Abstract: Intrusion Detection (ID) faces multiple challenges, including the diversity of intrusion types and the risk of false positives and negatives. In an edge computing context, resource ...
Abstract: Network Intrusion Detection Systems (NIDSs) are crucial tools for ensuring cyber security. Recently, machine learning-based NIDSs have gained popularity due to their ability to adapt to ...