An Efficient Feature Extraction Method For Static Malware Analysis Using PE Header Files

Hossain, Onamika; Dhruba, Sadia Tasnim; Jalal, Fabiha

dc.contributor.author	Hossain, Onamika
dc.contributor.author	Dhruba, Sadia Tasnim
dc.contributor.author	Jalal, Fabiha
dc.date.accessioned	2024-08-29T05:46:38Z
dc.date.available	2024-08-29T05:46:38Z
dc.date.issued	2023-05-30
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dc.identifier.uri	http://hdl.handle.net/123456789/2141
dc.description	Supervised by Dr. Md Moniruzzaman, Assistant Professor, Mr. Imtiaj Ahmed Chowdhury, Lecturer, Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.description.abstract	Detecting malware is crucial for safeguarding various devices, ranging from per sonal computers to large-scale systems,because computer systems continue to face serious security concerns from an increasing number of malware occurrences. Static analysis offers the ability to extract multiple file characteristics across var ious categories of information, eliminating the expenses and risks associated with dynamic analysis. By leveraging PE header information in machine learning classi fiers, an efficient feature extraction method can be developed to minimize the time required for feature extraction and therefore improve the analysis process. The objective is to enhance extraction time while maintaining a reasonable balance with other parameters, such as execution time, accuracy, and f measure.	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Computer Science and Engineering(CSE), Islamic University of Technology(IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.title	An Efficient Feature Extraction Method For Static Malware Analysis Using PE Header Files	en_US
dc.type	Thesis	en_US