Results 101 to 110 of about 22,224 (372)
IEEE AccessFuzzing is a popular and effective software testing technique that automatically generates or modifies inputs to test the stability and vulnerabilities of a software system, which has been widely applied and improved by security researchers and experts ...
Van-Hau Pham +4 more
doaj +1 more source
Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs
Agribusiness, EarlyView.ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple +2 more
wiley +1 more source
ProphetFuzz: Fully Automated Prediction and Fuzzing of High-Risk Option Combinations with Only Documentation via Large Language Model [PDF]
Conference on Computer and Communications SecurityVulnerabilities related to option combinations pose a significant challenge in software security testing due to their vast search space. Previous research primarily addressed this challenge through mutation or filtering techniques, which inefficiently ...
Dawei Wang +4 more
semanticscholar +1 more source
DY Fuzzing: Formal Dolev-Yao Models Meet Cryptographic Protocol Fuzz Testing
IEEE Symposium on Security and PrivacyCritical and widely used cryptographic protocols have repeatedly been found to contain flaws in their design and their implementation. A prominent class of such vulnerabilities is logical attacks, e.g.
Max Ammann, L. Hirschi, Steve Kremer
semanticscholar +1 more source
Agribusiness, EarlyView.ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa +1 more
wiley +1 more source
Research on fuzzing method of stateful network protocol based on Q-learning algorithm
Dianzi Jishu Yingyong, 2020 For the current stateful network protocol fuzzing technology, the auxiliary type message repeated interaction affects the test efficiency and ensures the validity of the test case by inputting the corresponding test case according to the state of the ...
Jing Chen +3 more
doaj +1 more source
RANsacked: A Domain-Informed Approach for Fuzzing LTE and 5G RAN-Core Interfaces
Conference on Computer and Communications SecurityCellular network infrastructure serves as the backbone of modern mobile wireless communication. As such, cellular cores must be proactively secured against external threats to ensure reliable service. Compromised base station attacks against the core are
Nathaniel Bennett +6 more
semanticscholar +1 more source
Advanced Intelligent Discovery, EarlyView.Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
A Holistic Review of Fuzzing for Vulnerability Assessment in Industrial Network Protocols
IEEE Open Journal of the Communications SocietyIndustrial control systems (ICSs) are considered the backbone of the industry field due to their essential role in supervising and handling crucial manufacturing operations in critical infrastructures such as power grids, water supply systems, and ...
Ahmed Reda Aldysty +2 more
doaj +1 more source
Advanced Intelligent Discovery, EarlyView.Two‐photon polymerization enables high‐resolution microfabrication, but performing alignment when printing multiple structures is difficult. Here, we present a fast, robust, and open‐source protocol for automated alignment on Nanoscribe systems. Achieving ≈0.4 μm accuracy in under 5 s, our protocol reduces time and error in multimaterial printing. This
Daniel Maher +4 more
wiley +1 more source