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The concept of intelligent transportation systems (ITS) is considered to be ahighly promising area of research due to its diversity of unique features. Itis based mainly on the wireless vehicular network (WVN), where vehicles canperform sophisticated services such as sharing real-time safety information. Toensure high-quality service, WVN needs to solve the security challenges likeeavesdropping, where malicious entities try to intercept the confidentialtransmitted signal. In this paper, we are going to provide a security schemeunder the Double kappa-mu Shadowed fading. Our solution is based on the use ofa friendly jammer that will transmit an artificial noise (AN) to jam theattacker's link and decrease its eavesdropping performances. To evaluate theefficiency of our solution, we investigated the outage probability for twospecial cases: Nakagami-m and Rician shadowed while taking into considerationthe density of the blockage and the shadowing effects. We also studied theaverage secrecy capacity via deriving closed-form expressions of the ergodiccapacity at the legitimate receiver and the attacker for the special case:Nakagami-m fading distribution.

PLS for V2I Communications Using Friendly Jammer and Double kappa-mu Shadowed Fading