000			01653nam a22001817a 4500
003			OSt
005			20220107122810.0
008			160328b xxu||||| |||| 00| 0 eng d
040			_c
100			_aMusfira P (93613019) _98710
245			_aNetwork analyzer - a method for detecting advanced persistent threat
502			_bMaster of Science in Computer Science and Information security _c2013-2015 _dEXT _eSabu M Thampi _fAnil Prabhakar (Professor) _g" IIT, Madras "
520			_aAdvanced Persistent Threat – Detection and Prevention is a project which spans around information security perspective in a web application scenario. A recent class of threats, known as Advanced Persistent Threats (APTs), has drawn increasing attention from researchers, primarily from the industrial security sector. APTs are cyber-attacks execute by sophisticated and well-resourced adversaries targeting specific information in high-profile companies and governments, usually in a long term campaign involving different steps. To a significant extent, the academic community has neglected the specificity of these threats and as such an objective approach to the APT issue is lacking. In this paper, we present the results of a comprehensive study on APT, characterizing its distinguishing characteristics and attack model, and analyzing techniques commonly seen in APT attacks. We also enumerate some non-conventional countermeasures that can help to mitigate APTs, hereby highlighting the directions for future research.
650			_aINFORMATION SYSTEMS _98711
650			_aSECURITY AND PRIVACY _98712
650			_aINFORMATION SECURITY _98713
942			_2ddc _cPR
999			_c5033 _d5033