Eliminating rouge femtocells based on distance bounding protocol and geographic information

Chen, Chien‐Ming; Chen, Yao-Hsin; Lin, Yue-Hsun; Sun, Hung–Min

doi:10.1016/j.eswa.2013.07.068

Cited by 19 publications

(4 citation statements)

References 10 publications

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“…Conversely, by implementing user-side detection with existing wireless NICs [24][25][26][27][28], statistical analysis of captured frames may be more suitable for detection, particularly for type 3 rogue-APs.…”

Section: Detection On Unguided Mediummentioning

confidence: 99%

Client-side rogue access-point detection using a simple walking strategy and round-trip time analysis

Kitisriworapan

Jansang

Phonphoem

2020

J Wireless Com Network

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Traditional rogue access-point (AP) detection mechanisms are employed in network administration to protect network infrastructure and organization; however, these mechanisms do not protect end users from connecting to a rogue-AP. In this paper, a rogue-AP detection technique on the mobile-user side is proposed. By using a simple method involving walking, the round-trip time (RTT) and the modulation and coding scheme values are obtained, and a more accurate transmission rate for particular RTT values is thereby calculated. Further, the cleansed data are classified using the k-means method and the cumulative distribution function for the detection process. The results demonstrate that a rogue-AP can be detected with an F-measure value of up to 0.9. In the future, the proposed algorithm can be implemented as an application installed on mobile devices so that nontechnical users can detect rogue-APs.

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Section: Detection On Unguided Mediummentioning

confidence: 99%

Client-side rogue access-point detection using a simple walking strategy and round-trip time analysis

Kitisriworapan

Jansang

Phonphoem

2020

J Wireless Com Network

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“…According to the rogue BSs detection approach based on distance bounding proposed in [15], a rogue BS can duplicate LAC of a legitimate BS with rational distance to prevent from being identified. Since a rogue BS in the same place could be located and cracked by ISPs, it must change its location from time to time.…”

Section: A Different Ss Between Legitimate and Rogue Bssmentioning

confidence: 99%

“…In fact, they are not qualified to perform that task at all. Another example is the eliminating rogue BS based on distance bounding and geographical information [15]. Location Area Code (LAC) of a BS is utilized to inquire its latitude and longitude and its physical location can be estimated.…”

Section: Introductionmentioning

confidence: 99%

Rogue Base Stations Detection for Advanced Metering Infrastructure Based on Signal Strength Clustering

Bin¹,

Cai²,

Xiao³

et al. 2020

IEEE Access

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The smart meters and meter collectors in Advanced Metering Infrastructure (AMI), which are installed in every home, rely on wireless Virtual Private Network (VPN) for communicating with Head End System (HES). Therefore, they are prone to suffer from malicious cyber-attack. Usually, based on General Packet Radio Service (GPRS) communicated method is the most popular for meter collectors and consequently they are vulnerable to rogue Base Stations (BS) and get compromised by malicious adversaries further. Thus a Density-based spatial clustering of applications with noise (DBSCAN) method is employed to filter rogue BSs out and prevent meter collectors from attaching to them, because there is a notable difference between Signal Strength (SS) profile of legitimate BSs and rogue BSs, Numerical simulation indicates that the proposed approach is capable of detecting both stationary and moving rogue BSs online within fixed time window effectively. Moreover, the method can be implemented in existing meter collectors with limited computation resource. In conclusion, the proposed approach can enhance the level of cyber security of meter collectors.

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“…ereafter, the femtocells with an unreasonable distance can be detected as rogue ones [21]. However, it is rather difficult to identify a rogue femtocell once it duplicates the LAC of neighboring lawful femtocells with rational distance.…”

Section: Related Work Onmentioning

confidence: 99%

Eliminating Rogue Femtocells for IoT Open Meter System Based on Expert System

Xiao

Bin

Cai

et al. 2019

Journal of Engineering

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The Internet of things (IoT), including power meters, water meters, natural gas meters, and meter collectors in an open metering system (OMS), which is dispersed around the user side, relies on wireless virtual private networks (VPNs) to communicate with head end, and thus it is exposed to malicious cyber attacks. The General Packet Radio Service (GPRS), which is vulnerable to rogue femtocells, is widely used for communication among meter collectors and the head end. Because telecommunication fraud related to rogue femtocells is a serious offence, rogue femtocells will be turned on for some time and immediately turned off and moved from here to there to escape from being caught. The signal strength (SS) of rogue femtocells is characterized by abrupt changes. Because meter collectors and lawful femtocells are deployed at the fixed location, there is a notable difference between signal strength profile of lawful and rogue femtocells. Prior knowledge of variation of signal strength is utilized to formulate rules to detect rogue femtocells. An expert system is developed to detect rogue femtocells and prevent meter collectors from attaching to them. Numerical simulation indicates that the proposed approach can detect both stationary and moving rogue femtocells online. Since computation load of the proposed approach is not high, it can be implemented in existing IoT meter collectors with limited computation resource and the proposed approach can harden cyber security of OMS.

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Eliminating rouge femtocells based on distance bounding protocol and geographic information

Cited by 19 publications

References 10 publications

Client-side rogue access-point detection using a simple walking strategy and round-trip time analysis

Client-side rogue access-point detection using a simple walking strategy and round-trip time analysis

Rogue Base Stations Detection for Advanced Metering Infrastructure Based on Signal Strength Clustering

Eliminating Rogue Femtocells for IoT Open Meter System Based on Expert System

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