Joint Space-Time Sparsity Based Jamming Detection for Mission-Critical mMTC Networks

01/03/2023
by   Shao-Di Wang, et al.
0

For mission-critical massive machine-type communications (mMTC) applications, the messages are required to be delivered in real-time. However, due to the weak security protection capabilities of the low-cost and low-complexity machine-type devices, active jamming attack in the uplink access is a serious threat. Uplink access jamming (UAJ) can increase the number of dropped/retransmitted packets and restrict or prevent the normal device access. To tackle this vital and challenging problem, we propose a novel UAJ detection method based on the joint space-time sparsity (JSTS). Our key insight is that the JSTS-based feature will be significantly impacted if UAJ happens, since only a small fraction of the devices are active and the traffic pattern for each device is sporadic in the normal state. Unlike the existing detection methods under batch mode (i.e., all sample observations are collected before making a decision), the JSTS-based detection is performed in a sequential manner by processing the received signals one by one, which can detect UAJ as quickly as possible. Moreover, the proposed JSTS-based method does not rely on the prior knowledge of the attackers, since it only cares the abrupt change in the JSTS-based feature on each frame. Numerical results evaluate and confirm the effectiveness of our method.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
03/11/2022

Deep Learning-Based Blind Multiple User Detection for Grant-free SCMA and MUSA Systems

Grant-free random access and uplink non-orthogonal multiple access (NOMA...
research
06/21/2021

Deep Learning-Based Active User Detection for Grant-free SCMA Systems

Grant-free random access and uplink non-orthogonal multiple access (NOMA...
research
03/23/2020

Compressive Sensing Based Massive Access for IoT Relying on Media Modulation Aided Machine Type Communications

A fundamental challenge of the large-scale Internet-of-Things lies in ho...
research
09/14/2022

Joint User and Data Detection in Grant-Free NOMA with Attention-based BiLSTM Network

We consider the multi-user detection (MUD) problem in uplink grant-free ...
research
10/02/2020

Random Access with Layered Preambles based on NOMA for Two Different Types of Devices in MTC

In machine-type communication (MTC), random access has been employed for...
research
06/21/2021

Deep Neural Network-Based Blind Multiple User Detection for Grant-free Multi-User Shared Access

Multi-user shared access (MUSA) is introduced as advanced code domain no...

Please sign up or login with your details

Forgot password? Click here to reset