With the rapid increase in Internet of Things (IoT) devices, the frequency of attacking on them has also risen. and access the network with virus, which bring a great burden to the network. As many devices lack robust security measures and access the network with virus, they bring a great burden to the network. This paper introduces a system for detecting IoT device firmware security issues using static analysis technology. This system is designed to automatically analyze the firmware of IoT devices and identify potential vulnerabilities by cross-referencing known Common Vulnerabilities & Exposures (CVE) and scanning the source code.
KEYWORDS: Video surveillance, Databases, Information security, Telecommunications, Design and modelling, Computer security, Video, Surveillance systems, Surveillance, Process modeling
Recently, video surveillance system network security incidents have occurred frequently, all communication levels of video surveillance systems face severe information security risks and have many vulnerabilities. So, a vulnerability scanning system of video surveillance device is proposed. This paper presents the architecture of vulnerability scanning system, describes the process of detection model, research on the verification of vulnerability, and finally carries out an experiment of the vulnerability scanning system.
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