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This paper considers the adaptive event-triggered strategy and controller design of vehicle platooning for stochastic attacks and interferences in communication channels. Bernoulli distribution and Markovian distribution Denial of Service models are introduced in this paper. In designing the controller, Aiming at the stochastic jamming attacks, the stability criterion is presented to guide the controller for almost sure string stability, and meanwhile aiming at the special safety requirements and the reduction of system interferences, the asymmetry event-triggered strategy framework is presented to adapt the transmission environment and the different safety requirements, which is designed to balance the principal concern in different situations. Finally, an example is introduced to demonstrate the controller performances of the vehicle platooning with the Bernoulli distribution and Markovian distribution DoS models, which implies that the presented methods are effective. • Considering the different safety requirements of the vehicle platooning and the influence of the SINR, the DoS attack probabilistic model is built by the analysis of the wireless communication channel under stochastic jamming attacks and interference among vehicles. • Considering the stability of the system and the jamming attacks, the controller design method can be refreshed in different communication environments and safety requirements to reduce the shock to the mechanical system of the vehicle and avoid the collision. • Considering the safety and focusing on the characteristic of the platooning system itself, we present the adaptive event-triggered method, which can further reduce the communication frequency, which is another different from previous results. [ABSTRACT FROM AUTHOR]

This paper considers the resilient tracking control problem for nonlinear unknown cyber-physical systems (CPSs) subject to jamming attacks in the wireless transmission channel. First, a novel model-free adaptive control (MFAC) framework against jamming attacks is established. A Bernoulli distribution process is used to describe the happen behavior of jamming attacks. Second, a n -steps predictive compensation algorithm is designed in the controller side to reduce the effect of jamming attacks. Then, the model-free adaptive controller is designed such that the tracking error of the nonlinear system is stochastic stable, and all the analysis are based on input/output data. Simulation results demonstrate the effectiveness of our approach. [ABSTRACT FROM AUTHOR]

This work presents optimization algorithms on attack-aware routing and spectrum allocation (Aa-RSA) in conjunction with spectrum selective switch (SSS) placement, taking into account variations in traffic demands. The objectives of the algorithms are to minimize the required number of SSSs, as well as the number of lightpath re-allocations between different demand scenarios, taking into account the crosstalk interactions that could potentially be utilized during a jamming attack to facilitate the spread of the attack to additional lightpaths throughout the network. To solve the offline network design problem, first the proposed Aa-RSA algorithm is modeled as a mathematical formulation that jointly considers all the design parameters. Then, integer linear program (ILP)-based decomposition techniques and graph-based heuristics are also proposed to address large-sized networks. Additionally, it is shown through a dynamic time-varying Aa-RSA scenario, that the offline pre-calculated network configurations are a good fit for the traffic demand variations, eliminating the computational time required in the path computation element (PCE) for dynamically reconfiguring the network. The benefits of each of the proposed algorithms with respect to the network's operating and capital expenditures (measured in terms of performance metrics such as the number of SSSs deployed, the spectrum utilization, and the number of re-allocations) are reported and validated through extensive simulation results. [ABSTRACT FROM AUTHOR]

Multi-agent consensus under jamming attacks is investigated. Specifically, inter-agent communications over a network are assumed to fail at certain times due to jamming of transmissions by a malicious attacker. A new stochastic communication protocol is proposed to achieve finite-time practical consensus between agents. In this protocol, communication attempt times of agents are randomized and unknown by the attacker until after the agents make their communication attempts. Through a probabilistic analysis, we show that the proposed communication protocol, when combined with a stochastic ternary control law, allows agents to achieve consensus regardless of the frequency of attacks. We demonstrate the efficacy of our results by considering two different strategies of the jamming attacker: a deterministic attack strategy and a more malicious communication-aware attack strategy. [ABSTRACT FROM AUTHOR]

Cyber-security threats and issues have been exponentially increasing over the last two decades, including in cognitive radio networks. These attacks and vulnerabilities negatively impact the normal functioning of these networks. Investigating these vulnerabilities and their countermeasures is a necessary step toward securing the cognitive radio based networks. Although there have numerous survey papers on cognitive radio security, a few papers related to the security issues over the physical layer which has a primordial role in establishing radio communications. Thus, an up to date overview of the ongoing research about the threats, detection, and countermeasures techniques over the physical layer is necessary. In this paper, different attacks targeting the physical layer are described and analyzed. Detection methods and countermeasures corresponding to each attack are also discussed and compared. Challenges and future directions are presented as well. [ABSTRACT FROM AUTHOR]