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Honeypots to detect malware and mitigate network traffic attacks using a Game Theory based approach

Shinde, Tanmay Nitin (2020) Honeypots to detect malware and mitigate network traffic attacks using a Game Theory based approach. Masters thesis, Dublin, National College of Ireland.

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The number of cyber-attacks taking place is increasing day by day in our society. Malware attacks are one such type of attack which infects the system and can cause some unwanted or unpredictable behaviour which may be harmful to its users. DDOS (Denial of Service) attacks are also very common, and can cause a lot of problems. To prevent such attacks and to maintain the integrity of data, some guidelines or steps need to be followed. Implementing a Honeypot is one of such network intrusion detection and prevention technique. There have been numerous different strategies already implemented which identify malware with different ways such as by analysing the system resources used or by simply using YARA rules. In our research we have implemented a honeypot which can log all the connection data received and have also integrated LaikaBoss framework which is a file centric object scanning framework which detects malware by signature detection using static analysis inside our honeypot. We have also implemented a game theory based technique which can mitigate network attacks such as DOS and DDOS in our honeypot.

Item Type: Thesis (Masters)
Subjects: Q Science > QA Mathematics > Electronic computers. Computer science
T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science
Q Science > QA Mathematics > Computer software > Computer Security
T Technology > T Technology (General) > Information Technology > Computer software > Computer Security
Divisions: School of Computing > Master of Science in Cyber Security
Depositing User: Dan English
Date Deposited: 27 Jan 2021 18:30
Last Modified: 27 Jan 2021 18:30

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