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Steven Furnell

Publications and source records attributed to Steven Furnell.

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Bending the Curve: Operational Cyber Epidemiology for Ransomware

Ransomware is often treated as a detection problem, but the most disruptive incidents behave more like outbreaks. A single foothold can spread through identities, administrative tools, and shared services while responders make time-critical decisions with incomplete visibility. This paper presents an operational cyber epidemiology framework that adapts the Susceptible-Exposed-Infectious-Removed (SEIR) model to ransomware incident management. In this ontology, Exposed denotes latent compromise and staging, including the dwell period before confirmed secondary compromise, while Infectious denotes active lateral propagation. Drawing on ISO 5477:2023 guidance for public health emergency preparedness and response information management and the 2025 UNDRR-ISC Hazard Information Profiles, the framework defines interoperable ransomware case definitions and Essential Elements of Information for cross-incident comparison. Basic and effective reproduction numbers, R0 and Re, are used as directional, near-real-time decision aids for security operations centers. Propagation state is separated from observation status to avoid confusing spread dynamics with detection capability. Publicly reported incidents, including WannaCry, NotPetya, SolarWinds, and MGM and Caesars, illustrate how outbreak-style measures can support earlier isolation, credential containment, and restoration sequencing. The paper also derives practical protection-threshold heuristics aimed at reducing Re below 1 and provides a tool-agnostic playbook card linking operational information to explicit action triggers. The primary contribution is a shared language that connects technical telemetry to containment decisions under resource constraints.

cs.CR

An Identity and Interaction Based Network Forensic Analysis

In todays landscape of increasing electronic crime, network forensics plays a pivotal role in digital investigations. It aids in understanding which systems to analyse and as a supplement to support evidence found through more traditional computer based investigations. However, the nature and functionality of the existing Network Forensic Analysis Tools (NFATs) fall short compared to File System Forensic Analysis Tools (FS FATs) in providing usable data. The analysis tends to focus upon IP addresses, which are not synonymous with user identities, a point of significant interest to investigators. This paper presents several experiments designed to create a novel NFAT approach that can identify users and understand how they are using network based applications whilst the traffic remains encrypted. The experiments build upon the prior art and investigate how effective this approach is in classifying users and their actions. Utilising an in-house dataset composed of 50 million packers, the experiments are formed of three incremental developments that assist in improving performance. Building upon the successful experiments, a proposed NFAT interface is presented to illustrate the ease at which investigators would be able to ask relevant questions of user interactions. The experiments profiled across 27 users, has yielded an average 93.3% True Positive Identification Rate (TPIR), with 41% of users experiencing 100% TPIR. Skype, Wikipedia and Hotmail services achieved a notably high level of recognition performance. The study has developed and evaluated an approach to analyse encrypted network traffic more effectively through the modelling of network traffic and to subsequently visualise these interactions through a novel network forensic analysis tool.

cs.CR

Developing a cyber security culture: Current practices and future needs

While the creation of a strong security culture has been researched and discussed for decades, it continues to elude many businesses. Part of the challenge faced is distilling pertinent, recent academic findings and research into useful guidance. In this article, we aim to tackle this issue by conducting a state-of-the-art study into organisational cyber security culture research. This work investigates four questions, including how cyber security culture is defined, what factors are essential to building and maintaining such a culture, the frameworks proposed to cultivate a security culture and the metrics suggested to assess it. Through the application of the PRISMA systematic literature review technique, we identify and analyse 58 research articles from the last 10 years (2010-2020). Our findings demonstrate that while there have been notable changes in the use of terms (e.g., information security culture and cyber security culture), many of the most influential factors across papers are similar. Top management support, policy and procedures, and awareness for instance, are critical in engendering cyber security culture. Many of the frameworks reviewed revealed common foundations, with organisational culture playing a substantial role in crafting appropriate cyber security culture models. Questionnaires and surveys are the most used tool to measure cyber security culture, but there are also concerns as to whether more dynamic measures are needed. For practitioners, this article highlights factors and models essential to the creation and management of a robust security culture. For research, we produce an up-to-date characterisation of the field and also define open issues deserving of further attention such as the role of change management processes and national culture in an enterprise's cyber security culture.

cs.CR