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Background The conventional Assignment Problem (AP) may no longer be sufficient to handle real-world problems as they get more multifaceted and incorporate numerous, frequently conflicting objectives. In response, the Bi-Objective Assignment Problem (BOAP) provides an extended optimization framework that enables the si...
This work proposes a scalable and transparent intrusion detection system (IDS) for SDNs using machine learning models that balance accuracy and computational efficiency, and explains the most important traffic characteristics, such as the length of the packets and the destination port, which are used to decide the deci...
A blockchain-enabled cybersecurity framework for ITS that integrates distributed ledger technology with secure vehicle-to-vehicle, vehicle-to-infrastructure, and vehicle-to-everything communication is proposed that incorporates identity management, consensus-based validation, trust evaluation, secure data sharing, intr...
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