WebCenter for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor 43600, Malaysia ... Google Scholar [2] ... A hybrid deep learning model with self-improved optimization algorithm for detection of security attacks in IoT environment, Future Internet 14 (10) (2024) 301. WebNov 1, 2024 · A review on mobile threats and machine learning based detection approaches 2016 4th International Symposium on Digital Forensic and Security (ISDFS) …
Sensors Free Full-Text Cyber-Threat Detection System Using a …
WebJul 25, 2024 · Google Scholar Mohammed H. Almeshekah. 2015. Using Deception to Enhance Security: A Taxonomy, Model, and Novel Uses. Ph.D. Dissertation. Purdue University. Google Scholar Mohammed H. Almeshekah and Eugene H. Spafford. 2014b. Planning and integrating deception into computer security defenses. WebJan 14, 2024 · With the evolution of cybersecurity countermeasures, the threat landscape has also evolved, especially in malware from traditional file-based malware to … smart car pcv location
Stacking ensemble approach for DDoS attack detection in …
WebMay 5, 2024 · Security attacks are becoming more prevalent as cyber attackers exploit system vulnerabilities for financial gain. The resulting loss of revenue and reputation can … WebApr 7, 2024 · Industrial Internet of Things (IIoT) represents the expansion of the Internet of Things (IoT) in industrial sectors. It is designed to implicate embedded technologies in manufacturing fields to enhance their operations. However, IIoT involves some security vulnerabilities that are more damaging than those of IoT. Accordingly, Intrusion … WebJan 1, 2024 · A Cloud intrusion detection system is a combination of cloud, network, and host layers. The cloud layer provides a secure authentication into the demand-based access to a shared group or application programming interface (API). Similarly, it will create a bridge between existing IDS and hypervisors. smart car parking system using iot abstract