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

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

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Bibliographic Details
Main Authors:	Madihah Mohd Saudi, Abuzaid A.M., Taib B.M., Abdullah Z.H.
Other Authors:	Universiti Sains Islam Malaysia (USIM)
Format:	Conference Paper
Language:	English en_US
Published:	Springer Verlag 2024
Subjects:	Malwares Trojan horse Detection Automated analysis Sequential minimal optimization (SMO) True positive rate False positive rate Machine learning Artificial intelligence Learning algorithms Learning systems Optimization Automated analysis False positive rates Sequential minimal optimization Sequential minimal optimization algorithms Trojan detections Trojan Horse attacks Trojan horse detection True positive rates Malware
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