Results 21 to 30 of about 118,924 (255)

Detecting the vulnerable plaque in patients [PDF]

Journal of Internal Medicine, 2015
AbstractAtherosclerosis is a systemic condition that eventually evolves into vulnerable plaques and cardiovascular events. Pathology studies reveal that rupture‐prone atherosclerotic plaques have a distinct morphology, namely a thin, inflamed fibrous cap covering a large lipidic and necrotic core.
I, Gonçalves, H, den Ruijter, M, Nahrendorf, G, Pasterkamp   +3 more
openaire   +2 more sources

Cross-Architecture Vulnerability Detection Combining Semantic and Attribute Feature [PDF]

Jisuanji kexue yu tansuo
Binary vulnerability detection plays an important role in the field of program security. In order to cope with large-scale vulnerability detection tasks, more and more neural network technologies have been applied to cross-architecture vulnerability ...
LI Kun, LI Bin, ZHU Wenjing, ZHOU Qinglei
doaj   +1 more source

Evaluation of Smart Contract Vulnerability Analysis Tools: A Domain-Specific Perspective

Information, 2023
With the widespread adoption of blockchain platforms across various decentralized applications, the smart contract’s vulnerabilities are continuously growing and evolving.
Bahareh Lashkari, Petr Musilek
doaj   +1 more source

Intravascular Detection of the Vulnerable Plaque [PDF]

Circulation: Cardiovascular Imaging, 2011
Coronary heart disease (CHD) remains the leading cause of death in the United States, and an estimated 1.4 million Americans have a heart attack each year. Over the past 2 decades, the concept of the “vulnerable plaque” (VP) being responsible for the majority of acute coronary syndromes (ACS) has become widely accepted.
William M, Suh, Arnold H, Seto, Ronan J P, Margey, Ignacio, Cruz-Gonzalez, Ik-Kyung, Jang   +4 more
openaire   +2 more sources

A New Approach to Web Application Security: Utilizing GPT Language Models for Source Code Inspection

Future Internet, 2023
Due to the proliferation of large language models (LLMs) and their widespread use in applications such as ChatGPT, there has been a significant increase in interest in AI over the past year.
Zoltán Szabó, Vilmos Bilicki
doaj   +1 more source

Automatically Seed Corpus and Fuzzing Executables Generation Using Test Framework

IEEE Access, 2022
Fuzzing is widely utilized as a practical test method to determine unknown vulnerabilities in software. Although fuzzing shows excellent results for code coverage and crash count, it is not easy to apply these effects to library fuzzing. A library cannot
Sanghoon Jeon, Minsoo Ryu, Dongyoung Kim, Huy Kang Kim   +3 more
doaj   +1 more source

Software Vulnerability Analysis and Discovery Using Deep Learning Techniques: A Survey

IEEE Access, 2020
Exploitable vulnerabilities in software have attracted tremendous attention in recent years because of their potentially high severity impact on computer security and information safety. Many vulnerability detection methods have been proposed to aid code
Peng Zeng, Guanjun Lin, Lei Pan, Yonghang Tai, Jun Zhang   +4 more
doaj   +1 more source

Detection of Wordpress Content Injection Vulnerability [PDF]

International Journal on Cybernetics & Informatics, 2017
The popularity of content management software (CMS) is growing vastly to the web developers and the business people because of its capacity for easy accessibility, manageability and usability of the distributed website contents. As per the statistics of Built with, 32% of the web applications are developed with WordPress(WP) among all other CMSs [1 ...
Md. Maruf Hassan, Kaushik Sarker, Saikat Biswas, Md. Hasan Sharif   +3 more
openaire   +2 more sources

Operation System Vulnerabilities Analysis Based on Code Clone Detection

Jisuanji kexue yu tansuo, 2021
Software vulnerability detection based on code clone detection technology is an important direction in the static analysis of software vulnerability. At present, the existing software vulnerability detection tools have deficie-ncies in the vulnerability ...
WANG Zhe, REN Yi, ZHOU Kai, GUAN Jianbo, TAN Yusong
doaj   +1 more source

EFFICIENT DEEP FEATURES LEARNING FOR VULNERABILITY DETECTION USING CHARACTER N- GRAM EMBEDDING

Jordanian Journal of Computers and Information Technology, 2021
Deep Learning (DL) techniques were successfully applied to solve challenging problems in the field of Natural Language Processing (NLP). Since source code and natural text share several similarities, it was possible to adopt text classification ...
Mamdouh Alenezi, Mohammed Zagane, Yasir Javed   +2 more
doaj   +1 more source