Designing a new model to detect Trojan Horse based on knowledge discovery and data mining

Trojan has become a real threat to computer users for more than a decade. It is considered as one of the most serious threats in cyber world. Trojan has polymorphism characteristics that make the detection processes much harder than before. Therefore, in this thesis a new model called Efficient Troj...

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Main Author:	Areej Mustafa Khlaif Abuzaid
Format:	Thesis
Language:	English
Subjects:	Computer viruses Trojan horse detection
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id	my-usim-ddms-12287
record_format	uketd_dc
spelling	my-usim-ddms-122872024-05-29T03:59:55Z Designing a new model to detect Trojan Horse based on knowledge discovery and data mining Areej Mustafa Khlaif Abuzaid Trojan has become a real threat to computer users for more than a decade. It is considered as one of the most serious threats in cyber world. Trojan has polymorphism characteristics that make the detection processes much harder than before. Therefore, in this thesis a new model called Efficient Trojan Detection Model (ETDMo) is built to detect Trojan horse more efficiently than before. The novelty of the ETDMo model lies in the method implemented which consists of EDTMo KDD processes and ETDMo trojan classification. On top of that, the static, dynamic and automated (sandbox) analyses also were integrated in this research. The knowledge discovery techniques (KDD) is used for modeling the ETDMo model and the data mining algorithms were used to optimise the performance result. This ETDMo model produces an overall accuracy rate of 98.2% with 1.7% for false positive rate. This result shows a better accuracy rate compared to existing work for malware detection. Other researchers can used this result as their comparison study for their future work. Universiti Sains Islam Malaysia 2014-05 Thesis en https://oarep.usim.edu.my/handle/123456789/12287 https://oarep.usim.edu.my/bitstreams/503b37e8-0f22-4ee1-b38b-41cedc87e91c/download 8a4605be74aa9ea9d79846c1fba20a33 Computer viruses Trojan horse detection
institution	Universiti Sains Islam Malaysia
collection	USIM Institutional Repository
language	English
topic	Computer viruses Trojan horse detection
spellingShingle	Computer viruses Trojan horse detection Areej Mustafa Khlaif Abuzaid Designing a new model to detect Trojan Horse based on knowledge discovery and data mining
description	Trojan has become a real threat to computer users for more than a decade. It is considered as one of the most serious threats in cyber world. Trojan has polymorphism characteristics that make the detection processes much harder than before. Therefore, in this thesis a new model called Efficient Trojan Detection Model (ETDMo) is built to detect Trojan horse more efficiently than before. The novelty of the ETDMo model lies in the method implemented which consists of EDTMo KDD processes and ETDMo trojan classification. On top of that, the static, dynamic and automated (sandbox) analyses also were integrated in this research. The knowledge discovery techniques (KDD) is used for modeling the ETDMo model and the data mining algorithms were used to optimise the performance result. This ETDMo model produces an overall accuracy rate of 98.2% with 1.7% for false positive rate. This result shows a better accuracy rate compared to existing work for malware detection. Other researchers can used this result as their comparison study for their future work.
format	Thesis
author	Areej Mustafa Khlaif Abuzaid
author_facet	Areej Mustafa Khlaif Abuzaid
author_sort	Areej Mustafa Khlaif Abuzaid
title	Designing a new model to detect Trojan Horse based on knowledge discovery and data mining
title_short	Designing a new model to detect Trojan Horse based on knowledge discovery and data mining
title_full	Designing a new model to detect Trojan Horse based on knowledge discovery and data mining
title_fullStr	Designing a new model to detect Trojan Horse based on knowledge discovery and data mining
title_full_unstemmed	Designing a new model to detect Trojan Horse based on knowledge discovery and data mining
title_sort	designing a new model to detect trojan horse based on knowledge discovery and data mining
granting_institution	Universiti Sains Islam Malaysia
_version_	1812444785187749888

Designing a new model to detect Trojan Horse based on knowledge discovery and data mining

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