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Matthew Warren

Publications and source records attributed to Matthew Warren.

7 recordsLinked to original sources

Critical Infrastructure in the Multi-Cloud Strategy: Use of Cloud Computing in SMEs

Cloud computing enables cost-effective on-demand network access to a shared pool of configurable computing resources. The purpose of this paper is to examine and identifying the use of Cloud computing in the critical infrastructure domain among small and medium sized enterprises (SMEs). The data for this study were gathered from a survey of different academic, industry, governmental and online literature related to the use of Cloud computing in SMEs. The result revealed that there are risks involved in the use of Cloud computing, SMEs are deploying Cloud computing using different deployment models and reaching a high level of deployment within the critical infrastructure. The research findings are useful for SMEs that are planning or are in the use of Cloud computing, as well as for SMEs policymakers and business support community that engaged with Cloud computing initiatives.

cs.ET

ISADM: An Integrated STRIDE, ATT&CK, and D3FEND Model for Threat Modeling Against Real-world Adversaries

FinTechs increasing connectivity, rapid innovation, and reliance on global digital infrastructures present significant cybersecurity challenges. Traditional cybersecurity frameworks often struggle to identify and prioritize sector-specific vulnerabilities or adapt to evolving adversary tactics, particularly in highly targeted sectors such as FinTech. To address these gaps, we propose ISADM (Integrated STRIDE-ATTACK-D3FEND Threat Model), a novel hybrid methodology applied to FinTech security that integrates STRIDE's asset-centric threat classification with MITRE ATTACK's catalog of real-world adversary behaviors and D3FEND's structured knowledge of countermeasures. ISADM employs a frequency-based scoring mechanism to quantify the prevalence of adversarial Tactics, Techniques, and Procedures (TTPs), enabling a proactive, score-driven risk assessment and prioritization framework. This proactive approach contributes to shifting organizations from reactive defense strategies toward the strategic fortification of critical assets. We validate ISADM through industry-relevant case study analyses, demonstrating how the approach replicates actual attack patterns and strengthens proactive threat modeling, guiding risk prioritization and resource allocation to the most critical vulnerabilities. Overall, ISADM offers a comprehensive hybrid threat modeling methodology that bridges asset-centric and adversary-centric analysis, providing FinTech systems with stronger defenses. The emphasis on real-world validation highlights its practical significance in enhancing the sector's cybersecurity posture through a frequency-informed, impact-aware prioritization scheme that combines empirical attacker data with contextual risk analysis.

cs.CR

SoK: Enhancing Privacy-Preserving Software Development from a Developers' Perspective

In software development, privacy preservation has become essential with the rise of privacy concerns and regulations such as GDPR and CCPA. While several tools, guidelines, methods, methodologies, and frameworks have been proposed to support developers embedding privacy into software applications, most of them are proofs-of-concept without empirical evaluations, making their practical applicability uncertain. These solutions should be evaluated for different types of scenarios (e.g., industry settings such as rapid software development environments, teams with different privacy knowledge, etc.) to determine what their limitations are in various industry settings and what changes are required to refine current solutions before putting them into industry and developing new developer-supporting approaches. For that, a thorough review of empirically evaluated current solutions will be very effective. However, the existing secondary studies that examine the available developer support provide broad overviews but do not specifically analyze empirically evaluated solutions and their limitations. Therefore, this Systematic Literature Review (SLR) aims to identify and analyze empirically validated solutions that are designed to help developers in privacy-preserving software development. The findings will provide valuable insights for researchers to improve current privacy-preserving solutions and for practitioners looking for effective and validated solutions to embed privacy into software development.

cs.SE

Cybersecurity Issues and Practices in a Cloud Context: A Comparison Amongst Micro, Small and Medium Enterprises

The advancement and the proliferation of information systems among enterprises have given rise to understanding cybersecurity. Cybersecurity practices provide a set of techniques and procedures to protect the systems, networks, programs and data from attack, damage, or unauthorised access. Such cybersecurity practices vary and are applied differently to different types of enterprises. The purpose of this research is to compare the critical cybersecurity threats and practices in the cloud context among micro, small, and medium enterprises. By conducting a survey among 289 micro, small and medium-sized enterprises in Australia, this study highlights the significant differences in their cloud security practices. It also concludes that future studies that focus on cybersecurity issues and practices in the context of cloud computing should pay attention to these differences.

cs.CR

An Investigative Model of Adult Cyberbullying: A Court Case Analysis

Cyberbullying is a major social issue that is on the rise with a substantial potential to impact a large number of Internet users globally. The growth and rapid proliferation of the Internet and other ubiquitous technologies like social media and smart mobile devices have increased the propensity of cyberbullying, providing it with a wider audience and rapid access. This research developed an investigative model for cyberbullying, specifically developed for adults. Therein, the model considers the cyberbullying journey from conception of the bullying idea, identification of the target to the bullying as an action. The a-priori model is motivated by the General Theory of Crime and the Routine Activity Theory. The a-priori model is then validated using 20 cyberbullying court cases from Australia, Canada, the United States and Scotland.

cs.CY

Attacking with bitcoin: Using Bitcoin to Build Resilient Botnet Armies

We focus on the problem of botnet orchestration and discuss how attackers can leverage decentralised technologies to dynamically control botnets with the goal of having botnets that are resilient against hostile takeovers. We cover critical elements of the Bitcoin blockchain and its usage for `floating command and control servers'. We further discuss how blockchain-based botnets can be built and include a detailed discussion of our implementation. We also showcase how specific Bitcoin APIs can be used in order to write extraneous data to the blockchain. Finally, while in this paper, we use Bitcoin to build our resilient botnet proof of concept, the threat is not limited to Bitcoin blockchain and can be generalized.

cs.CR

Design of a "Digital Atlas Vme Electronics" (DAVE) Module

ATLAS-SCT has developed a new ATLAS trigger card, 'Digital Atlas Vme Electronics' ("DAVE"). The unit is designed to provide a versatile array of interface and logic resources, including a large FPGA. It interfaces to both VME bus and USB hosts. DAVE aims to provide exact ATLAS CTP (ATLAS Central Trigger Processor) functionality, with random trigger, simple and complex deadtime, ECR (Event Counter Reset), BCR (Bunch Counter Reset) etc. being generated to give exactly the same conditions in standalone running as experienced in combined runs. DAVE provides additional hardware and a large amount of free firmware resource to allow users to add or change functionality. The combination of the large number of individually programmable inputs and outputs in various formats, with very large external RAM and other components all connected to the FPGA, also makes DAVE a powerful and versatile FPGA utility card

physics.ins-det