Results 21 to 30 of about 372,889 (280)
SAFE: Self-Attentive Function Embeddings for Binary Similarity [PDF]
, 2019 The binary similarity problem consists in determining if two functions are similar by only considering their compiled form. Advanced techniques for binary similarity recently gained momentum as they can be applied in several fields, such as copyright ...
Baldoni, Roberto +4 more
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Cross-Architecture Vulnerability Detection Combining Semantic and Attribute Feature [PDF]
Jisuanji kexue yu tansuoBinary 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
Robust semicoherent searches for continuous gravitational waves with noise and signal models including hours to days long transients [PDF]
, 2016 The vulnerability to single-detector instrumental artifacts in standard detection methods for long-duration quasimonochromatic gravitational waves from nonaxisymmetric rotating neutron stars [continuous waves (CWs)] was addressed in past work [D.
Keitel, David
core +3 more sources
Configuration Fuzzing for Software Vulnerability Detection [PDF]
2010 International Conference on Availability, Reliability and Security, 2010 Many software security vulnerabilities only reveal themselves under certain conditions, i.e., particular configurations of the software together with its particular runtime environment. One approach to detecting these vulnerabilities is fuzz testing, which feeds a range of randomly modified inputs to a software application while monitoring it for ...
Dai, Huning +2 more
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Escrow: A large-scale web vulnerability assessment tool [PDF]
, 2014 The reliance on Web applications has increased rapidly over the years. At the same time, the quantity and impact of application security vulnerabilities have grown as well.
Delamore, Baden, Ko, Ryan K.L.
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A taxonomy of malicious traffic for intrusion detection systems [PDF]
, 2018 With the increasing number of network threats it is essential to have a knowledge of existing and new network threats to design better intrusion detection systems.
Atkinson, Robert +5 more
core +4 more sources
CBGRU: A Detection Method of Smart Contract Vulnerability Based on a Hybrid Model
Sensors, 2022 In the context of the rapid development of blockchain technology, smart contracts have also been widely used in the Internet of Things, finance, healthcare, and other fields.
Lejun Zhang +6 more
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PreNNsem: A Heterogeneous Ensemble Learning Framework for Vulnerability Detection in Software
Applied Sciences, 2020 Automated vulnerability detection is one of the critical issues in the realm of software security. Existing solutions to this problem are mostly based on features that are defined by human experts and directly lead to missed potential vulnerability. Deep
Lu Wang +5 more
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Detecting C Program Vulnerabilities
Proceedings of the Spring/Summer Young Researchers' Colloquium on Software Engineering, 2011 C/C++ language is widely used for developing tools in various applications, in particular, software tools for critical systems are often written in C language. Therefore, the security of such software should be thoroughly tested, i.e., the absence of vulnerabilities has to be confirmed.
Anton, Ermakov, Natalia, Kushik
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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 +3 more
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