Engineering Commons^™

Strategies In Botnet Detection And Privacy Preserving Machine Learning, Di Zhuang

USF Tampa Graduate Theses and Dissertations

Peer-to-peer (P2P) botnets have become one of the major threats in network security for serving as the infrastructure that responsible for various of cyber-crimes. Though a few existing work claimed to detect traditional botnets effectively, the problem of detecting P2P botnets involves more challenges. In this dissertation, we present two P2P botnet detection systems, PeerHunter and Enhanced PeerHunter. PeerHunter starts from a P2P hosts detection component. Then, it uses mutual contacts as the main feature to cluster bots into communities. Finally, it uses community behavior analysis to detect potential botnet communities and further identify bot candidates. Enhanced PeerHunter is an …

Investigation Of Machine Learning Algorithms For Intrusion Detection System In Cybersecurity, Mohmmed Alrowaily

USF Tampa Graduate Theses and Dissertations

The proliferation in usage and complexity of modern communication and network systems, a large number of trustworthy online Services and systems have been deployed. Even so, cybersecurity threats are still growing. An Intrusion Detection System (IDS) play a vital role in ensuring the security of communication networks, and it is taken into account as the subsequent security gate after the firewall. The IDS informs the system or network administrator in order to take specific actions to evade the suspicious activities. Three significant contributions are made during the course of this research to illustrate the feasibility of these IDS approaches. In …

Cross Layer-Based Intrusion Detection System Using Machine Learning For Manets, Amar Amouri

USF Tampa Graduate Theses and Dissertations

Intrusion Detection systems plays a crucial role in detecting malicious activities that deteriorate the performance of the network. Mobile AdHoc Networks (MANETs) and Wireless Sensor Networks (WSNs) are a type of wireless networks that can deliver data without any need of infrastructure for their operation. The distributed nature of these networks and the limited resources available, pose a huge challenge for the security of a network. The need for an IDS that can adapt with such challenges is of utmost importance.

Two IDS schemes are presented in this dissertation; the first scheme is based on utilizing the promiscuous mode based …