ThesisAnalysis, Detection, and Mitigation of Cyberattacks
The most highly publicized attacks on the Internet are those aimed at a large number of users or devices. For example, in the case of botnets, worms, or spam messages, the higher the number of possible targets, the better it is for the attacker. In contrast, when an attack is customized for and targeted at a small number of victims, its effectiveness is usually much higher. An important factor to take into account is that these types of targeted attacks often involve attackers with an abundance of available resources to evade current detection techniques.
This theses will explore new techniques to detect, analyze, and mitigate sophisticated cyberattacks. For example, this can include the improvement of current malware analysis and detection approaches as well as the exploration of new virtualization-based solutions to measure system integrity at run-time and detect malicious modifications to the system.