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RISS 인기검색어
- 검색키워드
- 저자 : Amit Kumar Tyagi (검색결과 2 건)
- 무료
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Providing Together Security, Location Privacy and Trust for Moving Objects
Amit Kumar Tyagi,Dr. N. Sreenath 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.3
In last few years, vehicular networks (or moving objects) are gaining more and more attraction from the researchers and the automobile industries. In that, Location-Based Services (LBSs) become more feature-rich and versatile due to the explosion of mobile devices and the advances of positioning technologies. Trust and Privacy are the two key parts of security and it is undoubtedly a necessity to develop (or maintain) trust for moving objects (or vehicular users). The main aim of this paper is to propose a trust model for vehicular environment with desired level of privacy protection. The proposed model contains two different modules. First, this paper analyzed the merit and demerit of exiting location privacy protection method.Then a perceived k-value location privacy protection algorithmdiscussed to provide desired level of privacy protection. Hereafter the protocol (or procedure) of this algorithm; simulation result are discussed in detail.Second,it provides a model to maintain trust for vehicle Ad-hoc Network (VANET) users in LBSs. The results show that proposed method outperforms the existing privacy preservation method by effectively enhances privacy and trust against various adversaries. Hence,the purpose of this work is to maintain trust and certain level of privacy among vehicular users without revealing her identity in LBSs.
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Preserving Location Privacy in Location Based Services against Sybil Attacks
Amit Kumar Tyagi,N. Sreenath 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.12
With the rapid development of wireless technologies, Privacy of personal location information of a vehicle ad-hoc network (VANET) users is becoming an increasingly important issue. Services provided by Location based services to VANETs users can breached by Sybil attacks i.e. by malicious vehicles claim multiple identities at the same time. The prevention of these attacks, which could occur in or out of the Road Side Units (RSUs) coverage have a challenge to detect, as it should meet a compromise between the ability to identify the real identity of the malicious vehicle, and prevention of vehicle users from being tracked by malicious entities (i.e unauthorized users). This paper proposes a solution to prevent and detect Sybil attacks in VANETs. The identification of attackers is based on two types of authentication techniques. The first uses identification tags (for example: RFID etc.) embedded in the vehicle to authenticate them to the RSU and obtain short lifetime certificates. The second uses certificates to authenticate vehicles to their neighbors. The vehicular network is divided into different zones brought under the control of different certification authorities (CAs), forcing a vehicle to change its certificate when moving from a zone to another. One important characteristic of the proposed solution is that it prevents attackers from tracking the mobility of the vehicles. Avoiding false negatives is also addressed using observers (for example: software components in charge of monitoring) in vehicle nodes. A set of simulation scenarios also are conducted to evaluate the performance of the proposed solution. In last, this paper summarizes the comparison between our proposed approach and other various existed techniques to detect Sybil attacks in LBSs.
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