An Adaptive and Lightweight Solution to Detect Mixed Rate IP Spoofed DDoS Attack in IoT Ecosystem

被引：0

作者：

Bhale, Pradeepkumar ^{[1
]}

Biswas, Santosh ^{[2
]}

Nandi, Sukumar ^{[1
]}

机构：

[1] IIT Guwahati, Dept CSE, Gauhati, India

[2] IIT Bhilai, Dept EECS, Bhilai, India

来源：

IEEE INDICON: 15TH IEEE INDIA COUNCIL INTERNATIONAL CONFERENCE | 2018年

关键词：

Internet of Things; Lightweight; Edge Device; Packet analysis; Attack detection;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Internet of Things (IoT) is a fast-growing and promising technology segment that aims to build advanced developments in automation and control, communication technologies, intelligent sensors etc. Despite various gains, it suffers from several security breaches or device malfunction that provoke catastrophic crashes in the IoT ecosystem. Distributed denial of service (DDoS) attack is a serious peril to the availability of IoT devises and services. DDoS is a diverse attack and the detection of mixed (High/Low) rate IP Spoofed DDoS attack in the IoT ecosystem is an arduous job because of its surreptitious nature and mixed rate traffic pattern. In this paper, we propose an adaptive and lightweight solution which detects and mitigates the mixed rate IP spoofed DDoS attack in the IoT ecosystem. The approach is implemented on the Contiki OS and the experimental results show that the solution is adaptive and is able to identify the attack with 99.1% accuracy.

引用

页数：6

共 34 条

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[10] OPTIMIST: Lightweight and Transparent IDS With Optimum Placement Strategy to Mitigate Mixed-Rate DDoS Attacks in IoT Networks
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