121 citations · 211 across the 5 of their papers we have counts for
5 papers
Examining the Rat in the Tunnel: Interpretable Multi-Label Classification of Tor-based Malware
Ishan Karunanayake, Mashael AlSabah, Nadeem Ahmed +1
Despite being the most popular privacy-enhancing network, Tor is increasingly adopted by cybercriminals to obfuscate malicious traffic, hindering the identification of malware-rela…
Machine Learning-based Automatic Annotation and Detection of COVID-19 Fake News
Mohammad Majid Akhtar, Bibhas Sharma, Ishan Karunanayake +3
COVID-19 impacted every part of the world, although the misinformation about the outbreak traveled faster than the virus. Misinformation spread through online social networks (OSN)…
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
Visal Rajapakse, Ishan Karunanayake, Nadeem Ahmed
Tiny Machine Learning (TinyML) is an upsurging research field that proposes to democratize the use of Machine Learning and Deep Learning on highly energy-efficient frugal Microcont…
Don't be a Victim During a Pandemic! Analysing Security and Privacy Threats in Twitter During COVID-19
Bibhas Sharma, Ishan Karunanayake, Rahat Masood +1
There has been a huge spike in the usage of social media platforms during the COVID-19 lockdowns. These lockdown periods have resulted in a set of new cybercrimes, thereby allowing…
De-anonymisation attacks on Tor: A Survey
Ishan Karunanayake, Nadeem Ahmed, Robert Malaney +2
Anonymity networks are becoming increasingly popular in today's online world as more users attempt to safeguard their online privacy. Tor is currently the most popular anonymity ne…