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20112025
most citedCyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic

674 citations

Showing cs.CRShow all

15 papers · 1 filter

cs.CR2021★ 4 cited

Utilising Flow Aggregation to Classify Benign Imitating Attacks

Hanan Hindy, Robert Atkinson, Christos Tachtatzis +3

Cyber-attacks continue to grow, both in terms of volume and sophistication. This is aided by an increase in available computational power, expanding attack surfaces, and advancemen…

cs.CR2020★ 1 cited

Proposal of a Novel Bug Bounty Implementation Using Gamification

Jamie O'Hare, Lynsay A. Shepherd

Despite significant popularity, the bug bounty process has remained broadly unchanged since its inception, with limited implementation of gamification aspects. Existing literature…

cs.CR2020★ 2 cited

Human-Computer Interaction Considerations When Developing Cyber Ranges

Lynsay A. Shepherd, Stefano De Paoli, Jim Conacher

The number of cyber-attacks are continuing to rise globally. It is therefore vital for organisations to develop the necessary skills to secure their assets and to protect critical…

cs.CR2020★ 674 cited

Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic

Harjinder Singh Lallie, Lynsay A. Shepherd, Jason R. C. Nurse +4

The COVID-19 pandemic was a remarkable unprecedented event which altered the lives of billions of citizens globally resulting in what became commonly referred to as the new-normal…

cs.CR2020★ 226 cited

Utilising Deep Learning Techniques for Effective Zero-Day Attack Detection

Hanan Hindy, Robert Atkinson, Christos Tachtatzis +3

Machine Learning (ML) and Deep Learning (DL) have been used for building Intrusion Detection Systems (IDS). The increase in both the number and sheer variety of new cyber-attacks p…

cs.CR2020★ 41 cited

Leveraging Siamese Networks for One-Shot Intrusion Detection Model

Hanan Hindy, Christos Tachtatzis, Robert Atkinson +5

The use of supervised Machine Learning (ML) to enhance Intrusion Detection Systems has been the subject of significant research. Supervised ML is based upon learning by example, de…