A CNN-based automatic vulnerability detection
AbstractWith the advent of the Internet, the activities of individuals and businesses have expanded into the online realm. As a result, vulnerabilities that result in actual breaches can lead to data loss and program failure. The number of breaches is increasing every year, as is the number of vulnerabilities.
Junghyun An, Zhan Wang 0008, Inwhee Joe
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The Reality of Vulnerable Plaque Detection
It is proposed that the initial step in the process leading directly to coronary thrombosis is the development, with advancing age, of what can be termed a “vulnerable atherosclerotic plaque.” —Muller et al.
Gregg W, Stone +2 more
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Vulnerabilities Detection by Matching with known Vulnerabilities
Vulnerability Matcher is a tool designed to identify and prioritize security vulnerabilities in software systems. This intelligent system leverages advanced machine learning algorithms to analyze and match identified vulnerabilities with known security threats and exploits.
Precious Jeo John, Sumit Surendran
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Intracoronary Imaging in the Detection of Vulnerable Plaques [PDF]
Coronary artery disease is the result of atherosclerotic changes to the coronary arterial wall, comprising endothelial dysfunction, vascular inflammation and deposition of lipid-rich macrophage foam cells. Certain high-risk atherosclerotic plaques are vulnerable to disruption, leading to rupture, thrombosis and the clinical sequelae of acute coronary ...
Batty, Jonathan A. +5 more
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Automated detection of session fixation vulnerabilities [PDF]
Session fixation is a technique for obtaining the visitor's session identifier (SID) by forcing the visitor to use the SID supplied by the attacker. The attacker who obtains the victim's SID can masquerade as the visitor. In this paper, we propose a technique to automatically detect session fixation vulnerabilities in web applications.
Yusuke Takamatsu +2 more
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Enhancing Security of Web-Based IoT Services via XSS Vulnerability Detection. [PDF]
Kim J, Park J.
europepmc +1 more source
Multi-Objective Seagull Optimization Algorithm with Deep Learning-Enabled Vulnerability Detection for Secure Cloud Environments. [PDF]
Aljebreen M +5 more
europepmc +1 more source
iDetect for vulnerability detection in internet of things operating systems using machine learning. [PDF]
Al-Boghdady A, El-Ramly M, Wassif K.
europepmc +1 more source
A new method of software vulnerability detection based on a quantum neural network. [PDF]
Zhou X +9 more
europepmc +1 more source
SPCBIG-EC: A Robust Serial Hybrid Model for Smart Contract Vulnerability Detection. [PDF]
Zhang L +7 more
europepmc +1 more source

