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Titlebook: Data Science and Security; Proceedings of IDSCS Samiksha Shukla,Aynur Unal,Dong Seog Han Conference proceedings 2021 The Editor(s) (if appl

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楼主: HABIT
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Computational Collective Intelligence for security and privacy concerns and a new taxonomy proposed that could accommodate all potential threats. A detailed review of available security and privacy audit tools has also been done for common smart contract platforms. At last, identified the challenges required to be addressed to make the smart contract more efficient.
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A Systematic Review of Challenges and Techniques of Privacy-Preserving Machine Learning,f privacy in ML, classifies current privacy threats, and describes state-of-the-art mitigation techniques named Privacy-Preserving Machine Learning (PPML) techniques. The paper compares existing PPML techniques based on relevant parameters, thereby presenting gaps in the existing literature and proposing probable future research drifts.
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Smart Contract Security and Privacy Taxonomy, Tools, and Challenges, for security and privacy concerns and a new taxonomy proposed that could accommodate all potential threats. A detailed review of available security and privacy audit tools has also been done for common smart contract platforms. At last, identified the challenges required to be addressed to make the smart contract more efficient.
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Deep Learning Methods for Intrusion Detection System,his paper, an intrusion detection system is built using Deep Learning approaches Deep neural network and Convolutional Neural Network to detect DoS attacks. CICIDS2017 dataset is used to train the model and test the performance of the model. The experimental trials show that the proposed model outperforms all the previously implemented models.
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