Results 11 to 20 of about 118,924 (255)
Data on Vulnerability Detection in Android. [PDF]
Data Brief, 2019 The data in this article have been collaborated from mainly four sources- Google Playstore, Wandoujia (third party app store market), AMD and Androzoo. These data include ~85,000 APKs (Android Package Kit), both malicious and benign from these data sources.
Garg S, Baliyan N.
europepmc +4 more sources
Vulnerability detection with fine-grained interpretations [PDF]
Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021 Despite the successes of machine learning (ML) and deep learning (DL) based vulnerability detectors (VD), they are limited to providing only the decision on whether a given code is vulnerable or not, without details on what part of the code is relevant to the detected vulnerability.
Yi Li 0048 +2 more
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Vulnerability Detection is Just the Beginning [PDF]
2021 IEEE/ACM 43rd International Conference on Software Engineering: Companion Proceedings (ICSE-Companion), 2021 5 pages, 1 figure, submitted to International Conference on Software Engineering: Doctoral Symposium (ICSE-DS)
openaire +2 more sources
Assessing the Security of Campus Networks: The Case of Seven Universities
Sensors, 2021 The network security situation of campus networks on CERNET (China Education and Research Network) has received great concern. However, most network managers have no complete picture of the network security because of its special management and the rapid
Rui Zheng +4 more
doaj +1 more source
A Highly Interactive Honeypot-Based Approach to Network Threat Management
Future Internet, 2023 In this paper, considering the problem that the common defensive means in the current cyber confrontation often fall into disadvantage, honeypot technology is adopted to turn reactive into proactive to deal with the increasingly serious cyberspace ...
Xingyuan Yang +5 more
doaj +1 more source
Code vulnerability detection method based on graph neural network
网络与信息安全学报, 2021 The schemes of using neural networks for vulnerability detection are mostly based on traditional natural language processing ideas, processing the code as array samples and ignoring the structural features in the code, which may omit possible ...
CHEN Hao, YI Ping
doaj +1 more source
A Smart Contract Vulnerability Detection Mechanism Based on Deep Learning and Expert Rules
IEEE Access, 2023 Traditional techniques for smart contract vulnerability detection rely on fixed expert criteria to discover vulnerabilities, which are less generalizable, scalable, and accurate.
Zhenpeng Liu +4 more
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Research on context-aware Android application vulnerability detection
Tongxin xuebao, 2021 The vulnerability detection model of Android application based on learning lacks semantic features.The extracted features contain noise data unrelated to vulnerabilities, which leads to the false positive of vulnerability detection model.A feature ...
Jiawei QIN +4 more
doaj +2 more sources
Software Vulnerability Detection Using Informed Code Graph Pruning
IEEE Access, 2023 pruning methods that can be used to reduce graph size to manageable levels by removing information irrelevant to vulnerabilities, while preserving relevant information.
Joseph Gear +5 more
doaj +1 more source
网络与信息安全学报, 2023 In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon ...
Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN
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