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ICDCS
2007
IEEE
13 years 10 months ago
Testing Security Properties of Protocol Implementations - a Machine Learning Based Approach
Security and reliability of network protocol implementations are essential for communication services. Most of the approaches for verifying security and reliability, such as forma...
Guoqiang Shu, David Lee
FORTE
2008
13 years 5 months ago
Detecting Communication Protocol Security Flaws by Formal Fuzz Testing and Machine Learning
Network-based fuzz testing has become an effective mechanism to ensure the security and reliability of communication protocol systems. However, fuzz testing is still conducted in a...
Guoqiang Shu, Yating Hsu, David Lee
TON
2010
167views more  TON 2010»
12 years 11 months ago
A Machine Learning Approach to TCP Throughput Prediction
TCP throughput prediction is an important capability in wide area overlay and multi-homed networks where multiple paths may exist between data sources and receivers. In this paper...
Mariyam Mirza, Joel Sommers, Paul Barford, Xiaojin...
SEKE
2007
Springer
13 years 10 months ago
An Approach to Software Testing of Machine Learning Applications
Some machine learning applications are intended to learn properties of data sets where the correct answers are not already known to human users. It is challenging to test such ML ...
Chris Murphy, Gail E. Kaiser, Marta Arias
IJNSEC
2008
146views more  IJNSEC 2008»
13 years 4 months ago
Formal Protocol Design of ESIKE Based on Authentication Tests
In this paper, we first present a concrete formal protocol design approach, which is based on authentication tests, to create an Efficient and Secure Internet Key Exchange (ESIKE)...
Rui Jiang, Aiqun Hu, Jianhua Li