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Related papers: A Survey of Network Protocol Fuzzing: Model, Techn…

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Fuzz testing is a fundamental technique employed to identify vulnerabilities within software systems. However, the process can be protracted and resource-intensive, especially when confronted with extensive codebases. In this work, I…

Software Engineering · Computer Science 2024-12-12 Saket Upadhyay

TLS protocol is an essential part of secure Internet communication. In past, many attacks have been identified on the protocol. Most of these attacks are due to flaws in protocol implementation. The flaws are due to improper design and…

Networking and Internet Architecture · Computer Science 2019-02-21 Tarun Yadav , Koustav Sadhukhan

As the complexity of modern processors has increased over the years, developing effective verification strategies to identify bugs prior to manufacturing has become critical. Undiscovered micro-architectural bugs in processors can manifest…

The widespread adoption of microservices has fundamentally transformed how modern software systems are designed, deployed, operated and maintained. However, well-known microservice properties (e.g., dynamic scalability and decentralized…

Software Engineering · Computer Science 2026-03-04 Man Zhang , Tao Yue , Andrea Arcuri

Greybox protocol fuzzing is a random testing approach for stateful protocol implementations, where the input is protocol messages generated from mutations of seeds, and the search in the input space is driven by the feedback on coverage of…

Cryptography and Security · Computer Science 2026-02-26 Yu Wang , Yang Xiang , Chandra Thapa , Hajime Suzuki

Semantic understanding of programs has attracted great attention in the community. Inspired by recent successes of large language models (LLMs) in natural language understanding, tremendous progress has been made by treating programming…

Machine Learning · Computer Science 2023-06-13 Jianyu Zhao , Yuyang Rong , Yiwen Guo , Yifeng He , Hao Chen

In modern software development, vulnerability detection is crucial due to the inevitability of bugs and vulnerabilities in complex software systems. Effective detection and elimination of these vulnerabilities during the testing phase are…

Cryptography and Security · Computer Science 2025-09-29 Christopher Scherb , Luc Bryan Heitz , Hermann Grieder

Fuzz testing is a crucial component of software security assessment, yet its effectiveness heavily relies on valid fuzz drivers and diverse seed inputs. Recent advancements in Large Language Models (LLMs) offer transformative potential for…

Software Engineering · Computer Science 2025-03-04 Yiran Cheng , Hong Jin Kang , Lwin Khin Shar , Chaopeng Dong , Zhiqiang Shi , Shichao Lv , Limin Sun

The threat of attack faced by cyber-physical systems (CPSs), especially when they play a critical role in automating public infrastructure, has motivated research into a wide variety of attack defence mechanisms. Assessing their…

Cryptography and Security · Computer Science 2020-01-16 Yuqi Chen , Christopher M. Poskitt , Jun Sun , Sridhar Adepu , Fan Zhang

Network protocols are programs with inputs and outputs that follow predefined communication patterns to synchronize and exchange information. There are many protocols and each serves a different purpose, e.g., routing, transport, secure…

Cryptography and Security · Computer Science 2025-11-04 Max von Hippel

Distributed SDN (Software-Defined Networking) controllers have rapidly become an integral element of Wide Area Networks (WAN), particularly within SD-WAN, providing scalability and fault-tolerance for expansive network infrastructures.…

Cryptography and Security · Computer Science 2025-10-20 Jinwoo Kim , Minjae Seo , Eduard Marin , Seungsoo Lee , Jaehyun Nam , Seungwon Shin

How to search for bugs in 1,000 programs using a pre-existing fuzzer and a standard PC? We consider this problem and show that a well-designed strategy that determines which programs to fuzz and for how long can greatly impact the number of…

Cryptography and Security · Computer Science 2025-01-28 Ivica Nikolic , Racchit Jain

Taint-style vulnerabilities comprise a majority of fuzzer discovered program faults. These vulnerabilities usually manifest as memory access violations caused by tainted program input. Although fuzzers have helped uncover a majority of…

Cryptography and Security · Computer Science 2017-06-02 Bhargava Shastry , Federico Maggi , Fabian Yamaguchi , Konrad Rieck , Jean-Pierre Seifert

Deep Learning (DL) library bugs affect downstream DL applications, emphasizing the need for reliable systems. Generating valid input programs for fuzzing DL libraries is challenging due to the need for satisfying both language…

Software Engineering · Computer Science 2023-04-05 Yinlin Deng , Chunqiu Steven Xia , Chenyuan Yang , Shizhuo Dylan Zhang , Shujing Yang , Lingming Zhang

Storage systems are fundamental to modern computing infrastructures, yet ensuring their correctness remains challenging in practice. Despite decades of research on system testing, many storage-system failures (including durability,…

Software Engineering · Computer Science 2026-02-09 Ying Wang , Jiahui Chen , Dejun Jiang

The main purposes of this study are to distinguish the trends of research in publication exits for the utilisations of the fuzzy expert and knowledge-based systems that is done based on the classification of studies in the last decade. The…

Artificial Intelligence · Computer Science 2019-09-20 Mina Rajabi , Saeed Hossani , Fatemeh Dehghani

Testing-based methodologies like fuzzing are able to analyze complex software which is not amenable to traditional formal approaches like verification, model checking, and abstract interpretation. Despite enormous success at exposing…

Software Engineering · Computer Science 2019-04-17 Shaobo He , Michael Emmi , Gabriela Ciocarlie

Jailbreak vulnerabilities in Large Language Models (LLMs), which exploit meticulously crafted prompts to elicit content that violates service guidelines, have captured the attention of research communities. While model owners can defend…

Cryptography and Security · Computer Science 2024-04-16 Dongyu Yao , Jianshu Zhang , Ian G. Harris , Marcel Carlsson

Greybox fuzzing is a lightweight testing approach that effectively detects bugs and security vulnerabilities. However, greybox fuzzers randomly mutate program inputs to exercise new paths; this makes it challenging to cover code that is…

Cryptography and Security · Computer Science 2018-07-23 Valentin Wüstholz , Maria Christakis

Hardware-software leakage contracts have emerged as a formalism for specifying side-channel security guarantees of modern processors, yet verifying that a complex hardware design complies with its contract remains a major challenge. While…

Cryptography and Security · Computer Science 2025-11-18 Gideon Geier , Pariya Hajipour , Jan Reineke
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