A modified framework to detect keyloggers using machine learning algorithm-Reference-Cited by-同舟云学术

A modified framework to detect keyloggers using machine learning algorithm

Published:2018-09-03 Issue:4 Volume:11 Page:707-712
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Pillai Divyadev^ORCID,Siddavatam Irfan

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s41870-018-0237-6.pdf

Reference20 articles.

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3. Ul Haq I, Ali S, Khan H, Khayam SA, Jha S, Sommer R, Kreibich C (2010) Bait your hook: a novel detection technique for keyloggers: recent advances in intrusion detection. In: 13th international symposium, RAID 2010, pp 198–217

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5. Senf A, Chen X, Zhang A (2006) Comparison of one-class SVM and two-class SVM for fold recognition. In: 13th international conference on neural information processing, pp 140–149

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