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Multi-Loss Siamese Neural Network with Batch Normalization Layer for malware detection
journal contributionposted on 19.11.2020, 01:57 by Jinting Zhu, Julian Jang-Jaccard, Paul WattersPaul Watters
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This work was supported by the Cyber Security Research Programme-Artificial Intelligence for Automating Response to Threats from the Ministry of Business, Innovation, and Employment (MBIE) of New Zealand as a part of the Catalyst Strategy Funds under Grant MAUX1912.
Pagination9p. (p. 171542-171550)
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Science & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringMalwareFeature extractionTrainingTask analysisMachine learningRecurrent neural networksSiamese neural network (SNN)malware detectionvanishing gradient problemfeature embedding spacezero-day attack