Enhancement of malware detection technique

Tan, Ting Qian (2016) Enhancement of malware detection technique. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Recently, the number of malware has been growing exponentially. As the number of malware is growing rapidly and they can evade from detection, the difficulty in detecting malware becomes a crucial problem that is faced in the malware detection field. This problem leads to a need of an improved malware detection technique. Thus, the aim of this project is to enhance the malware detection technique. The objectives of this project are to identify the parameter for detecting malware attack and to enhance the malware detection technique. The methodology used to carry out the project involves seven main phases namely literature review phase, data collection phase, analysis phase, design phase, algorithm development phase, testing phase and documentation phase. The main processes involved are such as conducting research on malware detection, collecting network traffic data, analysing the network traffic data collected, designing the experiment and detection algorithm, testing the detection algorithm developed and doing the project documentation. In the end of the project, a detection algorithm that uses the detection parameters identified is developed. As the future works for this project, the detection algorithm may be developed to a more robust system and improved further to cover on the malware prevention.

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