Designing a new model for Trojan horse detection using sequential minimal optimization

• المؤلفون الرئيسيون: M.M., Saudi, A.M., Abuzaid, B.M., Taib, Z.H., Abdullah
• التنسيق: Conference Paper
• اللغة: en_US
• منشور في: Springer Verlag 2015
• الموضوعات: Artificial intelligence; Learning algorithms; Learning systems; Optimization; Error detection; Automated analysis; False positive rates; Sequential minimal optimization; Sequential minimal optimization algorithms; Trojan detections; Trojan Horse attacks; Trojan horse detection; True positive rates; Malwares; Trojan horse; Malware
• الوصول للمادة أونلاين: http://ddms.usim.edu.my/handle/123456789/9177

Malwares attack such as by the worm, virus, trojan horse and botnet have caused lots of troublesome for many organisations and users which lead to the cybercrime. Living in a cyber world, being infected by these malwares becoming more common. Nowadays the malwares attack especially by the trojan hor...