000			nam a22 4500
999			_c33132 _d33132
008			240314b xxu||||| |||| 00| 0 eng d
020			_a9781718503304
082			_a005.88 _bHAN
100			_aHan, Qian
245			_aThe android malware handbook : manual analysis and ML-based detection
260			_bNo starch Press, _c2023 _aSan Francisco :
300			_axxvi, 298 p. ; _bill. (some b & w), _c24 cm.
365			_b49.99 _c$ _d86.30
504			_aIncludes index.
520			_aExplores the history of Android attacks and covers static and dynamic approaches to analyzing real malware specimens, machine-learning techniques to detect malicious apps, and how to identify banking trojans, ransomware, and SMS fraud.
650			_aAndroid
650			_aXGBoost
650			_aWireshark
650			_aUses-permission
650			_aTwo-factor authentication
650			_aSpyware
650			_aRooting malware
650			_aReverse engineers
650			_aRansomware
650			_aPrivilege escalation
650			_aManifest file
650			_aJSON
650			_aJavaScript
650			_aDecision tree
650			_aCommand-and-control server
650			_aClick fraud
650			_aAPI package
650			_aMalware
650			_aSecurity measure
700			_aMandujano, Salvador
700			_aPorst, Sebastian
700			_aSubrahmanian, V. S.
700			_aTetali, Sai Deep
700			_aXiong, Yanhai
942			_2ddc _cBK