Results 1 to 10 of about 529 (109)
Automated Vulnerability Discovery and Exploitation in the Internet of Things [PDF]
Sensors, 2019 Recently, automated software vulnerability detection and exploitation in Internet of Things (IoT) has attracted more and more attention, due to IoT’s fast adoption and high social impact. However, the task is challenging and the solutions are non-trivial:
Tong Liu, Wei Shi, Zhihong Tian
exaly +6 more sources
A Survey of Security Vulnerability Analysis, Discovery, Detection, and Mitigation on IoT Devices
Future Internet, 2020 With the prosperity of the Internet of Things (IoT) industry environment, the variety and quantity of IoT devices have grown rapidly. IoT devices have been widely used in smart homes, smart wear, smart manufacturing, smart cars, smart medical care, and ...
Miao Yu, Jianwei Zhuge, Zhiwei Shi
exaly +3 more sources
Vulnerability Discovery Modelling With Vulnerability Severity [PDF]
2019 IEEE Conference on Information and Communication Technology, 2019 Web browsers are primary targets of attacks because of their extensive uses and the fact that they interact with sensitive data. Vulnerabilities present in a web browser can pose serious risk to millions of users. Thus, it is pertinent to address these vulnerabilities to provide adequate protection for personally identifiable information. Research done
Basel Katt +2 more
exaly +2 more sources
An Empirical Methodology to Evaluate Vulnerability Discovery Models [PDF]
IEEE Transactions on Software Engineering, 2014 Vulnerability discovery models (VDMs) operate on known vulnerability data to estimate the total number of vulnerabilities that will be reported after a software is released. VDMs have been proposed by industry and academia, but there has been no systematic independent evaluation by researchers who are not model proponents.
Fabio Massacci, Viet Hung Nguyen
exaly +4 more sources
Pattern-Based Vulnerability Discovery [PDF]
, 2022 With our increasing reliance on the correct functioning of computer systems, identifying and eliminating vulnerabilities in program code is gaining in importance. To date, the vast majority of these flaws are found by tedious manual auditing of code conducted by experienced security analysts.
Yamaguchi, Fabian +6 more
openaire +3 more sources
Featherweight assisted vulnerability discovery
Information and Software Technology, 2022 17 pages, 6 figures, 6 ...
Dave W. Binkley +2 more
openaire +3 more sources
Function Level Code Vulnerability Detection Method of Graph Neural Network Based on Extended AST [PDF]
Jisuanji kexue, 2023 With the increase of software vulnerabilities year by year,security problems are becoming more and more serious.Vulnerability detection of original code in the delivery stage of software project can effectively avoid security vulnerabilities in later run-
GU Shouke, CHEN Wen
doaj +1 more source
SATFuzz: A Stateful Network Protocol Fuzzing Framework from a Novel Perspective
Applied Sciences, 2022 Stateful network protocol fuzzing is one of the essential means for ensuring network communication security. However, the existing methods have problems, including frequent auxiliary message interaction, no in-depth state-space exploration, and high ...
Zulie Pan +4 more
doaj +1 more source
ObFuzzer: Object-Oriented Hybrid Fuzzer for Binaries
Applied Sciences, 2022 In recent years, coverage-guided technology has become the mainstream method of fuzzing. A coverage-guided fuzzer can guide a program to a new path (edge) so that previously untested code can be tested. As coverage-guided fuzzers have become more popular,
Xinglu He, Pengfei Wang, Kai Lu, Xu Zhou
doaj +1 more source
Applied Sciences, 2022 Symbolic execution is well known as a dynamic vulnerability discovery technique. Its greatest advantage is the capability to analyze the execution information of the program and to explore the path in the program deterministically.
Xinglu He, Pengfei Wang, Kai Lu, Xu Zhou
doaj +1 more source