For traditional, message-based communication, traffic analysis has been already studied for over three decades and during that time various attacks have been recognised. As far as mobile agents’ networks are concerned only a few, specific-scope studies have been conducted. This leaves a gap that needs to be addressed as nowadays, in the era of Big Data, the Internet of Things, Smart Infrastructures and growing concerns for privacy, the subject gains particular importance. This paper presents the results of a literature study that aimed at identifying traffic analysing attacks and countermeasures in mobile agents’ networks. No limiting assumptions are made in regard to the complexity or size of agent networks. Also, various types of attackers’ configurations have been analysed and referred to each attack. The results enable building appropriate threat models for cybersecurity management or when designing new security solutions.
Authors
Additional information
- Category
- Aktywność konferencyjna
- Type
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language
- angielski
- Publication year
- 2021
