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Titlebook: Information and Communications Security; 21st International C Jianying Zhou,Xiapu Luo,Zhen Xu Conference proceedings 2020 Springer Nature S

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Cloning Vulnerability Detection in Driver Layer of IoT Devicess, the detecting tool called RCVD is implemented based on the proposed method. Finally, the experimental results indicate that the method has a significant effect on detecting restructured cloning vulnerabilities. By this means, the Orange Pi and WisCam have been detected dozens of clone-caused vuln
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Road Context-Aware Intrusion Detection System for Autonomous Carsnomalous frames that substantially deviate from road context will be discerned as intrusions. We have built a prototype of RAIDS with neural networks, and done experiments on a Raspberry Pi with extensive datasets and meaningful intrusion cases. Evaluations show that RAIDS significantly outperforms
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HeteroUI: A Framework Based on Heterogeneous Information Network Embedding for User Identification it dataset r4.2 demonstrate that HeteroUI exhibits excellent performance in discovering user identities with the mean average precision reaching over 98%. Besides, HeteroUI has a certain contribution to inferring potential insiders in a multi-user and multi-domain environment.
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VulHunter: An Automated Vulnerability Detection System Based on Deep Learning and Bytecodeties in PHP software to evaluate the effectiveness of VulHunter. Experimental results show that VulHunter achieves more than 88% (SQL injection) and 95% (XSS) F1-measure when detecting a single type of vulnerability, as well as more than 90% F1-measure when detecting mixed types of vulnerabilities.
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