Strategic Antieavesdropping Game for Physical Layer Security in Wireless Cooperative Networks

Wang, Kun; Yuan, Li; Miyazaki, Toshiaki; Zeng, Deze; Guo, Song; Sun, Yuqing

doi:10.1109/tvt.2017.2703305

Cited by 46 publications

(17 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It turns out that the computational complexity of limited computing power increases exponentially with the number of sensor nodes and targets. In [18], SA can achieve high task execution efficiency when dealing with task allocation issue. In [19], authors proposed a GA scheme to improve system performance for better total system efficiency in WSNs.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Elite Immune Ant Colony Optimization-Based Task Allocation for Maximizing Task Execution Efficiency in Agricultural Wireless Sensor Networks

Zhou

2020

Journal of Sensors

View full text Add to dashboard Cite

The research of agricultural wireless sensor networks (AWSNs) plays an important role in the field of facility agricultural technology. The temperature and humidity nodes in AWSNs are so tiny that they are limited on computation, network management, information collection, and storage size. Under this condition, task allocation plays a key role in improving the performance of AWSNs to reduce energy consumption and computational constraints. However, the optimization of task allocation is a nonlinearly constrained optimization problem whose complexity increases when constraints such as limited computing capabilities and power are undertaken. In this paper, an elite immune ant colony optimization (EIACO) is proposed to deal with the problem of task allocation optimization, which is motivated by immune theory and elite optimization theory. The EIACO uses ant colony optimization (ACO) to combine the clone operator and elite operator together for the optimization of task allocation. The performances of EIACO with different numbers of temperature and humidity sensor nodes and tasks have been compared by both genetic algorithm (GA) and simulated annealing (SA) algorithm. Simulation results show that the proposed EIACO has a better task execution efficiency and higher convergence speed than GA and SA. Furthermore, the convergence speed of EIACO is faster than GA and SA. Therefore, the whole system efficiency can be improved by the proposed algorithm.

show abstract

Section: Related Workmentioning

confidence: 99%

“…In formula (18), Δτ ef ðt, t + 1Þ indicates the value of pheromones that the ant left on the path ðe, f Þ during the generation ðt, t + 1Þ. ρ is the evaporation coefficient of pheromone to avoid infinite growth of pheromone on the path.…”

Section: Path Selectionmentioning

confidence: 99%

Elite Immune Ant Colony Optimization-Based Task Allocation for Maximizing Task Execution Efficiency in Agricultural Wireless Sensor Networks

Zhou

2020

Journal of Sensors

View full text Add to dashboard Cite

show abstract

“…The work has been carried out using simulation based approach. Wang et al [27] have addressed the problem of eavesdropping where the solution has been presented using game theory. The work is especially focused on physical layer security where an optimal cost model has been presented for this purpose.…”

Section: Related Workmentioning

confidence: 99%

Novel Framework for Maximizing Security over Wireless Network

N*,

Kumar,

Reddy

2020

IJITEE

View full text Add to dashboard Cite

With the increasing adoption of application running over wireless networking system, there is also an increasing security concern in it. Review of existing security protocols in wireless networks shows that they are highly specific to adversaries and hence they cannot be applicable with the dynamic state of network vulnerabilities. Apart from this, it was also explored that public key encryption requires a drastic change in its design methodology in order to make it more resource friendly for increased network lifetime. Therefore, this manuscript presents a novel framework that develops an enhanced model of public key encryption using algebraic structure that can generate an elite secret key. The study also introduces a design of an efficient trapdoor function which renders maximum resiliency towards different forms of lethal attacks as well as adhere to maximum security standards in wireless network. The study outcome shows that proposed system out performs frequently used existing security standards in many aspects.

show abstract

“…The physical layer security techniques that do not require any computing power have attracted much attention from both academia and industry. In [7][8][9][10], the concept of friendly jammer was proposed to prevent the eavesdropping attacks from intentionally injecting noise in CPTS. In recent years, almost all previous literatures assumed that the jammer is friendly, i.e., the users have the full right to control it.…”

Section: The Remote Controller and Respond With The Sensing Informatimentioning

confidence: 99%

Jamming and Eavesdropping Defense in Green Cyber–Physical Transportation Systems Using a Stackelberg Game

Wang

Yuan

Miyazaki

et al. 2018

IEEE Trans. Ind. Inf.

Self Cite

View full text Add to dashboard Cite

This paper studies the secure transmission rate issue between sensors and the remote controller to defend the jamming and eavesdropping attacks in Green Cyber-Physical Transportation Systems (GCPTS). In this system, the traffic sensor transmits the transportation state information to the remote controller via wireless networks. Due to the broadcast characteristics of wireless communication, the systems are vulnerable to the eavesdropping and jamming attacks. In this paper, we study how to maximize the secure transmission rate between sensors and the controller with the presence of malicious eavesdropper and jammer. Specifically, the malicious jammer is smart and can choose the optimal power strategy to maximize the side effect with the knowledge of sensor's transmission power. For the purpose of achieving the maximum utility, the optimal strategy is determined via adjusting the sensor's transmission power according to the control feedback conditions. We consider the single-antenna model and the multi-antenna model to formulate this problem as an optimization problem based on the Stackelberg game. We then prove the existence of Stackelberg equilibrium via the interaction between the sensor and the jammer. Moreover, we present two algorithms to obtain the optimal transmission strategy, i.e., stochastic algorithm with feedback (SAF) and renewed intelligent simulated annealing (RISA). Finally, extensive simulations and trace experimental results are presented to verify our theoretical analysis.

show abstract

Strategic Antieavesdropping Game for Physical Layer Security in Wireless Cooperative Networks

Cited by 46 publications

References 29 publications

Elite Immune Ant Colony Optimization-Based Task Allocation for Maximizing Task Execution Efficiency in Agricultural Wireless Sensor Networks

Elite Immune Ant Colony Optimization-Based Task Allocation for Maximizing Task Execution Efficiency in Agricultural Wireless Sensor Networks

Novel Framework for Maximizing Security over Wireless Network

Jamming and Eavesdropping Defense in Green Cyber–Physical Transportation Systems Using a Stackelberg Game

Contact Info

Product

Resources

About