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Malware detection in IoT networks with CNNs and integrated feature engineering. [PDF]
Abd-Ellah MK +3 more
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Transfer learning with XAI for robust malware and IoT network security. [PDF]
Almadhor A +6 more
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WebView-Based Hybrid Analysis of Link and Event for On-Device QR Phishing Detection Framework. [PDF]
Woo J, Lee S, Park I, Lee S.
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GridCL for fine-grained load profiling in smart grids under limited labels. [PDF]
Zhang L +8 more
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Censoring chemical data to mitigate dual use risk.
Campbell Q, Herington J, White AD.
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Source Code Obfuscation for Smart Contracts
2020 27th Asia-Pacific Software Engineering Conference (APSEC), 2020State-of-the-art work of evaluating smart contract static analysis tools faces a major problem: most test cases (i.e., labeled buggy contracts) are too simple and lack complexity, which makes the evaluation unable to show the real performance of the analysis tools when complex contracts are analyzed.
Xiapu Luo, Pengcheng Zhang
exaly +2 more sources
An(Other) Exercise in Measuring the Strength of Source Code Obfuscation
2014 25th International Workshop on Database and Expert Systems Applications, 2014We experimentally compare the strength of different source code obfuscation techniques by measuring the performance of human analysts. We describe an experimental setup by which it is possible to compare different obfuscation techniques with each other.
Felix Freiling, Tilo Müller
exaly +3 more sources

