9786202816519 - malware detection techniques using machine learning classifiers de lakshminarayanan, kritikashree; muthuswamy, sujithra (5 resultados)
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Taschenbuch. Condición: Neu. Malware Detection Techniques using Machine Learning Classifiers | Kritikashree Lakshminarayanan (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202816519 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]pr…eigu[dot]de | Anbieter: preigu.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Mobile devices have become an essential part of our daily life. The rising number of users invite hackers to develop malicious applications besides the security of sensitive data in mobile devices is taken lightly. Relying on curren…tly developed approaches is not sufficient, given that intelligent malware keeps modifying rapidly and thus becomes more difficult to detect. The main goal of the proposed framework intends to develop a machine learning based malware detection system on Android to detect malicious applications and to enhance security and privacy of smartphone users. This system exploits supervised machine learning techniques to distinguish between normal and malware applications. The app store markets and the ordinary users can access our detection system for malware detection through cloud service. 64 pp. Englisch.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Lakshminarayanan KritikashreeThis book is written by Dr.M.Sujithra MCA., M.Phil., Ph.D. from Department of Computing-Data Science and Krithikashree.L Final year MSc Software Systems from Coimbatore Inst…itute of Technology. Dr. Sujith.
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Mobile devices have become an essential part of our daily life. The rising number of users invite hackers to develop malicious applications besides the security of sensitive data in mobile devices is taken lightly. Relying on currently…developed approaches is not sufficient, given that intelligent malware keeps modifying rapidly and thus becomes more difficult to detect. The main goal of the proposed framework intends to develop a machine learning based malware detection system on Android to detect malicious applications and to enhance security and privacy of smartphone users. This system exploits supervised machine learning techniques to distinguish between normal and malware applications. The app store markets and the ordinary users can access our detection system for malware detection through cloud service.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mobile devices have become an essential part of our daily life. The rising number of users invite hackers to develop malicious applications besides the security of sensitive data in mobile devices is taken lightly. Relying on currently d…eveloped approaches is not sufficient, given that intelligent malware keeps modifying rapidly and thus becomes more difficult to detect. The main goal of the proposed framework intends to develop a machine learning based malware detection system on Android to detect malicious applications and to enhance security and privacy of smartphone users. This system exploits supervised machine learning techniques to distinguish between normal and malware applications. The app store markets and the ordinary users can access our detection system for malware detection through cloud service.
