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190808s2019 my eng |
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|a FIK0013 2019
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|a FIK0013 2019
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|a Muhamad Amirul Amin Ismail ,
|e author
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|a Gender Classification Based On Mouse Movement Activity On Computer
|c Muhamad Amirul Amin Ismail
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|c 2019
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|a 43 leaves :
|b .illustration (some color) ;
|c 30cm.
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|a Project report (Bachelor of Computer Science in Computer Network Security) - Universiti Sultan Zainal Abidin, 2019
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|a Includes bibliographical references
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|a 1. Introduction -- 2. Literature Review -- 3. Methodology -- 4. Result and Discussion -- 5. Conclusion and future works
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|a In this modernized world, technology skills or computer skills are being taught
and polished to the new generation as it is a requirement to live a life in this new lifestyle
in this coming days. From a simple skill such as the word editing skillto a complex level
like a programming coding, people are being taught to allow them to make use of this
knowledge for their own livings. In May 2018, the Malaysia National Cyber Security
Agency (NCSA) detected a significant growth of cyber threat attempt focusing on a few
organisation in Malaysia as reported by the Berita Harian Newspaper. This uprising
shows that there are many hackers out there making it too hard to identify. This project is
to classify gender based on the data we have obtained through the mouse activity on
computer. This project will be carried out by classifying data from computer in WEKA analysing tool.
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|a Universiti Sultan Zainal Abidin
|x Project report
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|a Neural networks (Computer science)
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|a Universiti Sultan Zainal Abidin .
|b Fakulti of Informatics
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|a 1000176716
|b Project Report
|c Reference
|e Tembila Campus
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