IoTAthena: Unveiling IoT Device Activities From Network Traffic

The recent spate of cyber attacks towards Internet of Things (IoT) devices in smart homes calls for effective techniques to understand, characterize, and unveil IoT device activities. In this paper, we present a new system, named IoTAthena, to unveil IoT device activities from raw network traffic co...

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Vydáno v:IEEE transactions on wireless communications Ročník 21; číslo 1; s. 651 - 664
Hlavní autoři: Wan, Yinxin, Xu, Kuai, Wang, Feng, Xue, Guoliang
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.01.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Communications traffic
Cybersecurity
Internet of Things
IP (Internet Protocol)
IP packets
network traffic collection and analysis
Object recognition
polynomial time algorithms
Polynomials
Security
Servers
Smart buildings
Smart homes
Smart phones
time-sensitive subsequence matching
unveiling IoT device activities
Wireless communication
Wireless networking
ISSN:1536-1276, 1558-2248
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Shrnutí:The recent spate of cyber attacks towards Internet of Things (IoT) devices in smart homes calls for effective techniques to understand, characterize, and unveil IoT device activities. In this paper, we present a new system, named IoTAthena, to unveil IoT device activities from raw network traffic consisting of timestamped IP packets. IoTAthena characterizes each IoT device activity using an activity signature consisting of an ordered sequence of IP packets with inter-packet time intervals. IoTAthena has two novel polynomial time algorithms, sigMatch and actExtract . For any given signature, sigMatch can capture all matches of the signature in the raw network traffic. Using sigMatch as a subfunction, actExtract can accurately unveil the sequence of various IoT device activities from the raw network traffic. Using the network traffic of heterogeneous IoT devices collected at the router of a real-world smart home testbed and a public IoT dataset, we demonstrate that IoTAthena is able to characterize and generate activity signatures of IoT device activities and accurately unveil the sequence of IoT device activities from raw network traffic.
Bibliografie:ObjectType-Article-1
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ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2021.3098608