A one-parameter generalized Wigner-Heisenberg algebra( WHA) is reviewed in detail. It is shown that WHA verifies the deformed commutation rule [x,p λ ] = i(1+ 2λR) and also highlights the dynamical symmetries of the pseudo-harmonic oscillator( PHO). The present article is devoted to the study of new cat-states built from λ-deformed Schrödinger coherent states, which according to the Barut-Girardello scheme are defined as the eigenstates of the generalized annihilation operator. Particular attention is devoted to the limiting case where the Schrödinger cat states are obtained. Nonclassical features and quantum statistical properties of these states are studied by evaluation of Mandel's parameter and quadrature squeezing with respect to the λ−deformed canonical pairs (x,p λ ). It is shown that these states minimize the uncertainty relations of each pair of the su(1, 1) components.

Rogue Base Stations (RBS), also known as 5G Subscription Concealed Identifier (SUCI) catchers, were initially developed to maliciously intercept subscribers’ identities. Since then, further advances have been made, not only in RBSs, but also in communication network security. The identification and prevention of RBSs in Fifth Generation (5G) networks are among the main security challenges for users and network infrastructure. The security architecture group in 3GPP clarified that the radio configuration information received from user equipment could contain fingerprints of the RBS. This information is periodically included in the measurement report generated by the user equipment to report location information and Received Signal Strength (RSS) measurements for the strongest base stations. The motivation in this work, then is to generate 5G measurement reports to provide a large and realistic dataset of radio information and RSS measurements for an autonomous vehicle driving along various sections of a road. These simulated measurement reports can then be used to develop and test new methods for identifying an RBS and taking mitigating actions. The proposed approach can generate 20 min of synthetic drive test data in 15 s, which is 80 times faster than real time.

The detection and prevention of cyber-attacks is one of the main challenges in Vehicle-to-Everything (V2X) autonomous platooning scenarios. A key tool in this activity is the measurement report that is generated by User Equipment (UE), containing received signal strength and location information. Such data is effective in techniques to detect Rogue Base Stations (RBS) or Subscription Permanent Identifier SUPI/5G-GUTI catchers. An undetected RBS could result in unwanted consequences such as Denial of Service (DoS) attacks and subscriber privacy attacks on the network and UE. Motivated by this, this paper presents the novel simulation of a 5G cellular system to generate a realistic dataset of signal strength measurements that can later be used in the development of techniques to identify and prevent RBS interventions. The results show that the tool can create a large dataset of realistic measurement reports which can be used to develop and validate RBS detection techniques.

We introduce an analytical framework for quantitative safety level evaluation of periodic-based safety applications in vehicular ad hoc networks (VANETs). The framework is based on Markov chain modeling and associates the probability of successful reception of safety messages by the safety application with the safety level which is eventually offered to the passengers. The relationship between distance and safety risk is also incorporated in the proposed model. The idea of this paper challenges the common trend in literature in which quality of safety (pertaining to safety application) is evaluated through the same parameters as quality of service (of the network). Based on the proposed framework, we investigate the effects of vehicles' transmission range on the evaluated safety level. Further we showed that despite of poor performance of the MAC layer of current standard, which is based on IEEE 802.11p, invoking application layer TDMA-like scheduling improves the quality of safety noticeably satisfying the requirements of most of the life safety applications.