Playing repeated security games with multiple attacker types:a Q-iteration on a linear programming approach

This paper investigates infinite horizon repeated security games with one defender and multiple attacker types.The incomplete information brings uncertainty of attackers’behaviour for the defender.Under the uncertainty of attackers’behaviours,we take the worst-case analysis to minimise the defender’s regret w.r.t.each attacker type.We wish to keep the regret especially small w.r.t.one attacker type,at the cost of modest additional overhead compared to others.The tradeoff among the objectives requires us to build a Multi-Objective Repeated SecurityGame(MORSG)model.To parameterise the regret Pareto frontier,we combine the different weight vectors with different objectives and build a linear programming approach.By running the Q-iteration procedure on linear programming for each weight vector,the optimal regret Pareto frontier can be computed.We also propose an approximate approach to approximate it.The approximation analysis proves the effectiveness of the approximation approach.

Game theory-based attack and defense analysis in virtual wireless networks with jammers and eavesdroppers

Dynamic spectrum sharing and cognitive radio networks were proposed to enhance the Radio Frequency(RF)spectrum utilization.However,there are several challenges to realize them in real systems,such as sensing uncertainty causing issues to licensed users,business models for licensed service providers.Wireless virtualization is regarded as a technology that leverages service level agreements to sublease unused or underutilized RF spectrum that addresses aforementioned issues and helps to significantly enhance the utilization of the RF spectrum,offer improved coverage and capacity of networks,enhance network security and reduce energy consumption.With wireless virtualization,wireless networks'physical substrate is shared and reconfigured dynamically between virtual wireless networks through Mobile Virtual Network Operations(MVNOs).Wireless virtualization with dynamic configurable features of Wireless Infrastructure Providers(WIPs),virtualized wireless networks are vulnerable to a multitude of attacks,including jamming attacks and eavesdropping attacks.This paper investigates a means of defense through the employment of coalition game theory when jammers try to degrade the signal quality of legitimate users,and eavesdroppers aim to reduce secrecy rates.Specifically,we consider a virtual wireless network where MVNO users'job is to improve their Signal to Interference plus Noise Ratio(SINR)while the jammers target to collectively enhance their Jammer Received Signal Strength(JRSS),and an eavesdropper's goal is to reduce the overall secrecy rate.Numerical results have demonstrated that the proposed game strategies are effective(in terms of data rate,secrecy rate and latency)against such attackers compared to the traditional approaches.

Safe Olympics Beijing's top police officers offer security assurances to 2008 Olympic Games

With a formidable antiterrorism team, Beijing's top cops are ready to deal with any security incidents that might take place during the 2008 Olympics. This assurance was given by Lu Shimin, Deputy Director General of the Beijing Public Security Bureau, at a