Publication | Closed Access
Secure Deep Neural (SeDeN) Framework for 5G Wireless Networks
13
Citations
15
References
2019
Year
Unknown Venue
EngineeringInformation SecuritySecure Deep Neural5G SystemWireless SecurityProgrammable 5GSecure CommunicationInternet Of ThingsCurrent Generation NetworkNetwork SecurityIntrusion Detection SystemThreat DetectionComputer EngineeringComputer ScienceSecure Deep LearningData SecurityCryptographyAttack ModelSecurity
The current generation network is being rapidly replaced by programmable 5G network. 5G wireless network is also expected to be core network for various industrial use cases. Any kind of security breach will lead to disruption of service to the users, increase in expenditure to the service providers and many other unfavourable effects. So to prevent the disruption of networks, we have proposed a secure deep learning based framework that is intelligent to detect attacks and prevent propagation of attack. The framework was tested on emulated wireless network and the result showed an accuracy of 97.8% which proved the efficiency of the framework.
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