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首页> 外文期刊>Journal of mobile multimedia >WHEN GAME THEORY MEETS SECURITY AND PRIVACY RELATED RISK ASSESSMENT OF VEHICULAR NETWORKS (VANET)
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WHEN GAME THEORY MEETS SECURITY AND PRIVACY RELATED RISK ASSESSMENT OF VEHICULAR NETWORKS (VANET)

机译:当博弈论满足车辆网络(VANET)的安全性和私隐性相关风险评估时

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摘要

Vehicular ad-hoc networks faces numerous challenges, in particular Security and Privacy issues. Here, security assessment, risk evaluation and many other security features/ calculations are based generally on theoretical ideas, that may project in different level real life conditions. Hence, the existing of an important risk that these analysis may not work properly. We shouldn't forget that the important goal of VANET applications deployment is to reduce accident rate, which means the reduction of the human deaths and injuries number. Hence, our focus on the importance of strengthening the security aspect of different VANET applications and services, Which could be achieved by relying on security requirements. We found many research approaches covering a significant part of VANETs security and risk assessment challenges. This article is dedicated to the most crucial challenges in every security analysis methodology which is the study of different attack scenarios. These scenarios are generally in accordance with the most feared threats. So our goal here, is to determine the most probably attack scenario and how we can deploy the appropriate countermeasures in such a way some risks are acceptable. Therefore, our approach to VANET defense applies attack tree- defense tree for advanced vulnerabilities assessment and intrusion detection. Attack tree processing shows how attackers can penetrate a VANET, so by identifying critical vulnerabilities we can provide strategies for protecting the critical network assets. Thus, attack-tree leads us to the optimal intrusion detection and attack response. A strong link is existed between attacker and defender assets, which can be modeled by a mathematical analysis, called game theory analysis. This game approach has demonstrated the interaction in the attack-tree processing.
机译:车载自组织网络面临众多挑战,特别是安全性和隐私性问题。在此,安全评估,风险评估和许多其他安全功能/计算通常基于理论思想,这些理论思想可能会在现实生活中处于不同级别。因此,存在着这些分析可能无法正常工作的重要风险。我们不应忘记,VANET应用程序部署的重要目标是降低事故率,这意味着减少人员伤亡人数。因此,我们将重点放在加强不同VANET应用程序和服务的安全性方面的重要性上,这可以依靠安全性要求来实现。我们发现许多研究方法涵盖了VANET安全和风险评估挑战中的很大一部分。本文致力于研究每种安全分析方法中最关键的挑战,即研究不同的攻击方案。这些情况通常符合最令人担忧的威胁。因此,我们的目标是确定最可能的攻击情况以及如何以可以接受某些风险的方式部署适当的对策。因此,我们的VANET防御方法将攻击树-防御树应用于高级漏洞评估和入侵检测。攻击树处理显示了攻击者如何渗透VANET,因此,通过确定关键漏洞,我们可以提供保护关键网络资产的策略。因此,攻击树使我们获得最佳的入侵检测和攻击响应。攻击者和防御者资产之间存在牢固的联系,可以通过称为博弈论分析的数学分析来建模。这种游戏方法已经证明了攻击树处理中的交互作用。

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