steven C. H. Hoi

Research Collection School Of Computing and Information Systems

Malicious Uniform Resource Locator (URL) detection is an important problem in web search and mining, which plays a critical role in internet security. In literature, many existing studies have attempted to formulate the problem as a regular supervised binary classification task, which typically aims to optimize the prediction accuracy. However, in a real-world malicious URL detection task, the ratio between the number of malicious URLs and legitimate URLs is highly imbalanced, making it very inappropriate for simply optimizing the prediction accuracy. Besides, another key limitation of the existing work is to assume a large amount of training data is available, …

Attribute-Based Encryption With Verifiable Outsourced Decryption, Junzuo Lai, Robert H. Deng, Chaowen Guan, Jian Weng

Research Collection School Of Computing and Information Systems

Attribute-based encryption (ABE) is a public-keybased one-to-many encryption that allows users to encrypt and decrypt data based on user attributes. A promising application of ABE is flexible access control of encrypted data stored in the cloud, using access polices and ascribed attributes associated with private keys and ciphertexts.One of themain efficiency drawbacks of the existing ABE schemes is that decryption involves expensive pairing operations and the number of such operations grows with the complexity of the access policy. Recently, Green et al. proposed an ABE system with outsourced decryption that largely eliminates the decryption overhead for users. In such a …

Technique For Authenticating H.264/Svc Streams In Surveillance Applications, Wei Zhuo, Robert H. Deng, Jialie Shen, Yongdong Wu, Xuhua Ding, Swee Won Lo

Research Collection School Of Computing and Information Systems

Surveillance codestreams coded by H.264/SVC (scalable video coding), which consists of one base layer and one or more enhancement layers, supply flexible and various quality, resolution, and temporal (sub)codestreams such that clients with different network bandwidth and terminal devices can seamlessly access them. In this paper, we present a robust authentication scheme for them in order to insure the integrity of SVC surveillance codestreams, named AUSSC (Authenticating SVC Surveillance Codestreams). AUSSC exploits cryptographic-based authentication for base layer and content-based authentication for enhancement layers. For content-based authentication, AUSSC extracts full features from the first frame of each GOP (group of picture) …

The Case For Mobile Forensics Of Private Data Leaks: Towards Large-Scale User-Oriented Privacy Protection, Joseph Joo Keng Chan, Kiat Wee Tan, Lingxiao Jiang, Rajesh Krishna Balan

Research Collection School Of Computing and Information Systems

Privacy protection against mobile applications on mobile devices is becoming a serious concern as user sensitive data may be leaked without proper justification. Most current leak detection tools only report leaked private data, but provide inadequate information about the causes of the leaks for end users to take preventive measures. Hence, users often cannot reconcile the way they have used an application to a reported leak — i.e., they are unable to comprehend the (il)legitimacy of the leak or make a decision on whether to allow the leak. This paper aims to demonstrate the feasibility and benefits of identifying the …

Back Matter

Journal of Digital Forensics, Security and Law

No abstract provided.

Masthead

Journal of Digital Forensics, Security and Law

No abstract provided.

Front Matter

Journal of Digital Forensics, Security and Law

No abstract provided.

Keystroke Timing Analysis Of On-The-Fly Web Apps, Chee Meng Tey, Payas Gupta, Debin Gao, Yan Zhang

Research Collection School Of Computing and Information Systems

The Google Suggestions service used in Google Search is one example of an interactivity rich Javascript application. In this paper, we analyse the timing side channel of Google Suggestions by reverse engineering the communication model from obfuscated Javascript code. We consider an attacker who attempts to infer the typing pattern of a victim. From our experiments involving 11 participants, we found that for each keypair with at least 20 samples, the mean of the inter-keystroke timing can be determined with an error of less than 20%.

Applied Hypergame Theory For Network Defense, Alan S. Gibson

Theses and Dissertations

Cyber operations are the most important aspect of military conflicts in the 21st century, but unfortunately they are also among the least understood. The continual battle for network dominance between attackers and defenders is considered to be a complex game. Hypergame theory is an extension of game theory that addresses the kind of games where misperception exists, as is often the case in military engagements. Hypergame theory, like game theory, uses a game model to determine strategy selection, but goes beyond game theory by examining subgames that exist within the full game. The inclusion of misperception and misinformation in the …

A Forensic Study Of The Effectiveness Of Selected Anti-Virus Products Against Ssdt Hooking Rootkits, Sami Al-Shaheri, Dale Lindskog, Pavol Zavarsky, Ron Ruhl

Annual ADFSL Conference on Digital Forensics, Security and Law

For Microsoft Windows Operating Systems, both anti-virus products and kernel rootkits often hook the System Service Dispatch Table (SSDT). This research paper investigates the interaction between these two in terms of the SSDT. To investigate these matters, we extracted digital evidence from volatile memory, and studied that evidence using the Volatility framework. Due to the diversity in detection techniques used by the anti-virus products, and the diversity of infection techniques used by rootkits, our investigation produced diverse results, results that helped us to understand several SSDT hooking strategies, and the interaction between the selected anti-virus products and the rootkit samples. …

An Ontology-Based Forensic Analysis Tool, Mohammed Alzaabi, Andy Jones, Thomas A. Martin

Annual ADFSL Conference on Digital Forensics, Security and Law

The analysis of forensic investigation results has generally been identified as the most complex phase of a digital forensic investigation. This phase becomes more complicated and time consuming as the storage capacity of digital devices is increasing, while at the same time the prices of those devices are decreasing. Although there are some tools and techniques that assist the investigator in the analysis of digital evidence, they do not adequately address some of the serious challenges, particularly with the time and effort required to conduct such tasks. In this paper, we consider the use of semantic web technologies and in …

First Glance: An Introductory Analysis Of Network Forensics Of Tor, Raymond Hansen

Annual ADFSL Conference on Digital Forensics, Security and Law

The Tor network is a low-latency overlay network for TCP flows that is designed to provide privacy and anonymity to its users. It is currently in use by many as a means to avoid censorship of both information to be shared and information to be retrieved. This paper details the architecture of the Tor network as a platform for evaluating the current state of forensic analysis of the Tor network. Specific attempts to block access to the Tor network are examined to identify (a) the processes utilized to identify Tor nodes, and (b) the resulting exposure of potentially inculpatory evidence. …

A Thematic Review Of User Compliance With Information Security Policies Literature, David Sikolia

Annual ADFSL Conference on Digital Forensics, Security and Law

The adoption of computer and internet technology has greatly improved the way businesses operate. However the risk to the confidentiality, integrity and availability of organizational data and systems has greatly increased too. Information security is an ever present concern for all organizations. Financial estimates of the impact of security breaches to information and technology resources range from hundreds of billions to over one trillion dollars each year worldwide (D'Arcy et al., 2011b). Organizations have therefore developed a combination of technical, administrative, and physical controls to reduce this risk (D'Arcy et al., 2011a). Administrative measures include the development of information security …

Journey Into Windows 8 Recovery Artifacts, W. K. Johnson

Annual ADFSL Conference on Digital Forensics, Security and Law

One of the most difficult processes of digital forensics is to understand how new technology interacts with current technology and how digital forensic analysts can utilize current Digital Forensics technologies and processes to recover and find information hidden. Microsoft has released their new operating system Windows 8, with this new release Microsoft has added some features to the operating system that will present some interesting complications to digital forensics. Since the initial release of the Windows 8 Release Candidates there have been some research released that focus primarily on the new user created artifacts and a few artifacts that have …

An Image Forensic Scheme With Robust And Fragile Watermarking For Business Documents, Sai Ho Kwok

Annual ADFSL Conference on Digital Forensics, Security and Law

This paper proposes an image forensic scheme with both robust and fragile watermarking techniques for business documents. Through a dual watermarking approach, the proposed scheme can achieve image forensics objectives of (a) identification of source; (b) authentication of documents; and (c) locating the tempered areas of documents due to attacks. An example is presented to prove the concepts of the proposed scheme.

Keywords: Image Forensics, Fragile and Robust Watermarking, Business Document.