Deployment of Robust Security Scheme in SDN Based 5G Network over NFV Enabled Cloud Environment

In this Modern era, Software Defined Network (SDN), Network Function Virtualization (NFV), and cloud computing participating of Fifth Generation (5G) network emergence. This paper presents a robust security scheme to provide fortification against major threats along with user privacy in 5G network,...

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Bibliographic Details
Published in:IEEE transactions on emerging topics in computing 2021-04, Vol.9 (2), p.866-877
Main Authors: Abdulqadder, Ihsan H., Zou, Deqing, Aziz, Israa T., Yuan, Bin, Dai, Weiqi
Format: Article
Language:English
Subjects:
5G mobile communication
Algorithms
Artificial neural networks
Authentication
cloud
Cloud computing
Cybersecurity
DDoS
Failure rates
flow table
Fuzzy logic
Handover
Network latency
NFV
Packet switching
Privacy
Robustness
SDN
Software-defined networking
Switches
Virtual networks
Washing
Wireless networks
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Summary:In this Modern era, Software Defined Network (SDN), Network Function Virtualization (NFV), and cloud computing participating of Fifth Generation (5G) network emergence. This paper presents a robust security scheme to provide fortification against major threats along with user privacy in 5G network, two additional entities are introduced. For mobile users, initial authentication is provided at access points by an inventive Highly Secured Authentication and Handover Mechanism (HS-AOHM) scheme which minimizes handover latency without loss of user privacy. Then the authorized user packets are arrived at dispatcher in which a novel Tree Based Switch Assignment (TBSA) algorithm is incorporated. TBSA mitigates the flow table overloading attack by assigning packets to underloaded switches. In controller, DDoS attack is detected with the assist of entropy analysis. Then the suspicious packets are redirected to scrubbing Virtual Network Function (sVNF) in cloud. In sVNF, suspicious packets are classified into normal packets and malicious packets by using Hybrid Fuzzy with Artificial Neural Network (HF-ANN) classifier based on packet features. Normal packets are allowed to access applications whereas malicious packets are dropped at sVNF. Extensive simulation shows security improvement in 5G network in terms of handover latency, holding time, switch failure rate, detection accuracy, and delay.
ISSN:2168-6750
2168-6750
DOI:10.1109/TETC.2018.2879714