Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/54413
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dc.contributor.authorLow, Song Chuan.
dc.date.accessioned2013-06-20T02:44:45Z
dc.date.available2013-06-20T02:44:45Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10356/54413
dc.description.abstractMalicious software, referred to as malware, is one of the main threats on the Internet in the present day. Millions of hosts on the Internet are infected with malware, ranging from classic computer viruses to Internet worms and bot networks. A huge increase in the number of malware samples are collected by anti-virus vendors. In this project, malware data collection and analysis tools had been reviewed. A malware data report collection procedure has been successfully automated with CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart) evading technique when submitting malware data set to various malware analysis tools. The details design and implementation of the evading CAPTCHA technique for various malware analysis tools were presented in the report. Simulations on data collections were conducted to demonstrate the success of the technique implemented. After the reports are collected, pre-processing of the reports are needed to clean the data which is an important for data representation. The process of pre-processing reports includes junk characters removal such as hash code, long string of symbol and numbers, while keeping the rest of the information in each report. Other than report collection and pre-processing of reports, separation of the dataset into training and testing dataset is needed for building machine learning classifier in malware data analysis.en_US
dc.format.extent70 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleMalware data collection and analysisen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChen Lihuien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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