A Secure Group-based Authentication Protocol for Machine-type Communication in LTE/LTE-A Networks

Author(s):  
Farshad Khoshroo Ashkejanpahlouie ◽  
Maede Ashouri Talouki ◽  
Behrouz Shahgholi Ghahfarokhi
2019 ◽  
Vol 31 (3) ◽  
pp. 83-96
Author(s):  
Xin Chen ◽  
ZhiQiang Liu ◽  
Jianxiong Wan ◽  
Zhuo Li

Nowadays, the technology of internet of things is developing rapidly, and the application of machine type communication (MTC) is becoming more and more extensive. Meanwhile, the 3rd generation partnership project (3GPP) organization proposes a standard architecture for MTC in LTE-A networks. However, when a large number of MTC devices handover authentication at the same time, the use of 3GPP handover mechanisms takes up more signaling resources, which will cause signaling congestion and vulnerable attacks. To solve this problem, the researchers propose an aggregated handover authentication protocol for MTC in LTE-A networks. Compared with the current 3GPP standards, the scheme can not only avoid signaling congestion, but also support more security. Finally, the researchers use colored petri nets (CPN) to model and analyze the proposed protocol. Simulation results show that the protocol is secure and achievable.


Author(s):  
Xu Chen ◽  
Zhiyong Feng ◽  
Zhiqing Wei ◽  
Ping Zhang ◽  
Xin Yuan

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7336
Author(s):  
Mincheol Paik ◽  
Haneul Ko

Frequent location updates of individual Internet of Things (IoT) devices can cause several problems (e.g., signaling overhead in networks and energy depletion of IoT devices) in massive machine type communication (mMTC) systems. To alleviate these problems, we design a distributed group location update algorithm (DGLU) in which geographically proximate IoT devices determine whether to conduct the location update in a distributed manner. To maximize the accuracy of the locations of IoT devices while maintaining a sufficiently small energy outage probability, we formulate a constrained stochastic game model. We then introduce a best response dynamics-based algorithm to obtain a multi-policy constrained Nash equilibrium. From the evaluation results, it is demonstrated that DGLU can achieve an accuracy of location information that is comparable with that of the individual location update scheme, with a sufficiently small energy outage probability.


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