Efficient serverless radio-frequency identification mutual authentication and secure tag search protocols with untrusted readers

2016 ◽  
Vol 10 (5) ◽  
pp. 262-271 ◽  
Author(s):  
Collins Mtita ◽  
Jacques Delort ◽  
Maryline Laurent
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Mutual Authentication ◽  
Frequency Identification ◽  
Tag Search

scholarly journals Cryptanalysis of ultralightweight mutual authentication protocol for radio frequency identification enabled Internet of Things networks

2018 ◽  
Vol 14 (8) ◽  
pp. 155014771879512 ◽  
Author(s):  
Madiha Khalid ◽  
Umar Mujahid ◽  
Muhammad Najam-ul-Islam
Keyword(s):  
Internet Of Things ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Mutual Authentication ◽  
Authentication Protocol ◽  
Wireless Channel ◽  
Frequency Identification ◽  
Mutual Authentication Protocol ◽  
Attack Models ◽  
Internet Of Thing

Internet of Things is one of the most important components of modern technological systems. It allows the real time synchronization and connectivity of devices with each other and with the rest of the world. The radio frequency identification system is used as node identification mechanism in the Internet of Thing networks. Since Internet of Things involve wireless channel for communication that is open for all types of malicious adversaries, therefore many security protocols have been proposed to ensure encryption over wireless channel. To reduce the overall cost of radio frequency identification enabled Internet of Thing network security, the researchers use simple bitwise logical operations such as XOR, AND, OR, and Rot and have proposed many ultralightweight mutual authentication protocols. However, almost all the previously proposed protocols were later found to be vulnerable against several attack models. Recently, a new ultralightweight mutual authentication protocol has been proposed which involves only XOR and Rotation functions in its design and claimed to be robust against all possible attack models. In this article, we have performed cryptanalysis of this recently proposed ultralightweight mutual authentication protocol and found many pitfalls and vulnerabilities in the protocol design. We have exploited weak structure of the protocol messages and proposed three attacks against the said protocol: one desynchronization and two full disclosure attacks.

scholarly journals A Lightweight RFID Mutual Authentication Protocol with PUF

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2957 ◽  
Author(s):  
Feng Zhu ◽  
Peng Li ◽  
He Xu ◽  
Ruchuan Wang
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Large Scale ◽  
Mutual Authentication ◽  
Authentication Protocol ◽  
Security And Privacy ◽  
Great Loss ◽  
Physically Unclonable Functions ◽  
Frequency Identification ◽  
Mutual Authentication Protocol

Radio frequency identification is one of the key techniques for Internet of Things, which has been widely adopted in many applications for identification. However, there exist various security and privacy issues in radio frequency identification (RFID) systems. Particularly, one of the most serious threats is to clone tags for the goal of counterfeiting goods, which causes great loss and danger to customers. To solve these issues, lots of authentication protocols are proposed based on physical unclonable functions that can ensure an anti-counterfeiting feature. However, most of the existing schemes require secret parameters to be stored in tags, which are vulnerable to physical attacks that can further lead to the breach of forward secrecy. Furthermore, as far as we know, none of the existing schemes are able to solve the security and privacy problems with good scalability. Since many existing schemes rely on exhaustive searches of the backend server to validate a tag and they are not scalable for applications with a large scale database. Hence, in this paper, we propose a lightweight RFID mutual authentication protocol with physically unclonable functions (PUFs). The performance analysis shows that our proposed scheme can ensure security and privacy efficiently in a scalable way.

A Lightweight Serverless RFID Tag Search Protocol

2013 ◽  
Vol 684 ◽  
pp. 531-534 ◽  
Author(s):  
Yun Tian ◽  
Gong Liang Chen ◽  
Jian Hua Li
Keyword(s):  
Radio Frequency ◽  
Small Group ◽  
Radio Frequency Identification ◽  
Security Analysis ◽  
Data Integrity ◽  
Search Problem ◽  
Data Confidentiality ◽  
Rfid Tag ◽  
Frequency Identification ◽  
Tag Search

Radio frequency identification (RFID) has been applied to a variety of domains. RFID tag search problem becomes significant when the total number of tags is very large and only the data of a particular tag or a small group of tags are required. This paper proposes a lightweight serverless RFID tag search protocol in conformity with EPC C1G2 standards. The computation operations in the protocol are only PRNG and XOR. The security analysis shows that the protocol achieves authentication, data confidentiality, untraceability and data integrity.

RFID Authentication and Communication Protocol Based on the Dynamic Active Tag ID and Key

2013 ◽  
Vol 336-338 ◽  
pp. 1913-1919
Author(s):  
Xiao Hong Zhang ◽  
Hui Qin Wang ◽  
He Bo
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Communication Protocol ◽  
Mutual Authentication ◽  
Authentication Protocol ◽  
Replay Attack ◽  
Active Rfid ◽  
Frequency Identification

The reliability of Radio Frequency Identification (RFID) mechanism is disturbed by illegal tracking and information intercepted.The paper proposed a new active RFID authentication protocol based on the dynamic tag ID and encryption key,which transforms the tag ID using chaotic transformation during authentication and communication between the reader and tags,and realizes mutual authentication of the reader and tags.Through the analysis of security, the protocol not only can ensure the integrity, fresh and confidentiality of data, but also can effectively prevent illegal tracking labels and replay attack.

scholarly journals Cloud-based radio frequency identification authentication protocol with location privacy protection

2018 ◽  
Vol 14 (1) ◽  
pp. 155014771875496
Author(s):  
Qingkuan Dong ◽  
Mengmeng Chen ◽  
Lulu Li ◽  
Kai Fan
Keyword(s):  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Cloud Storage ◽  
Location Privacy ◽  
Mutual Authentication ◽  
Cloud Service ◽  
Authentication Protocol ◽  
Identification System ◽  
Cloud Service Provider ◽  
Frequency Identification

With the development of the Internet of things and cloud storage, a large number of objects access to the Internet through radio frequency identification technology, cloud-based radio frequency identification system attracts more attention because it can reduce the costs of system maintenance by renting the cloud storage service on demand. Especially, it is very suitable for the small- and medium-sized enterprises. However, the security and privacy issues of the cloud-based radio frequency identification system are more serious than traditional radio frequency identification systems. The link between the reader and the cloud is no longer secure, and the cloud service provider is not trusted. Both the location privacy of the reader and the data privacy of the radio frequency identification system are not able to be exposed to the cloud service provider. In this article, a cloud-based radio frequency identification authentication protocol is proposed. It considers not only the mutual authentication between the reader and the tag, but also the security of data transmission between the reader and the cloud database. In particular, in order to solve the reader’s location privacy problem, the proposed scheme introduces MIPv6 network framework without adding additional infrastructure. The experimental verification with AVISPA tool shows that the protocol satisfies the mutual authentication property. Compared with other cloud-based schemes, the proposed protocol has obvious advantages in deployment cost, scalability, real-time authentication, and the tag’s computational complexity.

Sign in / Sign up

Export Citation Format

Share Document