Using Adaptive Zero-Knowledge Authentication Protocol in VANET Automotive Network
نویسندگان
چکیده
One of the most important components intelligent transportation systems (ITS) is automotive self-organizing VANET network (vehicular ad hoc network). Its nodes are vehicles with specialized onboard units (OBU) installed on them. Such a can be subject to various attacks. To reduce effectiveness number attacks VANET, it advisable use authentication protocols. Well-known protocols support security policy full trust in roadside unit (RSU) base stations. The disadvantage these ability RSU track route vehicle. This leads violation privacy and anonymity vehicle’s owner. eliminate this drawback, article proposes an adaptive protocol. An advantage protocol provision high imitation resistance without using symmetric asymmetric ciphers. result has been achieved by zero-knowledge A scheme for adapting parameters depending intensity user’s traffic developed proposed scientific novelty solution time spent changing execution algorithm reducing modular exponentiation operations when calculating true “distorted” digests prover verifying correctness responses, as well responses. Authentication, before, takes place one round bit depth modulus used evaluate protocol, model was implemented NS-2. obtained research results have shown that adaptation conditions increased density road makes possible increase volume data exchange between OBU level confidentiality. In addition, mechanism authority owner provided services developed. As implementation mechanism, vehicle registration sites (VRS) calculate public key encryption provide necessary
منابع مشابه
Zero Knowledge Password Authentication Protocol
In many applications, the password is sent as cleartext to the server to be authenticated thus providing the eavesdropper with opportunity to steal valuable data. This paper presents a simple protocol based on zero knowledge proof by which the user can prove to the authentication server that he has the password without having to send the password to the server as either cleartext or in encrypte...
متن کاملM-Pin: A Multi-Factor Zero Knowledge Authentication Protocol
Here we introduce the M-Pin client-server protocol, which features two-factor client authentication as an alternative to Username/Password. Despite the mathematical complexity of the protocol we demonstrate that an M-Pin client can be implemented in an environment with limited computational capability.
متن کاملPost-Quantum Cryptography: A Zero-Knowledge Authentication Protocol
In this paper, we present a simple bare-bones solution of a Zero-Knowledge authentication protocol which uses non-commutative algebra and a variation of the generalized symmetric decomposition problem (GSDP) as a one-way function. The cryptographic security is assured as long the GSDP problem is computationally hard to solve in non-commutative algebraic structures and belongs currently to the P...
متن کاملA Robust Conditional Privacy-Preserving Authentication Protocol in VANET
Recently, Lu et al. proposed an efficient conditional privacy preservation protocol, named ECPP, based on group signature scheme for secure vehicular communications. However, ECPP dose not provide unlinkability and traceability when multiple RSUs are compromised. In this paper, we make up for the limitations and propose a robust conditional privacy-preserving authentication protocol without los...
متن کاملProtocol Independent Adaptive Route Update for VANET
High relative node velocity and high active node density have presented challenges to existing routing approaches within highly scaled ad hoc wireless networks, such as Vehicular Ad hoc Networks (VANET). Efficient routing requires finding optimum route with minimum delay, updating it on availability of a better one, and repairing it on link breakages. Current routing protocols are generally foc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Information
سال: 2022
ISSN: ['2078-2489']
DOI: https://doi.org/10.3390/info14010027