Recent Developments in Authentication Schemes Used in Machine-Type Communication Devices in Machine-to-Machine Communication: Issues and Challenges
Source abstract
Abstract
Machine-to-machine (M2M) communication plays a fundamental role in autonomous IoT (Internet of Things)-based infrastructure, a vital part of the fourth industrial revolution. Machine-type communication devices (MTCDs) regularly share extensive data without human intervention while making all types of decisions. These decisions may involve controlling sensitive ventilation systems maintaining uniform temperature, live heartbeat monitoring, and several different alert systems. Many of these devices simultaneously share data to form an automated system. The data shared between machine-type communication devices (MTCDs) is prone to risk due to limited computational power, internal memory, and energy capacity. Therefore, securing the data and devices becomes challenging due to factors such as dynamic operational environments, remoteness, harsh conditions, and areas where human physical access is difficult. One of the crucial parts of securing MTCDs and data is authentication, where each device must be verified before data transmission. Several M2M authentication schemes have been proposed in the literature, however, the literature lacks a comprehensive overview of current M2M authentication techniques and the challenges associated with them. To utilize a suitable authentication scheme for specific scenarios, it is important to understand the challenges associated with it. Therefore, this article fills this gap by reviewing the state-of-the-art research on authentication schemes in MTCDs specifically concerning application categories, security provisions, and performance efficiency.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Authentication Protocols Security · User Authentication and Security Systems · Physical Unclonable Functions (PUFs) and Hardware Security
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (78)
Show source-provided references
1. Associations between problematic internet use and mental health outcomes of students: A meta-analytic review
2. Internet usage worldwide—statistics & facts
3. Internet of medical things privacy and security: Challenges, solutions, and future trends from a new perspective10.3390/su15043317 ↗
4. IoT security challenges for smart homes
5. Internet of things key technologies and architectures research in information processing
6. Future internet: The internet of things architecture, possible applications and key challenges
7. Yang · Internet of Things · 2012 · 388
8. Technology framework of the Internet of Things and its application
9. Internet of things (IoT) security intelligence: A comprehensive overview, machine learning solutions and research directions10.1007/s11036-022-01937-3 ↗
10. Data integrity: A security threat for internet of things and cyber-physical systems
11. Lightweight authentication for IoT/Cloud-based forensics in intelligent data computing10.1016/j.future.2020.11.010 ↗
12. Security and privacy in IoT: A survey10.1007/s11277-020-07649-9 ↗
13. Preserving data confidentiality in Internet of Things10.1007/s42979-020-00429-z ↗
14. Property rights theory, bundles of rights on IoT data, and the EU data act
15. A survey on security issues of M2M communications in cyber-physical systems
16. Identity based cryptography for mobile ad hoc networks
17. Ad-hoc collision avoidance system for industrial IoT
18. A survey on hardware trojan detection techniques
19. A survey of hardware trojan taxonomy and detection10.1109/MDT.2010.7 ↗
20. Information leakage via electromagnetic emanation and effectiveness of averaging technique
21. A. Brandt, J. Buron, and G. Porcu, “Home automation routing requirements in low-power and lossy networks,” Internet Engineering Task Force (IETF), 2010.10.17487/rfc5826 ↗
22. Authenticated and efficient key management for wireless ad hoc networks
23. Vampire attacks: Draining life from wireless ad hoc sensor networks10.1109/TMC.2011.274 ↗
24. The resurrecting duckling: Security issues for ubiquitous computing
25. Attacks against process control systems: Risk assessment, detection, and response
26. The pursuit of citizens’ privacy: A privacy-aware smart city is possible10.1109/MCOM.2013.6525606 ↗
27. Smart nest thermostat: A smart spy in your home
28. Distributed detection of node replication attacks in sensor networks
29. Walters · Security in Distributed, Grid, Mobile, and Pervasive Computing · 2007 · 1 · 36710.1201/9780849379253-20 ↗
30. D. G. Padmavathi and M. Shanmugapriya, “A survey of attacks, security mechanisms and challenges in wireless sensor networks,” arXiv preprint arXiv:0909.0576, 2009.
31. Classification of RFID attacks
32. A survey on privacy and security of Internet of Things10.1016/j.cosrev.2020.100312 ↗
33. Review of security challenges in healthcare internet of things10.1007/s11276-020-02340-0 ↗
34. A survey on access control in the age of internet of things10.1109/JIOT.2020.2969326 ↗
35. Distributed access control with privacy support in wireless sensor networks10.1109/TWC.2011.072511.102283 ↗
36. DP²AC: Distributed privacy-preserving access control in sensor networks
37. A robust and energy efficient authentication protocol for industrial internet of things10.1109/JIOT.2017.2787800 ↗
38. Group-based authentication and key agreement with dynamic policy updating for MTC in LTE-A networks10.1109/JIOT.2015.2495321 ↗
39. SEGB: Security enhanced group based AKA protocol for M2M communication in an IoT enabled LTE/LTE-A network10.1109/ACCESS.2017.2788919 ↗
40. Lightweight and secure mutual authentication scheme for IoT devices using CoAP protocol10.32604/csse.2022.020888 ↗
41. Designing secure lightweight blockchain-enabled RFID-based authentication protocol for supply chains in 5G mobile edge computing environment10.1109/TII.2019.2942389 ↗
42. A light weight authentication protocol for IoT-enabled devices in distributed cloud computing environment10.1016/j.future.2016.12.028 ↗
43. A privacy-preserving and provable user authentication scheme for wireless sensor networks based on internet of things security10.1007/s12652-016-0345-8 ↗
44. B. Blanchet, V. Cheval, X. Allamigeon, and B. Smyth, “ProVerif: Cryptographic protocol verifier in the computational model,” Oxford, UK: IEEE, pp. 16–30, 2010.
45. Integrating cellular networks, smart grid, and renewable energy: Analysis, architecture, and challenges10.1109/ACCESS.2015.2507781 ↗
46. Sharing it my way: Efficient M2M access in LTE/LTE-A networks
47. Machine-type-communication (MTC) device grouping algorithm for congestion avoidance of MTC oriented LTE network
48. Group-based authentication and key agreement10.1007/s11277-010-0104-7 ↗
49. SE-AKA: A secure and efficient group authentication and key agreement protocol for LTE networks10.1016/j.comnet.2013.08.003 ↗
50. EAP-based group authentication and key agreement protocol for machine-type communications10.1155/2013/304601 ↗
51. A novel group access authentication and key agreement protocol for machine-type communication10.1002/ett.2635 ↗
52. A group-based security protocol for machine-type communications in LTE-advanced10.1007/s11276-014-0788-9 ↗
53. GBAAM: Group-based access authentication for MTC in LTE networks10.1002/sec.1252 ↗
54. A privacy-preserving group authentication protocol for machine-type communication in LTE/LTE-A networks10.1002/sec.1455 ↗
55. GLARM: Group-based lightweight authentication scheme for resource-constrained machine to machine communications10.1016/j.comnet.2016.02.007 ↗
56. GBS-AKA: Group-based secure authentication and key agreement for M2M in 4G network
57. Krebsonsecurity, “all about skimmers,” 2017. Accessed: Dec. 06, 2023. [Online]. Available: http://krebsonsecurtiy.com/all-about-skimmers/
58. Security and privacy considerations for wireless sensor networks in smart home environments
59. Cyber security and privacy issues in smart grids10.1109/SURV.2011.122111.00145 ↗
60. An efficient mutual authentication and access control scheme for wireless sensor networks in healthcare
61. An access control scheme in wireless sensor networks
62. Achieving distributed user access control in sensor networks10.1016/j.adhoc.2011.01.011 ↗
63. Guide to elliptic curve cryptography
64. Accountable and privacy-enhanced access control in wireless sensor networks10.1109/TWC.2014.2347311 ↗
65. Two-factor user authentication in wireless sensor networks10.1109/TWC.2008.080128 ↗
66. Improved two-factor user authentication in wireless sensor networks
67. A robust ser authentication scheme sing dynamic identity in wireless sensor networks10.1007/s11277-013-1547-4 ↗
68. An authentication scheme with identity-based cryptography for M2M security in cyber-physical systems10.1002/sec.1407 ↗
69. A three-factor anonymous authentication scheme for wireless sensor networks in internet of things environments10.1016/j.jnca.2017.07.001 ↗
70. An untraceable temporal-credential-based two-factor authentication scheme using ECC for wireless sensor networks10.1016/j.jnca.2016.10.001 ↗
71. Security enhanced user authentication protocol for wireless sensor networks using elliptic curves cryptography10.3390/s140610081 ↗
72. The security implications of quantum cryptography and quantum computing10.1016/S1353-4858(20)30105-7 ↗
73. Zareen · Internet of Things. Advances in Information and Communication Technology · 2024 · 442
74. PUF-based mutual authentication and key exchange protocol for peer-to-peer IoT applications
75. Bonandrini · Machine Learning for Networking · 2019 · 287
76. Blockchain-based scheme for authentication and capability-based access control in IoT environment
77. An enhanced mutual authentication and security protocol for IoT and cloud server
78. Thammarat · A Secure Authentication and Key Exchange Protocol for M2M Communication · 2021