[HTML][HTML] Leveraging AI for Network Threat Detection—A Conceptual Overview
Network forensics is commonly used to identify and analyse evidence of any illegal or
unauthorised activity in a given network. The collected information can be used for …
unauthorised activity in a given network. The collected information can be used for …
Enhancing ECU identification security in CAN networks using distortion modeling and neural networks
A novel technique for electronic control unit (ECU) identification is proposed in this study to
address security vulnerabilities of the controller area network (CAN) protocol. The reliable …
address security vulnerabilities of the controller area network (CAN) protocol. The reliable …
Complex Proportional Assessment Based Neutrosophic Approach for Ransomware Detection in Cybersecurity IoT System.
LA Maghrabi - International Journal of Neutrosophic Science …, 2025 - search.ebscohost.com
A neutrosophic set (NS) is an advanced computational technique that accesses uncertain
information via three membership functions. A soft expert set (SES) is derived from the …
information via three membership functions. A soft expert set (SES) is derived from the …
ANALISIS PRILAKU DAN DAMPAK MALWARE RANSOMWARE LOCKY METODE DINAMIS FRAMEWORK FLAREVM
SI USMAN - 2024 - repository.nusaputra.ac.id
Malware ransomware locky merupakan malware yang sangat berbahaya dan malware
berpotensi mengenkripsi semua data korban yang penting dengan imbalan tebusan …
berpotensi mengenkripsi semua data korban yang penting dengan imbalan tebusan …