Ransomware: Emergence of the cyber-extortion menace

Ransomware is increasingly posing a threat to the security of information resources. Millions of dollars of monetary loss have been afflicted on end-users and corporations alike through unlawful deployment of ransomware. Through malware injection into end-user devices and subsequent extortion of their system or data, ransomware has emerged as a threat requiring immediate attention and containment by the cyber-security community. We conduct a detailed analysis of the steps of execution involved in ransomware deployment to facilitate readiness of the cyber-security community in containing the rapid proliferation of ransomware. This paper examines the evolution of malware over a period of 26 years and the emergence of ransomware in the cyber-threat landscape. Key findings on the evolution of ransomware and its use of emerging technologies are presented

SAFEGUARDING AGAINST ROMANCE SCAMS – USING PROTECTION MOTIVATION THEORY

Online dating offers new opportunities for individuals to seek a romantic partner; however, the platform has also been exploited by criminals seeking to perpetrate scams, classified as online dating (romance) fraud. These are arguably one of the most distressing frauds, as victims suffer both financially and emotionally. Thus, this emergent issue has fielded increasing attention from diverse disciplines, though research still remains limited – in particular, investigation of romance fraud from a risk mitigation and information systems (IS) approach has been neglected. This study begins to address these shortfalls by utilising Protection Motivation Theory (PMT) as a framework for understanding the factors and processes underlying intention to use protective tools safeguarding against online dating (OD) scams. The results of Partial Least Squares analysis showed the perceptions and importance of PMT factors differs among protection mechanisms, highlighting the need to better understand and thus enhance the mechanisms based on empirical evidence. Additionally, an online dater‘s assessment of the protective mechanism (and protective response) generally has a greater influence on adopting protective behaviour, than the evaluation of the scam itself

On the Content Security Policy Violations due to the Same-Origin Policy

International audienceModern browsers implement different security policies such as the Content Security Policy (CSP), a mechanism designed to mitigate popular web vulnerabilities, and the Same Origin Policy (SOP), a mechanism that governs interactions between resources of web pages. In this work, we describe how CSP may be violated due to the SOP when a page contains an embedded iframe from the same origin. We analyse 1 million pages from 10,000 top Alexa sites and report that at least 31.1% of current CSP-enabled pages are potentially vulnerable to CSP violations. Further considering real-world situations where those pages are involved in same-origin nested browsing contexts, we found that in at least 23.5% of the cases, CSP violations are possible. During our study, we also identified a divergence among browsers implementations in the enforcement of CSP in sr-cdoc sandboxed iframes, which actually reveals a problem in Gecko-based browsers CSP implementation. To ameliorate the problematic conflicts of the security mechanisms, we discuss measures to avoid CSP violations

A structured approach to malware detection and analysis in digital forensics investigation

A thesis submitted to the University of Bedfordshire in partial fulfilment of the requirement for the degree of PhDWithin the World Wide Web (WWW), malware is considered one of the most serious threats to system security with complex system issues caused by malware and spam. Networks and systems can be accessed and compromised by various types of malware, such as viruses, worms, Trojans, botnet and rootkits, which compromise systems through coordinated attacks. Malware often uses anti-forensic techniques to avoid detection and investigation. Moreover, the results of investigating such attacks are often ineffective and can create barriers for obtaining clear evidence due to the lack of sufficient tools and the immaturity of forensics methodology. This research addressed various complexities faced by investigators in the detection and analysis of malware. In this thesis, the author identified the need for a new approach towards malware detection that focuses on a robust framework, and proposed a solution based on an extensive literature review and market research analysis. The literature review focussed on the different trials and techniques in malware detection to identify the parameters for developing a solution design, while market research was carried out to understand the precise nature of the current problem. The author termed the new approaches and development of the new framework the triple-tier centralised online real-time environment (tri-CORE) malware analysis (TCMA). The tiers come from three distinctive phases of detection and analysis where the entire research pattern is divided into three different domains. The tiers are the malware acquisition function, detection and analysis, and the database operational function. This framework design will contribute to the field of computer forensics by making the investigative process more effective and efficient. By integrating a hybrid method for malware detection, associated limitations with both static and dynamic methods are eliminated. This aids forensics experts with carrying out quick, investigatory processes to detect the behaviour of the malware and its related elements. The proposed framework will help to ensure system confidentiality, integrity, availability and accountability. The current research also focussed on a prototype (artefact) that was developed in favour of a different approach in digital forensics and malware detection methods. As such, a new Toolkit was designed and implemented, which is based on a simple architectural structure and built from open source software that can help investigators develop the skills to critically respond to current cyber incidents and analyses