Botnets are a major threat to the Internet landscape and have been responsible for large scale distributed attacks on online services. To make take down measures more difficult, Botnet operators started to incorporate anonymous networks into their software to protect their users and their Botnets. Although privacy and anonymity is an important goal of such services, cyber criminals also benefit from these properties, hiding their identity and location in the shadow of anonymity. This work investigates Botnets in anonymous networks and proposes mitigation strategies against such threat. This research is still in its initial state and is planned to result in a Ph.D. thesis.
|Number of pages||5|
|Publication status||Published - Jul 2018|
|Event||12th International Conference on Autonomous Infrastructure, Management and Security 2018 - Munich, Germany|
Duration: 4 Jul 2018 → 7 Jul 2018
Conference number: 12
|Conference||12th International Conference on Autonomous Infrastructure, Management and Security 2018|
|Abbreviated title||AIMS 2018|
|Period||4/07/18 → 7/07/18|
Kuhnert, K., Steinberger, J., & Baier, H. (2018). Botnet detection and prevention in anonymous networks. Paper presented at 12th International Conference on Autonomous Infrastructure, Management and Security 2018, Munich, Germany.