NDLI: An effective fuzz input generation method for protocol testing

Content Provider	IEEE Xplore Digital Library
Author	Ai-Fen Sui Wen Tang Jian Jun Hu Ming Zhu Li
Copyright Year	2011
Description	Author affiliation: Corporate Technology, Siemens Ltd. China, Wangjing Zhonghuan Nanlu, Chao yang District, P.O.Box 8543, Beijing 100102, China (Ai-Fen Sui; Wen Tang; Jian Jun Hu; Ming Zhu Li)
Abstract	Random fuzzer is a powerful tool to find vulnerabilities of protocol implementations. One important approach to generate test inputs uses regular expression, and the input may include all possible combinations of fundamental characters. Thus the number of test cases may be tremendous, and furthermore, equivalent strings may usually be generated. In this paper, an effective fuzz input generation method integrating random signal process and regular expression is proposed. Random signal processing technology helps to reduce equivalent inputs, and the regular expression method helps to cover as much special cases in input domain. By enlarging the distance between input cases, the method can reduce equivalent inputs dramatically, while at the same time cover as much special inputs. Protocol specific information element is also considered in the method.
Starting Page	728
Ending Page	731
File Size	81430
Page Count	4
File Format	PDF
ISBN	9781612843063
e-ISBN	9781612843070
DOI	10.1109/ICCT.2011.6157972
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-09-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protocols Testing Security Generators Subspace constraints Random sequences Signal processing
Content Type	Text
Resource Type	Article

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