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20192023
most citedAn Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

432 citations · 1.5k across the 46 of their papers we have counts for

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Showing 2019Show all

11 papers · 1 filter

cs.CR2019★ 1 cited

Performance Analysis of TLS for Quantum Robust Cryptography on a Constrained Device

Jon Barton, William J Buchanan, Nikolaos Pitropakis +2

Advances in quantum computing make Shor's algorithm for factorising numbers ever more tractable. This threatens the security of any cryptographic system which often relies on the d…

cs.CY2019★ 16 cited

The Challenges of Investigating Cryptocurrencies and Blockchain Related Crime

Simon Dyson, William J Buchanan, Liam Bell

We increasingly live in a world where there is a balance between the rights to privacy and the requirements for consent, and the rights of society to protect itself. Within this wo…

cs.CR2019★ 2 cited

Discovering Encrypted Bot and Ransomware Payloads Through Memory Inspection Without A Priori Knowledge

Peter McLaren, William J Buchanan, Gordon Russell +1

Malware writers frequently try to hide the activities of their agents within tunnelled traffic. Within the Kill Chain model the infection time is often measured in seconds, and if…

cs.CR2019★ 13 cited

Deriving ChaCha20 Key Streams From Targeted Memory Analysis

Peter McLaren, William J Buchanan, Gordon Russell +1

There can be performance and vulnerability concerns with block ciphers, thus stream ciphers can used as an alternative. Although many symmetric key stream ciphers are fairly resist…

cs.CR2019★ 7 cited

Protocol for Asynchronous, Reliable, Secure and Efficient Consensus (PARSEC) Version 2.0

Pierre Chevalier, Bartlomiej Kaminski, Fraser Hutchison +4

In this paper we present an open source, fully asynchronous, leaderless algorithm for reaching consensus in the presence of Byzantine faults in an asynchronous network. We prove th…

cs.CR2019★ 89 cited

Machine learning and semantic analysis of in-game chat for cyberbullying

Shane Murnion, William J. Buchanan, Adrian Smales +1

One major problem with cyberbullying research is the lack of data, since researchers are traditionally forced to rely on survey data where victims and perpetrators self-report thei…