Biblio

5G mobile networks promise universal communication environment and aims at providing higher bandwidth, increased communication and networking capabilities, and extensive signal coverage by using multiple communication technologies including Device-to-Device (D-to-D). This paradigm, will allow scalable and ubiquitous connectivity for large-scale mobile networks where a huge number of heterogeneous devices with limited resources will cooperate to enhance communication efficiency in terms of link reliability, spectral efficiency, system capacity, and transmission range. However, owing to its decentralized nature, cooperative D-to-D communication could be vulnerable to attacks initiated on relay nodes. Consequently, a source node has the interest to select the more protected relay to ensure the security of its traffic. Nevertheless, an improvement in the protection level has a counterpart cost that must be sustained by the device. To address this trade-off as well as the interaction between the attacker and the source device, we propose a dynamic game theoretic based approach to model and analyze this problem as a cost model. The utility function of the proposed non-cooperative game is based on the concepts of return on protection and return on attack which illustrate the gain of selecting a relay for transmitting a data packet by a source node and the reward of the attacker to perform an attack to compromise the transmitted data. Moreover, we discuss and analyze Nash equilibrium convergence of this attack-defense model and we propose an heuristic algorithm that can determine the equilibrium state in a limited number of running stages. Finally, we perform simulation work to show the effectiveness of the game model in assessing the behavior of the source node and the attacker and its ability to reach equilibrium within a finite number of steps.

A honeypot system is used to trapping hackers, track and analyze new hacking methods. However, it does not only take time for construction and deployment but also costs for maintenance because these systems are always online even when there is no attack. Since the main purpose of honeypot systems is to collect more and more attack trafc if possible, the limitation of system capacity is also a major problem. In this paper, we propose Dynamic Virtual Network Honeypot (DVNH) which leverages emerging technologies, Network Function Virtualization and Software-Defined Networking. DVNH redirects the attack to the honeypot system thereby protects the targeted system. Our experiments show that DVNH enables efficient resource usage and dynamic provision of the Honeypot system.