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A Novel Smart Contract Vulnerability Detection Method Based on Information Graph and Ensemble Learning [PDF]
Sensors, 2022 Blockchain presents a chance to address the security and privacy issues of the Internet of Things; however, blockchain itself has certain security issues. How to accurately identify smart contract vulnerabilities is one of the key issues at hand.
Lejun Zhang +6 more
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Smart Contract Vulnerability Detection Based on Deep Learning and Multimodal Decision Fusion [PDF]
Sensors, 2023 With the rapid development and widespread application of blockchain technology in recent years, smart contracts running on blockchains often face security vulnerability problems, resulting in significant economic losses.
Weichu Deng +5 more
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Smart Contract Vulnerability Detection Model Based on Multi-Task Learning [PDF]
Sensors, 2022 The key issue in the field of smart contract security is efficient and rapid vulnerability detection in smart contracts. Most of the existing detection methods can only detect the presence of vulnerabilities in the contract and can hardly identify their ...
Jing Huang +3 more
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A new method of software vulnerability detection based on a quantum neural network [PDF]
Scientific Reports, 2022 In the field of network security, although there has been related work on software vulnerability detection based on classic machine learning, detection ability is directly proportional to the scale of training data.
Xin Zhou +9 more
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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
Smart Contract Vulnerability Detection Based on Abstract Syntax Tree Pruning [PDF]
Jisuanji kexue, 2023 With the development of blockchain technology,smart contracts have been widely used in various fields,and Ethereum has become the largest smart contract platform.At the same time,the frequent smart contract vulnerabilities have caused huge economic ...
LIU Zerun, ZHENG Hong, QIU Junjie
doaj +1 more source
Intelligent vulnerability detection system based on graph structured source code slice
网络与信息安全学报, 2021 For the intelligent vulnerability detection, the system extracts the graph structured source code slices according to the vulnerability characteristics from the program dependency graph of source code, and then presents the graph structured slice ...
ZOU Deqing +3 more
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Survey on static software vulnerability detection for source code
网络与信息安全学报, 2019 Static software vulnerability detection is mainly divided into two types according to different analysis objects: vulnerability detection for binary code and vulnerability detection for source code.
LI Zhen, WANG Zeli, JIN Hai, ZOU Deqing
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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)
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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
openaire +2 more sources