Enhancing Blackslist-Based Packet Filtration Using Blockchain in Wireless Sensor Networks

Wenjuan Li; Weizhi Meng; Yu Wang; Jin Li

doi:10.1007/978-3-030-86130-8_49

Enhancing Blackslist-Based Packet Filtration Using Blockchain in Wireless Sensor Networks

Wenjuan Li, Weizhi Meng, Yu Wang^*, Jin Li

^*Corresponding author for this work

Department of Applied Mathematics and Computer Science

Guangzhou University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

A wireless sensor network (WSN) consists of distributed sensors for monitoring network status and recording data, which is playing a major role in Internet of Things (IoT). This type of wireless network is driven by the availability of inexpensive and low-powered components. However, WSN is vulnerable to many kinds of attacks like Distributed Denial of Service (DDoS) due to its dispersed structure and unreliable transmission. In the literature, constructing a suitable distributed packet filter is a promising solution to help mitigate unwanted traffic. While how to ensure the integrity of exchanged data is a challenge as malicious internal node can share manipulated data to degrade the effectiveness of filtration. In this work, we design a blockchain-based blacklist packet filter with collaborative intrusion detection that can be deployed in WSNs. The blockchain technology is used to help build a robust blacklist for reducing unwanted traffic. In the evaluation, we investigate the performance of our filter with a real dataset and in a practical WSN environment. The results demonstrate that our proposed filter can enhance the robustness of blacklist generation.

Original language	English
Title of host publication	Wireless Algorithms, Systems, and Applications
Editors	Zhe Liu, Fan Wu, Sajal K. Das
Publisher	Springer
Publication date	2021
Pages	624-635
ISBN (Print)	9783030861292
DOIs	https://doi.org/10.1007/978-3-030-86130-8_49
Publication status	Published - 2021
Event	16^th International Conference on Wireless Algorithms, Systems, and Applications - Nanjing, China Duration: 25 Jun 2021 → 27 Jun 2021

Conference

Conference	16^th International Conference on Wireless Algorithms, Systems, and Applications
Country/Territory	China
City	Nanjing
Period	25/06/2021 → 27/06/2021

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12938 LNCS
ISSN	0302-9743

Bibliographical note

Funding Information:
Acknowledgment. This work was partially supported by National Natural Science Foundation of China (No. 61802080 and 61802077), and Guangzhou University Research Project (No. RQ2020085 and RD2020076).

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

Blockchain technology
Distributed denial-of-service attack
Network security
Packet filtration
Wireless sensor network

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10.1007/978-3-030-86130-8_49

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Li, Wenjuan ; Meng, Weizhi ; Wang, Yu et al. / Enhancing Blackslist-Based Packet Filtration Using Blockchain in Wireless Sensor Networks. Wireless Algorithms, Systems, and Applications. editor / Zhe Liu ; Fan Wu ; Sajal K. Das. Springer, 2021. pp. 624-635 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12938 LNCS).

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abstract = "A wireless sensor network (WSN) consists of distributed sensors for monitoring network status and recording data, which is playing a major role in Internet of Things (IoT). This type of wireless network is driven by the availability of inexpensive and low-powered components. However, WSN is vulnerable to many kinds of attacks like Distributed Denial of Service (DDoS) due to its dispersed structure and unreliable transmission. In the literature, constructing a suitable distributed packet filter is a promising solution to help mitigate unwanted traffic. While how to ensure the integrity of exchanged data is a challenge as malicious internal node can share manipulated data to degrade the effectiveness of filtration. In this work, we design a blockchain-based blacklist packet filter with collaborative intrusion detection that can be deployed in WSNs. The blockchain technology is used to help build a robust blacklist for reducing unwanted traffic. In the evaluation, we investigate the performance of our filter with a real dataset and in a practical WSN environment. The results demonstrate that our proposed filter can enhance the robustness of blacklist generation.",

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Li, W, Meng, W, Wang, Y & Li, J 2021, Enhancing Blackslist-Based Packet Filtration Using Blockchain in Wireless Sensor Networks. in Z Liu, F Wu & SK Das (eds), Wireless Algorithms, Systems, and Applications. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12938 LNCS, pp. 624-635, 16^th International Conference on Wireless Algorithms, Systems, and Applications, Nanjing, China, 25/06/2021. https://doi.org/10.1007/978-3-030-86130-8_49

Enhancing Blackslist-Based Packet Filtration Using Blockchain in Wireless Sensor Networks. / Li, Wenjuan; Meng, Weizhi; Wang, Yu et al.
Wireless Algorithms, Systems, and Applications. ed. / Zhe Liu; Fan Wu; Sajal K. Das. Springer, 2021. p. 624-635 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12938 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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N1 - Funding Information: Acknowledgment. This work was partially supported by National Natural Science Foundation of China (No. 61802080 and 61802077), and Guangzhou University Research Project (No. RQ2020085 and RD2020076). Publisher Copyright: © 2021, Springer Nature Switzerland AG.

PY - 2021

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N2 - A wireless sensor network (WSN) consists of distributed sensors for monitoring network status and recording data, which is playing a major role in Internet of Things (IoT). This type of wireless network is driven by the availability of inexpensive and low-powered components. However, WSN is vulnerable to many kinds of attacks like Distributed Denial of Service (DDoS) due to its dispersed structure and unreliable transmission. In the literature, constructing a suitable distributed packet filter is a promising solution to help mitigate unwanted traffic. While how to ensure the integrity of exchanged data is a challenge as malicious internal node can share manipulated data to degrade the effectiveness of filtration. In this work, we design a blockchain-based blacklist packet filter with collaborative intrusion detection that can be deployed in WSNs. The blockchain technology is used to help build a robust blacklist for reducing unwanted traffic. In the evaluation, we investigate the performance of our filter with a real dataset and in a practical WSN environment. The results demonstrate that our proposed filter can enhance the robustness of blacklist generation.

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Li W, Meng W, Wang Y, Li J. Enhancing Blackslist-Based Packet Filtration Using Blockchain in Wireless Sensor Networks. In Liu Z, Wu F, Das SK, editors, Wireless Algorithms, Systems, and Applications. Springer. 2021. p. 624-635. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12938 LNCS). doi: 10.1007/978-3-030-86130-8_49

Enhancing Blackslist-Based Packet Filtration Using Blockchain in Wireless Sensor Networks

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Keywords

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