Hybrid Multilayer Network Traceback to the Real Sources of Attack Devices

被引:7
|
作者
Yang, Ming-Hour [1 ]
Luo, Jia-Ning [2 ]
Vijayalakshmi, M. [3 ]
Shalinie, S. Mercy [3 ]
机构
[1] Chung Yuan Christian Univ, Dept Informat & Comp Engn, Taoyuan 320314, Taiwan
[2] Ming Chuan Univ, Dept Informat & Telecommun, Taoyuan 333321, Taiwan
[3] Thiagarajar Coll Engn, Dept Comp Sci & Engn, Network Lab, Madurai 625015, Tamil Nadu, India
关键词
Switches; IP networks; Computer crime; Autonomous systems; Internet; Object recognition; IP traceback; DDoS attack; attack mitigation; layer; 2; traceback; autonomous system; attack detection; IP spoofing; advanced persistent threats; PACKET MARKING; IP TRACEBACK;
D O I
10.1109/ACCESS.2020.3034226
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the advent of the Internet of Things (IoT), there are also major information security risks hidden behind them. There are major information security risks hidden behind them. Attackers can conceal their actual attack locations by spoofing IP addresses to attack IoT devices, law enforcement cannot easily track them. Therefore, a method to trace stealth attacks is required. Conventional IP traceback methods that traceback only attackers on the network layer and cannot infer the path information of a packet traversing the switch. This article proposes a method to simultaneously traceback attack sources at the network layer and the data link layer with only one single packet. Even if the core network contains a switch or if multiple attackers launch attacks from different locations, the method can correctly traceback the true devices responsible for the attacks, and its achievements include a zero false negative rate and a low false positive rate.
引用
收藏
页码:201087 / 201097
页数:11
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