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References (3)
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K. Tsipenyuk, B. Chess, G. McGraw (2005)
Seven pernicious kingdoms: A taxonomy of software security errorsIEEE Secur. Priv., 3
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V. Pothamsetty, B.A. Akyol (2004)
Communications, Internet, and Information Technology, IASTED/ACTA Press -
S. Whalen, M. Bishop, S. Engle (2005)
Protocol Vulnerability Analysis
- Publisher
- Springer Journals
- Copyright
- Copyright © 2015 by Allerton Press, Inc.
- Subject
- Computer Science; Control Structures and Microprogramming
- ISSN
- 0146-4116
- eISSN
- 1558-108X
- DOI
- 10.3103/S0146411615080325
- Publisher site
- See Article on Publisher Site
Abstract
Currently, fuzzing is one of the most popular methods of revealing security problems of programs, information systems, network protocols, and web resources. A formal description of network protocols as a set of the processes of switching between states has been proposed, as well as an approach to fuzzing process modeling that allows one to detect network protocol vulnerabilities based on input data generation and the analysis of network protocol process states.
Journal
Automatic Control and Computer Sciences – Springer Journals
Published: Jan 28, 2016