Open Source Fuzzing Tools


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Open Source Fuzzing Tools


Open Source Fuzzing Tools

Author: Noam Rathaus

language: en

Publisher: Elsevier

Release Date: 2011-04-18


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Fuzzing is often described as a “black box software testing technique. It works by automatically feeding a program multiple input iterations in an attempt to trigger an internal error indicative of a bug, and potentially crash it. Such program errors and crashes are indicative of the existence of a security vulnerability, which can later be researched and fixed. Fuzz testing is now making a transition from a hacker-grown tool to a commercial-grade product. There are many different types of applications that can be fuzzed, many different ways they can be fuzzed, and a variety of different problems that can be uncovered. There are also problems that arise during fuzzing; when is enough enough? These issues and many others are fully explored. Fuzzing is a fast-growing field with increasing commercial interest (7 vendors unveiled fuzzing products last year). Vendors today are looking for solutions to the ever increasing threat of vulnerabilities. Fuzzing looks for these vulnerabilities automatically, before they are known, and eliminates them before release. Software developers face an increasing demand to produce secure applications---and they are looking for any information to help them do that.

Open Source Fuzzing Tools


Open Source Fuzzing Tools

Author: Gadi Evron

language: en

Publisher:

Release Date: 2005*


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AI Tools for Protecting and Preventing Sophisticated Cyber Attacks


AI Tools for Protecting and Preventing Sophisticated Cyber Attacks

Author: Babulak, Eduard

language: en

Publisher: IGI Global

Release Date: 2023-08-10


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The ubiquity and pervasive access to internet resources 24/7 by anyone from anywhere is enabling access to endless professional, educational, technical, business, industrial, medical, and government resources worldwide. To guarantee internet integrity and availability with confidentiality, the provision of proper and effective cyber security is critical for any organization across the world. AI Tools for Protecting and Preventing Sophisticated Cyber Attacks illuminates the most effective and practical applications of artificial intelligence (AI) in securing critical cyber infrastructure and internet communities worldwide. The book presents a collection of selected peer-reviewed chapters addressing the most important issues, technical solutions, and future research directions in cyber security. Covering topics such as assessment metrics, information security, and toolkits, this premier reference source is an essential resource for cyber security experts, cyber systems administrators, IT experts, internet and computer network professionals, organizational leaders, students and educators of higher education, researchers, and academicians.