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SecRiskAI: a Machine Learning-Based Approach for Cybersecurity Risk Prediction in Businesses.

, , , , , and . CBI (1), page 1-10. IEEE, (2022)

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Securing Smart Offices Through an Intelligent and Multi-device Continuous Authentication System., , , , and . iSCI, volume 1122 of Communications in Computer and Information Science, page 73-85. Springer, (2019)Federated learning for malware detection in IoT devices., , , and . Comput. Networks, (2022)Privacy-Preserving and Syscall-Based Intrusion Detection System for IoT Spectrum Sensors Affected by Data Falsification Attacks., , , , , and . IEEE Internet Things J., 10 (10): 8408-8415 (May 2023)SUSAN: A Deep Learning based anomaly detection framework for sustainable industry., , , and . Sustain. Comput. Informatics Syst., (January 2023)Sentinel: An Aggregation Function to Secure Decentralized Federated Learning., , , , , and . CoRR, (2023)A Lightweight Moving Target Defense Framework for Multi-purpose Malware Affecting IoT Devices., , , , , , and . ICC, page 6010-6015. IEEE, (2023)Study of P300 Detection Performance by Different P300 Speller Approaches Using Electroencephalography., , , , , and . ISMICT, page 1-6. IEEE, (2022)Authcode - Dataset., , , and . (April 2020)Voyager: MTD-Based Aggregation Protocol for Mitigating Poisoning Attacks on DFL., , , , and . CoRR, (2023)Intelligent Fingerprinting to Detect Data Leakage Attacks on Spectrum Sensors., , , , and . ICC, page 4080-4085. IEEE, (2022)