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Automatic Detection of Malicious Software NIIT Information Security Research Group (ISRG)

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dc.contributor.author Neelma Nadeem
dc.date.accessioned 2020-11-03T14:51:23Z
dc.date.available 2020-11-03T14:51:23Z
dc.date.issued 2007
dc.identifier.uri http://10.250.8.41:8080/xmlui/handle/123456789/9209
dc.description Supervisor: Dr. Fauzan Mirza en_US
dc.description.abstract There has been significant interest in malware since they first appeared in 1981 and especially in the past few years as they have outreached a large number of computer environments. Malware Threat is serious global problems that‟s causes productivity and time both to be wasted. Various Techniques are being used by the anti-virus companies to detect and remove malware but each technique has its own pros and cons. This report begins with a description of the current techniques used by anti-virus companies to detect malware. And then proposes a new technique by analyzing malware and benign software through reverse code engineering and develops a methodology to detect and classify malware from benign software based on the features that are distinct in malware. en_US
dc.publisher SEECS, National University of Sciences and Technology, Islamabad en_US
dc.subject Information Technology en_US
dc.title Automatic Detection of Malicious Software NIIT Information Security Research Group (ISRG) en_US
dc.type Thesis en_US


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