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Fuzzing is utilized for testing software and systems for cybersecurity risk via the automated adaptation of inputs. It facilitates the identification of software bugs and misconfigurations that may create vulnerabilities, cause abnormal…

Cryptography and Security · Computer Science 2023-06-08 Jack Hance , Jeremy Straub

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…

Softwarization and virtualization in 5G and beyond necessitate thorough testing to ensure the security of critical infrastructure and networks, requiring the identification of vulnerabilities and unintended emergent behaviors from protocol…

Cryptography and Security · Computer Science 2023-07-24 Jingda Yang , Sudhanshu Arya , Ying Wang

Recent research has shown that hardware fuzzers can effectively detect security vulnerabilities in modern processors. However, existing hardware fuzzers do not fuzz well the hard-to-reach design spaces. Consequently, these fuzzers cannot…

Cryptography and Security · Computer Science 2023-06-27 Chen Chen , Rahul Kande , Nathan Nguyen , Flemming Andersen , Aakash Tyagi , Ahmad-Reza Sadeghi , Jeyavijayan Rajendran

In the evolving landscape of integrated circuit (IC) design, the increasing complexity of modern processors and intellectual property (IP) cores has introduced new challenges in ensuring design correctness and security. The recent…

Cryptography and Security · Computer Science 2025-11-07 Raghul Saravanan , Sudipta Paria , Aritra Dasgupta , Venkat Nitin Patnala , Swarup Bhunia , Sai Manoj P D

Fuzzing is a widely used software security testing technique that is designed to identify vulnerabilities in systems by providing invalid or unexpected input. Continuous fuzzing systems like OSS-FUZZ have been successful in finding security…

Cryptography and Security · Computer Science 2023-07-04 Chaitanya Rahalkar

Ever-increasing design complexity of System-on-Chips (SoCs) led to significant verification challenges. Unlike software, bugs in hardware design are vigorous and eternal i.e., once the hardware is fabricated, it cannot be repaired with any…

Hardware Architecture · Computer Science 2025-12-11 Deepak Narayan Gadde , Aman Kumar , Djones Lettnin , Sebastian Simon

Modern computing systems heavily rely on hardware as the root of trust. However, their increasing complexity has given rise to security-critical vulnerabilities that cross-layer at-tacks can exploit. Traditional hardware vulnerability…

Software Engineering · Computer Science 2024-04-11 Mohamadreza Rostami , Marco Chilese , Shaza Zeitouni , Rahul Kande , Jeyavijayan Rajendran , Ahmad-Reza Sadeghi

Firmware serves as the critical interface between hardware and software in computing systems, making any bugs or vulnerabilities particularly dangerous as they can cause catastrophic system failures. While fuzzing is a promising approach…

Cryptography and Security · Computer Science 2026-02-03 Dakshina Tharindu , Aruna Jayasena , Prabhat Mishra

Fuzzing has emerged as a powerful technique for finding security bugs in complicated real-world applications. American fuzzy lop (AFL), a leading fuzzing tool, has demonstrated its powerful bug finding ability through a vast number of…

Cryptography and Security · Computer Science 2023-07-06 Tai D. Nguyen , Long H. Pham , Jun Sun

The increasing complexity of modern processors poses many challenges to existing hardware verification tools and methodologies for detecting security-critical bugs. Recent attacks on processors have shown the fatal consequences of…

Cryptography and Security · Computer Science 2022-01-26 Aakash Tyagi , Addison Crump , Ahmad-Reza Sadeghi , Garrett Persyn , Jeyavijayan Rajendran , Patrick Jauernig , Rahul Kande

Modern processor advancements have introduced security risks, particularly in the form of microarchitectural timing attacks. High-profile attacks such as Meltdown and Spectre have revealed critical flaws, compromising the entire system's…

Cryptography and Security · Computer Science 2024-10-23 Congcong Chen , Jinhua Cui , Jiliang Zhang

Binary-only fuzzing often struggles with achieving thorough code coverage and uncovering hidden vulnerabilities due to limited insight into a program's internal dataflows. Traditional grey-box fuzzers guide test case generation primarily…

Software Engineering · Computer Science 2025-09-08 Kai Feng , Jeremy Singer , Angelos K Marnerides

In recent years, fuzzing has been widely applied not only to application software but also to system software, including the Linux kernel and firmware, and has become a powerful technique for vulnerability discovery. Among these approaches,…

Cryptography and Security · Computer Science 2026-03-27 Masami Ichikawa

Processor designs rely on iterative modifications and reuse well-established designs. However, this reuse of prior designs also leads to similar vulnerabilities across multiple processors. As processors grow increasingly complex with…

Cryptography and Security · Computer Science 2025-12-09 Chen Chen , Zaiyan Xu , Mohamadreza Rostami , David Liu , Dileep Kalathil , Ahmad-Reza Sadeghi , Jeyavijayan Rajendran

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

GPUs have gained significant popularity over the past decade, extending beyond their original role in graphics rendering. This evolution has brought GPU security and reliability to the forefront of concerns. Prior research has shown that…

Cryptography and Security · Computer Science 2026-01-06 Saurabh Singh , Ruobing Han , Jaewon Lee , Seonjin Na , Yonghae Kim , Taesoo Kim , Hyesoon Kim

Protocol fuzzing is a scalable and cost-effective technique for identifying security vulnerabilities in deployed Internet of Things devices. During their operational phase, IoT devices often run lightweight servers to handle user…

Cryptography and Security · Computer Science 2025-09-12 Priyanka Rushikesh Chaudhary , Rajib Ranjan Maiti

Modern hardware systems, driven by demands for high performance and application-specific functionality, have grown increasingly complex, introducing large surfaces for bugs and security-critical vulnerabilities. Fuzzing has emerged as a…

Cryptography and Security · Computer Science 2025-12-29 Lichao Wu , Mohamadreza Rostami , Huimin Li , Nikhilesh Singh , Ahmad-Reza Sadeghi

Timing vulnerabilities in processors have emerged as a potent threat. As processors are the foundation of any computing system, identifying these flaws is imperative. Recently fuzzing techniques, traditionally used for detecting software…

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