Security and Privacy for Modern Wireless Communication Systems

© 2022 by the authors; CC BY-NC-ND license

propagation trends; social networks; group features; dilated CNN; machine learning; physical layer security; Rice channels; wireless communications; 6G security; sycon; cube attack; state recovery; wireless body area networks; authentication; biometric; physical unclonable function; BAN logic; RoR model; AVISPA; 6G wireless communications; chi-square; cybersecurity; intrusion detection system; machine learning techniques; meta-model; stacking ensemble learning; voting techniques; fault attack; error detection; code abiding; overcost; bitslice cipher; physical layer security; multiple eavesdroppers; full-duplex; underground mine; amplify-and-forward relay; communication system security; physical layer; wireless communication; precoding; wire-tap channel; blockchain; wireless communication network; malicious node; security protocol; intrusion detection; in-vehicle communication; inter-vehicle communication; optical communication; security wireless; visible light communication; wireless optical communication; convolutional neural network; CNN; counterfeit detection; device fingerprinting; distinct native attribute (DNA); information and communications technology; multiple discriminant analysis; MDA; WirelessHART; wireless communications security; blockchain; digital twin; Internet of Things; healthcare; encryption; privacy; rural; LPWAN; secure localization; positioning; distance vector hop; DV-Hop; security attacks; wireless sensor network; security; steganalysis; covert channel; steganography; undetectability; aggregator-based grouping; wireless sensor networks; encryption and decryption operations