Investigating the Performances and Vulnerabilities of Two New Protocols Based on R-RAPSE
Seyed Salman Sajjadi Ghaemmaghami, Afrooz Haghbin, Mahtab, Mirmohseni

TL;DR
This paper analyzes the privacy and security vulnerabilities of two RFID authentication protocols based on R-RAPS, revealing their weaknesses and proposing improved protocols that enhance security and performance.
Contribution
It provides a formal privacy analysis of existing protocols and introduces new, more secure RFID authentication protocols addressing identified vulnerabilities.
Findings
Existing protocols are vulnerable to impersonation, DoS, and traceability attacks.
The proposed protocols eliminate the identified security weaknesses.
The new protocols demonstrate improved efficiency and security.
Abstract
Radio Frequency IDentification (RFID) is a pioneer technology which has depicted a new lifestyle for humanity in all around the world. Every day we observe an increase in the scope of RFID applications and no one cannot withdraw its numerous usage around him/herself. An important issue which should be considered is providing privacy and security requirements of an RFID system. Recently in 2014, Cai et al. proposed two improved RFID authentication protocols based on R-RAPS rules by the names of IHRMA and I2SRS. In this paper, we investigate the privacy of the aforementioned protocols based on Ouafi and Phan formal privacy model and show that both IHRMA and I2SRS protocols cannot provide private authentication for RFID users. Moreover, we showthat these protocols are vulnerable to impersonation, DoS and traceability attacks. Then, by considering the drawbacks of the studied protocols and…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRFID technology advancements · Advanced Malware Detection Techniques · User Authentication and Security Systems
