F
Frank C. Lin
Researcher at San Jose State University
Publications - 6
Citations - 78
Frank C. Lin is an academic researcher from San Jose State University. The author has contributed to research in topics: Algorithm design & Fault coverage. The author has an hindex of 6, co-authored 6 publications receiving 73 citations.
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Journal ArticleDOI
Profiling and accelerating string matching algorithms in three network content security applications
TL;DR: This work reviews typical algorithms and profiles their performance under various situations to study the influence of the number, the length, and the character distribution of the signatures on performance, and replaces their original algorithms with the most efficient ones in the profiling.
Journal ArticleDOI
Test coverage optimization for large code problems
Ying-Dar Lin,Chi-Heng Chou,Yuan-Cheng Lai,Tse-Yau Huang,Simon Chung,Jui-Tsun Hung,Frank C. Lin +6 more
TL;DR: Five algorithms were designed for reducing the size of test suites where two metrics, test's function reach ability and function's test intensity, were defined and the most efficient algorithm could reduce the cost (time) of a test suite down to 1.10%.
Proceedings ArticleDOI
Test Coverage Optimization for Large Code Problems
Ying-Dar Lin,Chi-Heng Chou,Yuan-Cheng Lai,Tse-Yau Huang,Simon Chung,Jui-Tsun Hung,Frank C. Lin +6 more
TL;DR: Five algorithms were designed for reducing the size of test suites where two metrics, test's function reach ability and function's test intensity, were defined and the most efficient algorithm could reduce the cost (time) of a test suite down to 1.10%.
Journal ArticleDOI
Extracting ambiguous sessions from real traffic with intrusion prevention systems
I-Wei Chen,Po-Ching Lin,Tsung-Huan Cheng,Chi-Chung Luo,Ying-Dar Lin,Yuan-Cheng Lai,Frank C. Lin +6 more
TL;DR: The key objective here is to design the ASE system to extract the traces as complete and pure as possible, which gives IPS developers resources for further analysis, and demonstrates that 95% of extracted sessions have low variation, and the average completeness/purity is around 80%.
Journal ArticleDOI
Embedded TaintTracker : Lightweight Run-Time Tracking of Taint Data against Buffer Overflow Attacks
TL;DR: A new taint-style system called Embedded TaintTracker is proposed to eliminate the overhead in the emulator and dynamic instrumentation by compressing a checking mechanism into the operating system (OS) kernel and moving the instrumentation from runtime to compilation time.