PRAPD: A novel received signal strength–based approach for practical rogue access point detection. (August 2018)
- Record Type:
- Journal Article
- Title:
- PRAPD: A novel received signal strength–based approach for practical rogue access point detection. (August 2018)
- Main Title:
- PRAPD: A novel received signal strength–based approach for practical rogue access point detection
- Authors:
- Wu, Wenjia
Gu, Xiaolin
Dong, Kai
Shi, Xiaomin
Yang, Ming - Abstract:
- Rogue access point attack is one of the most important security threats for wireless local networks and has attracted great attention from both academia and industry. Utilizing received signal strength information is an effective solution to detect rogue access points. However, the received signal strength information is formed by multi-dimensional received signal strength vectors that are collected by multiple sniffers, and these received signal strength vectors are inevitably lacking in some dimensions due to the limited wireless transmission range and link instability. This will result in high false alarm rate for rogue access point detection. To solve this issue, we propose a received signal strength–based practical rogue access point detection approach, considering missing received signal strength values in received signal strength vectors collected in practical environment. First, we present a preprocessing scheme for received signal strength vectors, eliminating missing values by means of data filling, filtering, and averaging. Then, we perform clustering analysis on the received signal strength vectors, where we design a distance measurement method that dynamically uses partial components in received signal strength vectors to minimize the distance deviation due to missing values. Finally, we conduct the experiments to evaluate the performance of the practical rogue access point detection. The results demonstrate that the practical rogue access point detection canRogue access point attack is one of the most important security threats for wireless local networks and has attracted great attention from both academia and industry. Utilizing received signal strength information is an effective solution to detect rogue access points. However, the received signal strength information is formed by multi-dimensional received signal strength vectors that are collected by multiple sniffers, and these received signal strength vectors are inevitably lacking in some dimensions due to the limited wireless transmission range and link instability. This will result in high false alarm rate for rogue access point detection. To solve this issue, we propose a received signal strength–based practical rogue access point detection approach, considering missing received signal strength values in received signal strength vectors collected in practical environment. First, we present a preprocessing scheme for received signal strength vectors, eliminating missing values by means of data filling, filtering, and averaging. Then, we perform clustering analysis on the received signal strength vectors, where we design a distance measurement method that dynamically uses partial components in received signal strength vectors to minimize the distance deviation due to missing values. Finally, we conduct the experiments to evaluate the performance of the practical rogue access point detection. The results demonstrate that the practical rogue access point detection can significantly reduce the false alarm rate while ensuring a high detection rate. … (more)
- Is Part Of:
- International journal of distributed sensor networks. Volume 14:Number 8(2018)
- Journal:
- International journal of distributed sensor networks
- Issue:
- Volume 14:Number 8(2018)
- Issue Display:
- Volume 14, Issue 8 (2018)
- Year:
- 2018
- Volume:
- 14
- Issue:
- 8
- Issue Sort Value:
- 2018-0014-0008-0000
- Page Start:
- Page End:
- Publication Date:
- 2018-08
- Subjects:
- Wireless security -- rogue access point detection -- received signal strength -- clustering analysis
Sensor networks -- Periodicals
Intelligent agents (Computer software) -- Periodicals
Multisensor data fusion -- Periodicals
681.2 - Journal URLs:
- http://www.informaworld.com/smpp/title~content=t714578688~db=all ↗
http://www.metapress.com/openurl.asp?genre=journal&issn=1550-1329 ↗
http://dsn.sagepub.com/ ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1177/1550147718795838 ↗
- Languages:
- English
- ISSNs:
- 1550-1329
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.186400
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