GPRS Security for Smart Meters

Jaatun, Martin Gilje; Tøndel, Inger Anne; Køien, Geir M.

doi:10.1007/978-3-642-40511-2_14

Cited by 3 publications

(4 citation statements)

References 4 publications

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“…Thereafter, it receives an identity request and then sends its International Mobile Subscriber Identification Number (IMSI) and International Mobile Device Identity (IMEI) back to implement identity authentication and Home Location Register. After authentication and location updates are finished, the meter proceeds in attaching to the BS [21].…”

Section: B Threat From Rogue Bss In Wireless Networkmentioning

confidence: 99%

“…As a result, it is likely for an adversary to take control of meter collectors by setting up a rogue BS [22]. What's more, according to [21], attackers could establish a rogue BS with modest budgets. The malicious adversary could measure and collect carrier frequency of the targeted cell.…”

Section: B Threat From Rogue Bss In Wireless Networkmentioning

confidence: 99%

“…In this case, meter collectors would be forced to attach to it due to its better communication parameters and higher SS. In addition, malicious adversary could get IMSI and IMEI of meter collectors via the rogue BS to implement further attack [21]. Once encryption of a smart meter is cracked, intruders could take full control of it.…”

Section: B Threat From Rogue Bss In Wireless Networkmentioning

confidence: 99%

“… A point R is density reachable from P within V, if there is a series of objects p1, p2…,pn, where p1=Q and pn=P, such that, for 1≤i≤n, pi  D and pi+1 is directlydensity reachable from pi.  A point S is density-connected to P in a set of volumes Vj, if there is an object T Vj such that both Q and P are densely reachable from S. A density-based cluster is defined as a set of densityconnected points maximized with respect to the densityreachability concept [21]. The points that do not contained by a sufficiently populated cluster are classified as noise.…”

Section: Fig4 Demonstration Of Dbscan In State Spacementioning

confidence: 99%

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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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Section: B Threat From Rogue Bss In Wireless Networkmentioning

confidence: 99%

Section: B Threat From Rogue Bss In Wireless Networkmentioning

confidence: 99%

Section: B Threat From Rogue Bss In Wireless Networkmentioning

confidence: 99%

Section: Fig4 Demonstration Of Dbscan In State Spacementioning

confidence: 99%

See 2 more Smart Citations