FEDERATED LEARNING FOR IOT INTRUSION DETECTION

Federated Learning for IoT Intrusion Detection

The number of Internet of Things (IoT) devices has increased considerably in the past few years, resulting in a large growth of cyber attacks on IoT infrastructure.As part of a defense in depth approach to cybersecurity, intrusion detection systems (IDSs) have acquired a key role in attempting to detect malicious activities efficiently.Most modern

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Federated Learning for IoT Intrusion Detection

The number of Internet of Things (IoT) devices has increased considerably in the past few years, resulting in a large growth of cyber attacks on IoT infrastructure.As part of a defense in depth approach to cybersecurity, intrusion detection systems (IDSs) have acquired a key role in attempting to detect malicious activities efficiently.Most modern

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On the factors and the degree of their effect on subglacial melt and changes in the state of Antarctic subglacial lakes

This study presents the results NEFF N30 U1CHC0AN0B Electric Double Oven - Stainless Steel of mathematical modeling of the degree of effects of various characteristics on basal conditions in Antarctica.The model is based on the numerical solution of the one-dimensional Stefan problem.Five factors determining the nature of subglacial processes have

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