A Security Situation Awareness System based on Wide &amp; Deep

Zhang, Peng; Han, Xiao; Zhang, Daojuan; Qian, Kexiang; Xiong, Shenduo

doi:10.1109/ccis.2018.8691189

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…Fang Lan et al [24] proposed a knowledge discovery-based framework for CSSA based on security alert events. P. Zhang et al [25] constructed a CSSA model with a distributed cluster approach. P. Xiao et al [26] have adopted the BP neural algorithm optimized based on mind evolutionary algorithm (MEA) to predict the network security state.…”

Section: Introductionmentioning

confidence: 99%

New Security State Awareness Model for IoT Devices With Edge Intelligence

Lei¹,

Wen²,

Hou³

et al. 2021

IEEE Access

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Edge computing has become one of the most critical technologies in the Internet of Things (IoT), which is vulnerable to be hacked itself due to its closing to the terminals' wide variety of applications and digital assets. Aiming to find a new paradigm for cybersecurity based on edge computing at the device level, we leverage the storage, communication, and computational capabilities of edge computing devices to acquire and transform the massive amounts of data generated during work into the states. Through the analysis of the states, the security threats of the edge computing device can be identified. Based on the complex network theory, a security state awareness model is established, which can accurately indicate a device's current security state, be aware of the attack behavior, and perform protection methods.

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Section: Introductionmentioning

confidence: 99%