RBNN: Memory-Efficient Reconfigurable Deep Binary Neural Network With IP Protection for Internet of Things

Qiu, Huming; Ma, Hua; Zhang, Zhi; Zheng, Yifeng; Fu, Anmin; Zhou, Pan; Gao, Yansong; Abbott, Derek; Al-Sarawi, Said F.

doi:10.1109/tcad.2022.3197499

Cited by 5 publications

(1 citation statement)

References 31 publications

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“…Terefore, industrial control protocols have become a common target for attackers to carry out network attacks. Conversely, industrial control protocols have also become the focus of defense against these attacks [4][5][6]. However, because of commercial and security factors, most industrial control protocol specifcations are not open to the public [7,8].…”

Section: Introductionmentioning

confidence: 99%

IMCSA: Providing Better Sequence Alignment Space for Industrial Control Protocol Reverse Engineering

Huang

et al. 2022

Security and Communication Networks

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Nowadays, with the wide application of industrial control facilities, industrial control protocol reverse engineering has significant security implications. The reverse method of industrial protocol based on sequence alignment is the current mainstream method because of its high accuracy. However, this method will incur a huge time overhead due to unnecessary alignments during the sequence alignment process. In this paper, we optimize the traditional sequence alignment method by combining the characteristics of industrial control protocols. We improve the frequent sequence mining algorithm, Apriori, to propose a more efficient Bag-of-Words generation algorithm for finding keywords. Then, we precluster the messages based on the generated Bag-of-Words to improve the similarity of the message within a cluster. Finally, we propose an industrial control protocol message preclustering model for sequence alignment, namely, IMCSA. We evaluate it over five industrial control protocols, and the results show that IMCSA can generate clusters with higher message similarity, which will greatly reduce the invalid alignments existing in the sequence alignment stage and ultimately improve the overall efficiency.

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