Adaptive Selection of Cryptographic Protocols in Wireless Sensor Networks using Evolutionary Game Theory

Arora, Srishti; Singh, Prabhjot; Gupta, A. J.

doi:10.1016/j.procs.2016.02.075

Cited by 8 publications

(6 citation statements)

References 4 publications

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“…EG-based Cryptosystems An EG-based adaptive approach for dynamic selection of cryptographic protocols to obtain an appropriate defense mechanism is presented in [8]. Defenders can select a cryptographic protocol as deterrence against attackers by taking into account the cost of defense and reward for protection by a strong cryptography.…”

Section: Evolutionary Games In Cybersecuritymentioning

confidence: 99%

Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networks

2018

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In this paper, a comprehensive survey of evolutionary computation (EC) methods for cybersecurity of mobile ad hoc networks (MANETs) is presented. Typically, EC methods are named based on the natural processes inspiring them, such as swarm intelligence (e.g., ant colony optimization, artificial bee colony, and particle swarm optimization), evolutionary algorithms (e.g., genetic algorithms, genetic programming, grammatical evolution, and differential evolution), artificial immune systems, and evolutionary games analyzing strategic interactions among different population types. We introduce these methods with their typical applications, and commonly used algorithms to improve cybersecurity within the scope of MANETs. Ongoing and speedy topology changes, multi-hop communication, nonhierarchical organization, and power and computational limitations are among the intrinsic characteristics of MANETs causing cybersecurity vulnerabilities. We describe basic defense mechanisms in MANETs for vulnerability detection, attack deterrence, prevention and recovery, and risk mitigation. We classify principal applications of EC as intrusion detection, trust management, and cryptography in cybersecurity systems to countermeasure adversarial activities.This research is supported by D01 W911SR-14-2-0001-0014. The contents of this document represent the views of the authors and are not necessarily the official views of, or endorsed by, the US Government, Department of Defense, Department of the Army or US Army Communications-Electronic RD&E Center. Dr. Cem Safak Sahin is currently an MIT Lincoln Laboratory employee; no Laboratory funding or resources were used to produce the result/findings reported in this publication.

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Section: Evolutionary Games In Cybersecuritymentioning

confidence: 99%

Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networks

2018

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“…Shen [30] studied the dynamics of a sensor node making a trust decision that will determine whether to cooperate with others, with the purpose of disclosing this evolutionary process. Based on Evolutionary Game Theory, Arora [31] propose an adaptive security model for WSNs to select cryptographic protocols during runtime. When considering an effective way to employ D2D communications for secondary users, Cheng [33] adopted replicator dynamics in Evolutionary Game Theory to model the users' behaviors.…”

Section: Evolutionary Stable Strategymentioning

confidence: 99%

Decision Making in Crowdfunding Under Risk Analysis

Chen¹,

Chen²,

Chen³

et al. 2018

Proceedings of the 51st Hawaii International Conference on System Sciences

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Crowdfunding is an emerging international financial activity often performed via internet mediated platform. With the rapid growth of this financial system, rising risks would influence participant's decision making. In this study, we examine the process of a typical crowdfunding activity, pre-ordering pledging as well as its coming risks. Based on the analysis, we combine Evolutionary Stable Strategy (ESS) and General Bass Model (GBM) to build decision-making models for pre-ordering pledging theoretically where risk factors are taken into account. Finally, evolutionary game simulation system is built to simulate the dynamic decision-making behavior in a risk changing environments. The simulation results demonstrate that the currency exchange rate give great impact on international participant's decision-making behavior in crowdfunding. Low exchange rate brings less investment decision from the investor and high exchange rate leads to overheated investment which challenges funder's diligence. Project system risk may infest the participant's decisions-making process and cause ambiguity at the end. Limitation and managerial suggestions are discussed.

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“…Nowadays, evolutionary game theory is applied to more and more fields. Some scholars used evolutionary game theory to explore medical problems, such as tumor (Malekian et al, 2016;Khadem et al, 2017) and medical applications (Chen et al, 2018a); Some scholars studied information technology problems with the utilization of evolutionary game theory, such as wireless sensor networks (Arora et al, 2016) and data warehouses (Sohrabi and Azgomi, 2019); Fields like migration (Leenheer et al, 2017) and intellectual property (Yang et al, 2018) have also been involved. And both economic and environmental issues have been widely researched by the theory of evolutionary game, such as carbon taxes (Chen and Hu, 2018), green building scheme design (Wang, 2018b), green supply chain (Babu and Mohan, 2018;Sun et al, 2019), electric vehicles (Fang et al, 2019b) and municipal solid waste source separation (Chen et al, 2018b).…”

Section: Introductionmentioning

confidence: 99%

Evolutionary game of environmental investment under national environmental regulation in China

Sun

Ren

2021

Environ Sci Pollut Res

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With the rapid development of social economy, the deterioration of environment has become more and more serious, it is urgent to find a balance between economic development and environmental protection. Therefore, enterprises are appealed to invest in environmental protection and local municipalities are appealed to supervise the environmental behaviors of enterprises, while central government plays a role of regulation. In order to study the preconditions for a better environmental strategy combination of local municipalities and enterprises, an evolutionary game theory was first constructed in this paper, then the evolutionary stable strategy (ESS) of local municipalities and enterprises under different scenarios was examined, and finally a simulation was used to test the results of the analysis. The results indicate that central government's regulation has influence on the strategies chosen by local municipalities and enterprises, the larger the degree of central government's incentives are, the more possible local municipalities and enterprises would choose environment-friendly strategies;and the intensity of central government's regulation, the cost and benefits of local municipalities' supervision, and the cost and benefits of enterprises' environmental investment are the key influence factors.

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Adaptive Selection of Cryptographic Protocols in Wireless Sensor Networks using Evolutionary Game Theory

Cited by 8 publications

References 4 publications

Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networks

Survey on evolutionary computation methods for cybersecurity of mobile ad hoc networks

Decision Making in Crowdfunding Under Risk Analysis

Evolutionary game of environmental investment under national environmental regulation in China

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