Application of Machine Learning for Channel based Message Authentication in Mission Critical Machine Type Communication

by   Andreas Weinand, et al.

The design of robust wireless communication systems for industrial applications such as closed loop control processes has been considered manifold recently. Additionally, the ongoing advances in the area of connected mobility have similar or even higher requirements regarding system reliability and availability. Beside unfulfilled reliability requirements, the availability of a system can further be reduced, if it is under attack in the sense of violation of information security goals such as data authenticity or integrity. In order to guarantee the safe operation of an application, a system has at least to be able to detect these attacks. Though there are numerous techniques in the sense of conventional cryptography in order to achieve that goal, these are not always suited for the requirements of the applications mentioned due to resource inefficiency. In the present work, we show how the goal of message authenticity based on physical layer security (PHYSEC) can be achieved. The main idea for such techniques is to exploit user specific characteristics of the wireless channel, especially in spatial domain. Additionally, we show the performance of our machine learning based approach and compare it with other existing approaches.


page 1

page 2

page 3

page 4


Physical Layer Authentication for Mission Critical Machine Type Communication using Gaussian Mixture Model based Clustering

The application of Mission Critical Machine Type Communication (MC-MTC) ...

Providing Physical Layer Security for Mission Critical Machine Type Communication

The design of wireless systems for Mission Critical Machine Type Communi...

Security Solutions for Local Wireless Networks in Control Applications based on Physical Layer Security

The Design of new wireless communication systems for industrial applicat...

An overview of wireless sensor network security attacks: Mode of operation, severity and mitigation techniques

Wireless Sensor Network (WSN) is the network of the future. As it gradua...

Supervised Learning for Physical Layer based Message Authentication in URLLC scenarios

PHYSEC based message authentication can, as an alternative to convention...

Machine Learning for Intelligent Authentication in 5G-and-Beyond Wireless Networks

The fifth generation (5G) and beyond wireless networks are critical to s...

On Partly Overloaded Spreading Sequences with Variable Spreading Factor

Future wireless communications systems are expected to support multi-ser...

Please sign up or login with your details

Forgot password? Click here to reset