Security Assessment for Cascading Failures of Cyber-Physical Systems Under Target Attack Strategy

Peng, Hao; Qian, Zhen; Kan, Zhe; Ye, Hongxia; Fang, Zian; Zhao, Dandan

doi:10.1007/978-981-15-9739-8_25

Cited by 1 publication

(1 citation statement)

References 13 publications

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“…Simultaneously, social networks face increasingly serious security threats and have become key targets of attacks on the Internet. In order to actualize the purpose of information exchange and public communication, people have the will and capacity to put their information in public on various social network websites [5]. Without privacy protection and corresponding technical awareness, the safe use of social network websites will not be guaranteed.…”

Section: (4) Providing Open Interfaces For Application Plug-in Develomentioning

confidence: 99%

A Security Log Analysis Scheme Using Deep Learning Algorithm for IDSs in Social Network

Zhong

Zhou

Chen

2021

Security and Communication Networks

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Due to the complexity of the social network server system, various system abnormalities may occur and in turn will lead to subsequent system failures and information losses. Thus, to monitor the system state and detect the system abnormalities are of great importance. As the system log contains valuable information and records the system operating status and users’ behaviors, log data in system abnormality detection and diagnosis can ensure system availability and reliability. This paper discloses a log analysis method based on deep learning for an intrusion detection system, which includes the following steps: preprocess the acquired logs of different types in the target system; perform log analysis on the preprocessed logs using a clustering-based method; then, encode the parsed log events into digital feature vectors; use LSTM-based neural network and log collect-based clustering methods to learn the encoded logs to form warning information; lastly, trace the source of the warning information to the corresponding component to determine the point of intrusion. The paper finally implements the proposed intrusion detection method in the server system, thereby improving the system’s security status.

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Section: (4) Providing Open Interfaces For Application Plug-in Develomentioning

confidence: 99%

A Security Log Analysis Scheme Using Deep Learning Algorithm for IDSs in Social Network

Zhong

Zhou

Chen

2021

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

Security Assessment for Cascading Failures of Cyber-Physical Systems Under Target Attack Strategy

Cited by 1 publication

References 13 publications

A Security Log Analysis Scheme Using Deep Learning Algorithm for IDSs in Social Network

A Security Log Analysis Scheme Using Deep Learning Algorithm for IDSs in Social Network

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