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Agent Pseudonymous Authentication-Based Conditional Privacy Preservation: An Emergent Intelligence Technique
IEEE Systems Journal ( IF 4.0 ) Pub Date : 2020-06-01 , DOI: 10.1109/jsyst.2020.2994631
Suresh Chavhan , Deepak Gupta , Chandana B N , Ashish Khanna , Joel J. P. C. Rodrigues

An intelligent transportation system in a metropolitan area is dynamic and prone to many external and internal attacks. These attacks result into modification, controlling, accessing, and altering private and public information of transport depots and their communicating agents. In this article, we have proposed a novel agent pseudonymous authentication with a conditional privacy preservation scheme in a metropolitan area. The proposed scheme utilizes identity-based encryption and a Boneh–Lynn–Shacham signature scheme for authentication, pseudonyms based for privacy preservation, and public key cryptography for pseudonyms generation. It achieves privacy preservation of depot's information. The primary objective of the proposed scheme is to protect privacy of communicating agents of transport depots during exchange of information (such as surplus and deficit vehicles and vehicles dispatch allocation and revocation). The proposed scheme is capable of avoiding the presence of impersonate genuine and malicious agents at transport depot. The proposed scheme uses an emergent intelligence technique for collecting, sharing, and analyzing transportation information. In addition, it also takes dynamic decisions for protecting privacy of transport depot's communicating agents. In this article, first, formal security proofs of the proposed scheme has been carried out using ProVerif tool, and second, Crypto++ package is used for the experimental and performance analysis. The experimental results reveal that the proposed scheme efficiently preserves privacy of transport depots’ communicating agents.

中文翻译:

基于代理假名基于身份验证的条件隐私保护:一种新兴的智能技术

大都市地区的智能交通系统是动态的,容易受到许多内部和外部的攻击。这些攻击导致修改,控制,访问和更改运输厂及其通信代理的私人和公共信息。在本文中,我们提出了一种新的具有条件隐私保护方案的大都市地区的代理假名认证。提出的方案利用基于身份的加密和Boneh-Lynn-Shacham签名方案进行身份验证,基于假名保护隐私,并使用公共密钥密码术生成假名。它实现了仓库信息的隐私保护。提议的方案的主要目的是在信息交换期间(例如,过剩和不足的车辆以及车辆调度分配和吊销)保护运输站通信代理的隐私。所提出的方案能够避免在运输仓库中存在冒充的真实和恶意代理。提出的方案使用了一种新兴的智能技术来收集,共享和分析运输信息。此外,它还采取了动态决策来保护运输站通信代理的隐私。在本文中,首先,使用ProVerif工具对提出的方案进行了正式的安全证明,其次,使用Crypto ++软件包进行了实验和性能分析。
更新日期:2020-06-01
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