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 |