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Malware is responsible for massive economic damage. Being the preferred tool for digital crime, botnets are becoming increasingly sophisticated, using more and more resilient, distributed infrastructures based on peer-to-peer (P2P) protocols. On the other side, current investigation techniques for malware and botnets on a technical level are time-consuming and highly complex. Fraunhofer FKIE is addressing this problem, researching new ways of intelligent process automation and information management for malware analysis in order to minimize the time needed to investigate these threats.
Today’s computer systems face a vast array of severe threats that are posed by automated attacks performed by malicious software as well as manual attacks by individual humans. These attacks not only differ in their technical implementation but may also be location-dependent. Consequentially, it is necessary to join the information from heterogeneous and distributed attack sensors in order to acquire comprehensive information on current ongoing cyber attacks.
Routing Attacks are a serious threat to communication in tactical MANETs. TOGBAD is a centralised approach, using topology graphs to detect such attacks. In this paper, we present TOGBAD's newly added wormhole detection capability. It is an adaptation of a wormhole detection method developed by Hu et al. This method is based on nodes' positions. We adapted it to the specific properties of tactical environments. Furthermore, we present simulation results which show TOGBAD's performance regarding the detection of wormhole attacks.
Usable Security und Privacy
(2010)