Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/91606
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Computing | en_US |
dc.creator | Li, WJ | en_US |
dc.creator | Meng, WZ | en_US |
dc.creator | Wang, Y | en_US |
dc.creator | Li, J | en_US |
dc.date.accessioned | 2021-11-17T08:51:28Z | - |
dc.date.available | 2021-11-17T08:51:28Z | - |
dc.identifier.issn | 0302-9743 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/91606 | - |
dc.description | International Conference on Wireless Algorithms, Systems, and Applications (WASA 2021), 25-27 June 2021, Nanjing, China | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.rights | © Springer Nature Switzerland AG 2021 | en_US |
dc.rights | This version of the contribution has been accepted for publication, after peer review (when applicable) but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-030-86130-8_49. Use of this Accepted Version is subject to the publisher’s Accepted Manuscript terms of use https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms. | en_US |
dc.subject | Wireless sensor network | en_US |
dc.subject | Distributed denial-of-service attack | en_US |
dc.subject | Blockchain technology | en_US |
dc.subject | Network security | en_US |
dc.subject | Packet filtration | en_US |
dc.title | Enhancing blackslist-based packet filtration using blockchain in wireless sensor networks | en_US |
dc.type | Conference Paper | en_US |
dc.identifier.spage | 624 | en_US |
dc.identifier.epage | 635 | en_US |
dc.identifier.volume | 12938 LNCS | en_US |
dc.identifier.doi | 10.1007/978-3-030-86130-8_49 | en_US |
dcterms.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. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2021, v. 12938 LNCS, p. 624-635 | en_US |
dcterms.isPartOf | Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) | en_US |
dcterms.issued | 2021 | - |
dc.relation.conference | International Conference on Wireless Algorithms, Systems, and Applications [WASA] | en_US |
dc.identifier.eissn | 1611-3349 | en_US |
dc.description.validate | 202111 bcwh | en_US |
dc.description.oa | Accepted Manuscript | en_US |
dc.identifier.FolderNumber | a1068-n06 | - |
dc.identifier.SubFormID | 43873 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China (No. 61802080 and 61802077) | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Li_Blackslist-Based_Packet_Filtration.pdf | Pre-Published version | 385.93 kB | Adobe PDF | View/Open |
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