Analysis of Faults in an N-Version Software Experiment
IEEE Transactions on Software Engineering
Model checking
Modeling software design diversity: a review
ACM Computing Surveys (CSUR)
A new kind of science
Test Driven Development: By Example
Test Driven Development: By Example
CloudAV: N-version antivirus in the network cloud
SS'08 Proceedings of the 17th conference on Security symposium
Proceedings of the 4th ACM European conference on Computer systems
Tradeoffs in targeted fuzzing of cyber systems by defenders and attackers
Proceedings of the Seventh Annual Workshop on Cyber Security and Information Intelligence Research
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A method for assessing statistically quantifiable improvements in security for software vulnerabilities is presented. Drawing on concepts in complexity theory, undecidability, and previous work in high-reliability systems, we show that ensembles of similar implementations have statistical value even though each by itself is inscrutable. Research questions are identified that may allow practical application of these concepts.