Urban traffic congestion is still a major problem that causes delays, collisions, and wasteful use of resources. Conventional fixed-schedule systems, which frequently exacerbate problems at junctions, U-turns, and ped...
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Software's pervasive impact and increasing reliance in the era of digital transformation raise concerns about vulnerabilities, emphasizing the need for software security. Fuzzy testing is a dynamic analysis softwa...
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ISBN:
(纸本)9783031820724;9783031820731
Software's pervasive impact and increasing reliance in the era of digital transformation raise concerns about vulnerabilities, emphasizing the need for software security. Fuzzy testing is a dynamic analysis software testing technique that consists of feeding faulty input data to a System Under Test (SUT) and observing its behavior. Specifically regarding black-box RESTful API testing, recent literature has attempted to automate this technique using heuristics to perform the input search and using the HTTP response status codes for classification. However, most approaches do not keep track of code coverage, which is important to validate the solution. This work introduces a black-box RESTful API fuzzy testing tool that employs Reinforcement Learning (RL) for vulnerability detection. The fuzzer operates via the OpenAPI Specification (OAS) file and a scenarios file, which includes information to communicate with the SUT and the sequences of functionalities to test, respectively. To evaluate its effectiveness, the tool was tested on the Petstore API. The tool found a total of six unique vulnerabilities and achieved 55% code coverage.
This article examines the enhancement of power system network topology reconstruction algorithm using edge computing to increase intelligence and responsiveness of the power system. Through the implementation of an ed...
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The Real-Time Traffic Prediction and Optimization System may be described as enriched, spacious, algorithm-oriented, and designed to help contribute to the anti-symptomatic deprievement of increasingly congested urban...
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The rapid advancements in edge computing have opened new avenues for optimizing real-time controlsystems in maritime environments. Traditional centralized systems face challenges such as high latency, limited scalabi...
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The proposed design uses the 2×2 integration architecture as an array that is recovered to a T-resonator in order to access the Hilbert curve. In conjunction with a transmission line that has two air gaps, the re...
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Induction motors are essential in numerous industries for producing rotational motion and force. In variable-speed drive applications, these motors must offer a wide range of speed control and rapid torque response, e...
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The fusion of Artificial Intelligence (AI) and Machine Learning (ML) with distributed computing frameworks such as Fog computing, Cloud computing, and Edge computing is vital for shaping the future of digital technolo...
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This paper explores the intelligent path of asset recovery based on big data technology, aiming to enhance the accuracy and efficiency of financial crime tracking. By integrating data, extracting features, and optimiz...
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The Lyapunov drift-based scheduling algorithms control the queue length to stabilize the system and maximize the throughput for multi-resource multi-queue cloud/edge systems. However, these algorithms often ignore the...
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