SDN-based Predictive Alarm Manager for Security Attacks Detection at the IoT Gateways

被引:4
作者
Thorat, Pankaj [1 ]
Dubey, Niraj Kumar [1 ]
Khetan, Kunal [2 ]
Challa, Rajesh [3 ]
机构
[1] Samsung R&D Inst, Network Cloud, Bangalore, Karnataka, India
[2] Indian Inst Technol, Dept Math, New Delhi, India
[3] Samsung R&D Inst, Core & Automat, Bangalore, Karnataka, India
来源
2021 IEEE 18TH ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC) | 2021年
关键词
SDN; IoT; Machine learning; Network security; Alarm manager;
D O I
10.1109/CCNC49032.2021.9369623
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The growing adoption of IoT devices is creating a huge positive impact on human life. However, it is also making the network more vulnerable to security threats. One of the major threats is malicious traffic injection attack, where the hacked IoT devices overwhelm the application servers causing large-scale service disruption. To address such attacks, we propose a Software Defined Networking based predictive alarm manager solution for malicious traffic detection and mitigation at the IoT Gateway. Our experimental results with the proposed solution confirms the detection of malicious flows with nearly 95% precision on average and at its best with around 99% precision.
引用
收藏
页数:2
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