Visible to the public Collaborative Adversarial Modeling for Spectrum Aware IoT Communications

TitleCollaborative Adversarial Modeling for Spectrum Aware IoT Communications
Publication TypeConference Paper
Year of Publication2018
AuthorsSamanta, P., Kelly, E., Bashir, A., Debroy, S.
Conference Name2018 International Conference on Computing, Networking and Communications (ICNC)
Keywords5G mobile communication, adversarial system utility components, Adversary Models, Cognitive radio, Collaboration, collaborative adversarial modeling, collaborative attacks, collaborative group, collaborative selfish adversaries, collaborative SSDF attack, Computational modeling, cooperative communication, cooperative spectrum sensing, DSA paradigm, dynamic spectrum access, dynamic spectrum access based networks, environmental sensing capability, Games, Hardware, Human Behavior, inherent DSA vulnerabilities, Internet of Things, IoT networks, large scale future 5G Internet of Things, leader-follower game, Metrics, Pareto optimisation, Pareto-optimal adversarial strategy design, pubcrawl, radio spectrum management, Resiliency, Scalability, security, selfish adversarial model, selfish adversary, Sensors, signal detection, spectrum availability estimation, spectrum aware 5G vision, spectrum aware IoT applications, spectrum aware IoT communications, spectrum sensing data falsification attacks, telecommunication security, wireless channels
AbstractIn order to cater the growing spectrum demands of large scale future 5G Internet of Things (IoT) applications, Dynamic Spectrum Access (DSA) based networks are being proposed as a high-throughput and cost-effective solution. However the lack of understanding of DSA paradigm's inherent security vulnerabilities on IoT networks might become a roadblock towards realizing such spectrum aware 5G vision. In this paper, we make an attempt to understand how such inherent DSA vulnerabilities in particular Spectrum Sensing Data Falsification (SSDF) attacks can be exploited by collaborative group of selfish adversaries and how that can impact the performance of spectrum aware IoT applications. We design a utility based selfish adversarial model mimicking collaborative SSDF attack in a cooperative spectrum sensing scenario where IoT networks use dedicated environmental sensing capability (ESC) for spectrum availability estimation. We model the interactions between the IoT system and collaborative selfish adversaries using a leader-follower game and investigate the existence of equilibrium. Using simulation results, we show the nature of adversarial and system utility components against system variables. We also explore Pareto-optimal adversarial strategy design that maximizes the attacker utility for varied system strategy spaces.
Citation Keysamanta_collaborative_2018