Efficient Detection Of Malware Beaconing

Gomes, Shairin (2019) Efficient Detection Of Malware Beaconing. Masters thesis, Dublin, National College of Ireland.

Preview

PDF (Master of Science) Download (1MB) | Preview

Abstract

Several attempts have been made towards implementing strong and protective firewalls on the network system as well as on the host systems, however, the traceability of the malware remains undetected in instances when the same lies in the lower layers of the network security. With respect to malwares, beaconing is the behaviour that encompasses of the practice of sending short as well as regular communications to an attacker or controlled host, from the infected host, for communicating that the infected host malware has been activated, and the same is alive as well as functioning, thereby ready to take the instructions. Beacons are considered as one of the suitable means for the detection of the malwares in the network security and therefore, focus has been made towards the same. The current study had employed the use of PSO and AES techniques for the detection of the malware beaconing to determine the threats within the network security. A model has been proposed based on these two techniques and the same was implemented to determine the efficacy of the proposed model. Based on the results that have been acquired from the tests that were conducted using the proposed model, it can be concluded that the utilisation of models based on AES and PSO techniques are indeed effective and therefore, can be used for the detection of the malware beaconing in any network security during cyber-attacks, so that the necessary steps can be taken for overcoming the issue.

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 T Technology > T Technology (General) > Information Technology > Computer software 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:	Caoimhe Ní Mhaicín
Date Deposited:	15 Oct 2019 11:28
Last Modified:	15 Oct 2019 11:28
URI:	https://norma.ncirl.ie/id/eprint/3897

Actions (login required)

View Item