Publications (45)
Measuring, Characterizing, and Detecting Facebook Like Farms
Muhammad Ikram, Lucky Onwuzurike, Shehroze Farooqi +5
Social networks offer convenient ways to seamlessly reach out to large audiences. In particular, Facebook pages are increasingly used by businesses, brands, and organizations to co…
A longitudinal study of the top 1% toxic Twitter profiles
Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood +3
Toxicity is endemic to online social networks including Twitter. It follows a Pareto like distribution where most of the toxicity is generated by a very small number of profiles an…
A deep dive into the consistently toxic 1% of Twitter
Hina Qayyum, Benjamin Zi Hao Zhao, Ian D. Wood +3
Misbehavior in online social networks (OSN) is an ever-growing phenomenon. The research to date tends to focus on the deployment of machine learning to identify and classify types…
Security and Privacy in IoT Using Machine Learning and Blockchain: Threats & Countermeasures
Nazar Waheed, Xiangjian He, Muhammad Ikram +2
Security and privacy of the users have become significant concerns due to the involvement of the Internet of things (IoT) devices in numerous applications. Cyber threats are growin…
On mission Twitter Profiles: A Study of Selective Toxic Behavior
Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao +3
The argument for persistent social media influence campaigns, often funded by malicious entities, is gaining traction. These entities utilize instrumented profiles to disseminate d…
Enhancing Malware Fingerprinting through Analysis of Evasive Techniques
Alsharif Abuadbba, Sean Lamont, Ejaz Ahmed +6
As malware detection evolves, attackers adopt sophisticated evasion tactics. Traditional file-level fingerprinting, such as cryptographic and fuzzy hashes, is often overlooked as a…