Greybox fuzzing based on ant colony algorithm
Web– We introduce a greybox fuzzing algorithm that learns new inputs to guide exploration toward optimal program execu-tions. – We implement this algorithm in a tool … WebB. Coverage-guide Greybox Fuzzing Coverage-guide greybox fuzzing is the most prevalent fuzzing scheme that aims to maximize the code coverage to find hidden bugs. AFL (American fuzzy lop) [36] is the state-of-the-art coverage-based greybox fuzzer, and many state-of-the-art greybox fuzzers [1, 2, 4, 37] are built on top of it.
Greybox fuzzing based on ant colony algorithm
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WebMar 28, 2024 · Ant colony optimization (ACO), also known as ant algorithm, is a probabilistic algorithm used to find the optimal path in the graph. It … Webcompared AFLGo with the undirected greybox fuzzer AFL into which AFLGo was implemented. Indeed, AFLGo can exercise the given set of targets 3 to 11 times faster than AFL for LibPNG and between 1.5 to 2 times faster for Binutils. Directed greybox fuzzing is effectively directed and efficiently complements symbolic execution-based directed fuzzing.
WebSep 16, 2024 · Coverage-based greybox fuzzing (CGF) is one of the most successful approaches for automated vulnerability detection. Given a seed file (as a sequence of bits), a CGF randomly flips, deletes or copies some bits to generate new files. CGF iteratively constructs (and fuzzes) a seed corpus by retaining those generated files which enhance … WebB. Stateful Coverage-based Greybox Fuzzing Recent works have paid more attentions to the problem that traditional CGF can not fuzz network protocol programs [17]. In order to solve the problem, some researchers proposed Stateful Coverage-based Greybox Fuzzing (SCGF) [7], [8], [9]. SCGF adds the states and messages information of the
WebMay 5, 2024 · Figure 2. Model-based grey-box fuzzing framework. At the stage of fuzzing, the test cases are generated based on the state machine and mutation, and the weights of seeds are adjusted by the code … WebGreybox Fuzzing¶. In the previous chapter, we have introduced mutation-based fuzzing, a technique that generates fuzz inputs by applying small mutations to given inputs.In this chapter, we show how to guide these …
WebFeb 1, 2024 · The main parameters of ant colony algorithm are the number \( M \) of ants, the pheromone volatilization factor \( \rho \), information heuristic factor \( \alpha \), expectation heuristic factor \( \beta \) and pheromone intensity factor \( Q \).In order to determine the optimal combination of the main parameters in the algorithm, a simple \( …
WebMar 12, 2024 · Coverage-based greybox fuzzing (CGF) has been widely studied and commonly used for software vulnerability detection. Existing CGF fuzzers fairly allocate execution time for each mutation operation to generate test cases. However, the fair-time-allocation strategy is revealed to be inefficient by our significant experimental observation … bonnie mays realtorWebMar 23, 2024 · This paper reviews the theory and applications of ant algorithms, new methods of discrete optimization based on the simulation of self-organized colony of biologic ants. The colony can be regarded as a multi-agent system where each agent is functioning independently by simple rules. Unlike the nearly primitive behavior of the … god cursed miriamWebThis article will propose a sample seed screening technology that uses ant colony algorithm to control gray box fuzzy test. By estimating the transition probability … god cursed kane in the bibleWebOur large-scale fuzzing experiment demonstrates the validity of our main hypothesis and the efficiency of regression greybox fuzzing. We conducted our experiments in a reproducible manner within Fuzzbench, an extensible fuzzer evaluation platform. Our experiments involved 3+ CPU-years worth of fuzzing campaigns and 20 bugs in 15 open … bonnie mcandrews hamburg new yorkWebMay 5, 2024 · Hence, the grey-box fuzzing based on the learned model from active automata learning is performed. Most of the protocol fuzzing tools only tackle the server … bonnie mays united real estate lexington kyWebApr 1, 2024 · Coverage-based Greybox Fuzzing (CGF) is a random testing approach that requires no program analysis. A new test is generated by slightly mutating a seed input. bonnie m brown girl in the ringWebGreybox fuzzers like AFL [13] can generate several orders of magnitude more inputs during the time that symbolic execution generates a single input, so greybox fuzzers can be used to develop lightweight directed fuzzers (e.g. [14], [15], [12], [16]). AFLGo [17] is the state-of-the-art directed greybox god cursed egypt