Network forensics is commonly used to identify and analyse evidence of any illegal or
unauthorised activity in a given network. The collected information can be used for …

The escalating sophistication and volume of cyber threats in cloud environments necessitate
a paradigm shift in strategies. Recognising the need for an automated and precise response …

The ever-escalating prevalence of malware is a serious cybersecurity threat, often requiring
advanced post-incident forensic investigation techniques. This paper proposes a framework …

This paper examines the impact of cognitive biases on decision-making in forensics and
digital forensics, exploring biases such as confirmation bias, anchoring bias, and hindsight …

The evolution of cybersecurity has spurred the emergence of autonomous threat hunting as
a pivotal paradigm in the realm of AI-driven threat intelligence. This review navigates …

This research presents a novel framework designed to enhance cybersecurity through the
integration of Big Data analytics, addressing the critical need for scalable and real-time …

This research paper explores the integration of Enterprise Risk Management (ERM), the ISO
27001 standard, and mobile forensics methodologies as a comprehensive framework for …

In the rapidly evolving landscape of modern technology, the convergence of blockchain
innovation and machine learning advancements presents unparalleled opportunities to …

Timeline Analysis (TA) plays a crucial role in Timeline Forensics (TF) within the field of
Digital Forensics (DF). It focuses on examining and analyzing time-based digital artefacts …

The process of globalization and industrialization has resulted in a rise in the theft of coal
and other related products, thereby becoming a focal point for forensic science. This …