Title
5G Early Data Transmission (Rel-16): Security Review and Open Issues
Abstract
The fifth-generation technology is called to support the next generation of wireless services and realize the "Internet of Everything" through Machine-Type Communications and Cellular Internet of Things optimizations. As part of these optimizations, Release 15 introduced a new mechanism, known as Early Data Transmission (EDT), that allows the transmission of data during the Random Access procedure. This feature, intended particularly for infrequent and small data transmissions, aims to reduce the latency and the power consumption of user equipments. Nonetheless, despite the importance of this novelty and the general agreement about its effectiveness, there are few papers in the literature that provide insight into its implementation and analyze the advantages and disadvantages of its two different implementation options (Control and User Plane). Moreover, although security is recognized as a crucial aspect for the correct deployment of this technology, we have not found any paper that reviews the security issues and features of this mechanism. As a consequence of such a lack of papers and the complexity of mobile network protocols, there is a divide between security experts and EDT researchers, that prevents the easy development of security schemes. To overcome this important gap, this paper offers a tutorial of EDT and its security, analyzing its main vulnerabilities and concluding with a set of recommendations for researchers and manufacturers. In particular, due to the simplifications in the protocols done by EDT, vulnerabilities such as packet injection, replay attacks and injection of fake values to disable EDT have been found.
Year
DOI
Venue
2022
10.1109/ACCESS.2022.3203722
IEEE ACCESS
Keywords
DocType
Volume
Security, 5G mobile communication, Internet of Things, 3GPP, Data communication, Object recognition, Communication system security, 5G mobile communication, Cellular Internet of Things (CIoT), early data transmission (EDT), massive machine-type communication (mMTC), security
Journal
10
ISSN
Citations 
PageRank 
2169-3536
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
David Segura100.34
Jorge Munilla200.34
Emil J. Khatib300.34
Raquel Barco400.34