Results 161 to 170 of about 9,900 (193)

A secure and efficient blockchain enabled federated Q-learning model for vehicular Ad-hoc networks. [PDF]

Sci Rep
Ahmed HA, Jasim HM, Gatea AN, Al-Asadi AAA, Al-Asadi HAA.   +4 more
europepmc   +1 more source

Intrusion detection system for V2X communication in VANET networks using machine learning-based cryptographic protocols. [PDF]

Sci Rep
Venkatasamy TK, Hossen MJ, Ramasamy G, Aziz NHBA.   +3 more
europepmc   +1 more source

Authentication mechanism based on distributed blockchain for secure and energy efficient mobile ad-hoc networks. [PDF]

Sci Rep
Sugumaran VR, Dinesh E, Ramya R, Muniyandy E.   +3 more
europepmc   +1 more source

Partitioned RIS-Assisted Vehicular Secure Communication Based on Meta-Learning and Reinforcement Learning. [PDF]

Sensors (Basel)
Li H, Wang F, Qian J, Zhu P, Zhou A.
europepmc   +1 more source

Dynamic clustering based risk aware congestion control technique for vehicular network. [PDF]

Sci Rep
Dhakad B, Mishra S, Ojha SS, Sharma JK, Kumar S, Alrashoud M, Giri J, Hasnain SMM.   +7 more
europepmc   +1 more source

DDoS attack detection in intelligent transport systems using adaptive neuro-fuzzy inference system. [PDF]

Sci Rep
Usha G, Karthikeyan H, Gautam K, Pachauri N.   +3 more
europepmc   +1 more source

Traffic coordination by reducing jamming attackers in VANET using probabilistic Manhattan Grid Topology for automobile applications. [PDF]

Sci Rep
Santhi GB, Jacob SS, Sheela D, Kumaran P.   +3 more
europepmc   +1 more source

A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning. [PDF]

PLoS One
Hassan F, Syed ZS, Memon AA, Alqahtany SS, Ahmed N, Reshan MSA, Asiri Y, Shaikh A.   +7 more
europepmc   +1 more source

ANN-Based Intelligent Secure Routing Protocol in Vehicular Ad Hoc Networks (VANETs) Using Enhanced AODV. [PDF]

Sensors (Basel)
Ul Hassan M, Al-Awady AA, Ali A, Sifatullah, Akram M, Iqbal MM, Khan J, Abdelrahman Ali YA.   +7 more
europepmc   +1 more source

Dual-Slope Path Loss Model for Integrating Vehicular Sensing Applications in Urban and Suburban Environments. [PDF]

Sensors (Basel)
Fernández H, Rubio L, Rodrigo Peñarrocha VM, Reig J.   +3 more
europepmc   +1 more source