ArticleSensors (Basel, Switzerland)2018
A Lightweight RFID Mutual Authentication Protocol Based on Physical Unclonable Function.
Article in Sensors (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed.
- Hash and Physical Unclonable Function (PUF)-Based Mutual Authentication Mechanism.Sensors (Basel, Switzerland) · 2023Article
- Machine Learning for Authentication and Authorization in IoT: Taxonomy, Challenges and Future Research Direction.Sensors (Basel, Switzerland) · 2021Review
- A Secure IoT-Based Authentication System in Cloud Computing Environment.Sensors (Basel, Switzerland) · 2020Article
- Physical Unclonable Function and Hashing Are All You Need to Mutually Authenticate IoT Devices.Sensors (Basel, Switzerland) · 2020Article
- SKINNY-Based RFID Lightweight Authentication Protocol.Sensors (Basel, Switzerland) · 2020Article
- A Hash-Based RFID Authentication Mechanism for Context-Aware Management in IoT-Based Multimedia Systems.Sensors (Basel, Switzerland) · 2019Article
- A Lightweight RFID Mutual Authentication Protocol with PUF.Sensors (Basel, Switzerland) · 2019Article
- A Survey of Internet of Things (IoT) Authentication Schemes.Sensors (Basel, Switzerland) · 2019Article
- IoT Device Security: Challenging "A Lightweight RFID Mutual Authentication Protocol Based on Physical Unclonable Function".Sensors (Basel, Switzerland) · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the fast development of the Internet of Things, Radio Frequency Identification (RFID) has been widely applied into many areas. Nevertheless, security problems of the RFID technology are also gradually exposed, when it provides life convenience. In particular, the appearance of a large number of fake and counterfeit goods has caused massive loss for both producers and customers, for which the clone tag is a serious security threat. If attackers acquire the complete information of a tag, they can then obtain the unique identifier of the tag by some technological means. In general, because there is no extra identifier of a tag, it is difficult to distinguish an original tag and its clone one. Once the legal tag data is obtained, attackers can be able to clone this tag. Therefore, this paper shows an efficient RFID mutual verification protocol. This protocol is based on the Physical Unclonable Function (PUF) and the lightweight cryptography to achieve efficient verification of a single tag. The protocol includes three process: tag recognition, mutual verification and update. The tag recognition is that the reader recognizes the tag; mutual verification is that the reader and tag mutually verify the authenticity of each other; update is supposed to maintain the latest secret key for the following verification. Analysis results show that this protocol has a good balance between performance and security.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.