Results 31 to 40 of about 780 (210)

Bare-Metal Firmware Fuzzing: A Survey of Techniques and Approaches

IEEE Access
Firmware attacks are increasingly prevalent, often serving as low-hanging fruit for attackers due to the challenges of firmware security analysis. The complexity of hardware systems, platform diversity, peripheral interactions, and asynchronous events ...
Asmita Asmita, Ryan Tsang, Sujan Ghimire, Soheil Salehi, Houman Homayoun   +4 more
doaj   +1 more source

Harnessing Ultrafast Optical Pulses for 3D Microfabrication by Selective Tweezing and Immobilization of Colloidal Particles in an Integrated System

Advanced Photonics Research, Volume 6, Issue 5, May 2025.
Microfabrication using nano‐ to micron‐sized blocks has transformative potential for next‐gen electronics, optoelectronics, and materials. Traditional methods are limited by scalability and precision. STIC, a single‐laser system for precise colloid manipulation and immobilization using femtosecond lasers, is introduced that enables efficient 3D ...
Krishangi Krishna, Jieliyue Sun, Wenyu Liu, Robert H. Hurt, Kimani C. Toussaint Jr.   +4 more
wiley   +1 more source

On the Challenges and Opportunities of Fuzzing via Large Language Models: A Review

Applied Sciences
Fuzzing is an important automated testing technique for discovering vulnerabilities and abnormal software behavior, but conventional and pre-LLM learning-based approaches often struggle with strict validity constraints, limited semantic understanding ...
Yiqing Sun, Villads H. Andersen, Gaurav Choudhary, Nicola Dragoni   +3 more
doaj   +1 more source

Fuzzing With Optimized Grammar-Aware Mutation Strategies

IEEE Access, 2021
Fuzzing is a widely used technique to discover vulnerabilities in software. However, for programs requiring highly structured inputs, the byte-based mutation strategies in existing fuzzers have difficulties in generating valid inputs.
Jiale Deng, Xiaogang Zhu, Xi Xiao, Sheng Wen, Qing Li, Shutao Xia   +5 more
doaj   +1 more source

A State‐Adaptive Koopman Control Framework for Real‐Time Deformable Tool Manipulation in Robotic Environmental Swabbing

Advanced Robotics Research, EarlyView.
This work presents a state‐adaptive Koopman linear quadratic regulator framework for real‐time manipulation of a deformable swab tool in robotic environmental sampling. By combining Koopman linearization, tactile sensing, and centroid‐based force regulation, the system maintains stable contact forces and high coverage across flat and inclined surfaces.
Siavash Mahmoudi, Amirreza Davar, Dongyi Wang   +2 more
wiley   +1 more source

PTfuzz: Guided Fuzzing With Processor Trace Feedback

IEEE Access, 2018
Greybox fuzzing, such as american fuzzy lop (AFL), is very efficient in finding software vulnerability, which makes it the state-of-the-art fuzzing technology.
Gen Zhang, Xu Zhou, Yingqi Luo, Xugang Wu, Erxue Min   +4 more
doaj   +1 more source

Efficient and Robust Standing Postures of Quadruped Robots

Advanced Robotics Research, EarlyView.
A calibrated static framework estimates load, optimizes torques, and adapts posture so quadruped robots stand efficiently and robustly under external payloads, achieving up to 50% lower torque demand. Inspired by the natural posture adjustments of animals under external loading, this article presents an optimization‐based framework for minimizing joint
Mohamad Kanaan, Hamza Jomaa, Jack Challita, Kawthar Zaidan, Riad Saab, Hussein Hussein   +5 more
wiley   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Machine Learning-Based Fuzz Testing Techniques: A Survey

IEEE Access
Fuzz testing is a vulnerability discovery technique that tests the robustness of target programs by providing them with unconventional data. With the rapid increase in software quantity, scale and complexity, traditional fuzzing has revealed issues such ...
Ao Zhang, Yiying Zhang, Yao Xu, Cong Wang, Siwei Li   +4 more
doaj   +1 more source

Keyword Sensitive Fuzzing Method for Embedded Device Firmware [PDF]

Jisuanji kexue
The firmware of most embedded devices provides a Web interface,which is convenient for the users to configure and manage the devices.However,the security problems of these Web interfaces usually bring challenges to the security of embedded devices ...
SI Jianpeng, HONG Zheng, ZHOU Zhenji, CHEN Qian, LI Tao
doaj   +1 more source