Artificial Intelligence
Design and Implementation of Entropy Based Artificially Immune Malware Detection System
Many Malware detection systems these days are using signature based techniques to detect malwares and viruses. The zero day or new infected files are not detected by these signature based Anti Viruses and their signature is generated only after they have done their damage. Hence it becomes very important for a user to constantly update the antivirus software. To overcome these problems, we have proposed a solution based on Artificial Intelligence techniques. So the clients will not require frequent updates and probability of detecting zero day infections will rise abruptly. This project is based on implementing data mining algorithms mainly C…
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Produktdetails
Weitere Autoren: Haseeb, Abdul / Bhatti, Muhammad Bilal
- ISBN: 978-3-8454-2999-1
- EAN: 9783845429991
- Produktnummer: 37798176
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2011
- Seitenangabe: 76 S.
- Masse: H22.0 cm x B15.0 cm x D0.5 cm 131 g
- Abbildungen: Paperback
- Gewicht: 131
Über den Autor
Graduated as a Computer Engineer from National University of Sciences and Technology, Pakistan in 2010. This research based project was my final year project which I completed with Abdul Haseeb and Muhammad Bilal Bhatti. Since graduating, I have been doing research in the field of Artificial Intelligence(AI) and also plan to do Masters in AI.
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