Dahbul, Rasyid Naif and Lim, Charles and Purnama, James (2016) Honeypot Fingerprint Identification To Enhance Its Deception To Attackers. Bachelor thesis, Swiss German University.
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Abstract
Honeypots are a great way to learn about unknown and new network-related attacks, it creates a decoy and record all activities that are happening on that system. Because honeypots are now popular and more deployed by network administrators, malicious attackers will try to find honeypot’s weaknesses by searching its fingerprints. This research looks at the weakness of honeypots, which is fingerprints. The threat modeling methodology that are used helps the research by understanding the security model of the honeypot. Using threat modeling methodology, we are able to enhance the honeypots deception by configuring the honeypots itself. Review from security experts further validate the enhancements of the honeypots by providing instructive feedback for this research.
| Item Type: | Thesis (Bachelor) |
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| Uncontrolled Keywords: | Honeypot; Security; Fingerprint; Deception; Detection |
| Subjects: | H Social Sciences > HV Social pathology. Social and public welfare > HV6074 Fingerprints--Identification T Technology > T Technology (General) > T58.5 Information technology |
| Divisions: | Faculty of Engineering and Information Technology > Department of Information Technology |
| Depositing User: | Astuti Kusumaningrum |
| Date Deposited: | 19 Oct 2020 14:53 |
| Last Modified: | 19 Oct 2020 14:53 |
| URI: | http://repository.sgu.ac.id/id/eprint/921 |
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