activity
20172022
most citedDeep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities

52 citations · 178 across the 17 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.DC2020

Prediction of High-Performance Computing Input/Output Variability and Its Application to Optimization for System Configurations

Li Xu, Thomas Lux, Tyler Chang +6

Performance variability is an important measure for a reliable high performance computing (HPC) system. Performance variability is affected by complicated interactions between nume…

cs.CR2020★ 3 cited

Coding Practices and Recommendations of Spring Security for Enterprise Applications

Mazharul Islam, Sazzadur Rahaman, Na Meng +4

Spring security is tremendously popular among practitioners for its ease of use to secure enterprise applications. In this paper, we study the application framework misconfiguratio…

cs.SE2020★ 2 cited

Industrial Experience of Finding Cryptographic Vulnerabilities in Large-scale Codebases

Ya Xiao, Yang Zhao, Nicholas Allen +4

Enterprise environment often screens large-scale (millions of lines of code) codebases with static analysis tools to find bugs and vulnerabilities. Parfait is a static code analysi…

cs.CR2020★ 52 cited

Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities

Yuan Luo, Ya Xiao, Long Cheng +2

Anomaly detection is crucial to ensure the security of cyber-physical systems (CPS). However, due to the increasing complexity of CPSs and more sophisticated attacks, conventional…

cs.CR2020★ 11 cited

Security Certification in Payment Card Industry: Testbeds, Measurements, and Recommendations

Sazzadur Rahaman, Gang Wang, Danfeng +1

The massive payment card industry (PCI) involves various entities such as merchants, issuer banks, acquirer banks, and card brands. Ensuring security for all entities that process…