The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
A key management-based two-level encryption method for AMI
Abstract
In the key management-based security scheme of Advanced Metering Infrastructure (AMI), it is assumed that the established third party and the links between smart meter and the third party are fully trusted. But in wired/wireless communication, man-in-the middle can interfere, and the monitors and controls in the system can expose its vulnerability. Because of this, we propose a security scheme based on two independent and partially trusted but simple servers, which includes two-level encryption without increasing packet overhead. One server (master) manages the data encryption between the meter to ES (energy supplier) and the other server manages randomized data transfer. We also propose a simple node-to-node authentication method based on electromagnetic signal strength.
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“A malicious node in a wireless mesh network can tamper with messages that are sensitive to flooding attacks, resulting in a saturation of the AMI network. The DoS attack will come from a malicious node or nodes in the mesh network, sending excessive unnecessary data packets throughout the network and issuing excessive requests for communication. This traffic congests the mesh network and forms the”
From Impact, Vulnerabilities, and Mitigation Strategies for Cyber-Secure Critical Infrastructure. (2023) · cites this paper as [32]
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Cites
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Locating the nodes: cooperative localization in wireless sensor networks
Patwari, N., Ash, J. N., Kyperountas, S., Hero, A. O., Moses, R. L., & Correal, N. S. (2005) · IEEE Signal Processing Magazine · doi:10.1109/msp.2005.1458287 · Cited by 3,035
Smart Grid Privacy via Anonymization of Smart Metering Data
Efthymiou, C., & Kalogridis, G. (2010) · IEEE International Conference on Smart Grid Communications (SmartGridComm) · doi:10.1109/smartgrid.2010.5622050 · Cited by 611
Cyber security issues for Advanced Metering Infrasttructure (AMI)
Cleveland, F. M. (2008) · doi:10.1109/pes.2008.4596535 · Cited by 292
Review and evaluation of security threats on the communication networks in the smart grid
Lu, Z., Lu, X., Wang, W., & Wang, C. X. (2010) · IEEE Military Communications Conference (MILCOM) · doi:10.1109/milcom.2010.5679551 · Cited by 188
Untraceable Electronic Mail, Return Address and Digital Pseudonyms
Chaum, D. (1981) · Cited by 163
An efficient security protocol for advanced metering infrastructure in smart grid
Ye, Y., Hu, R. Q., Das, S. K., Sharif, H., & Qian, Y. (2013) · IEEE Network · doi:10.1109/mnet.2013.6574667 · Cited by 101
Ye, Y., Qian, Y., & Sharif, H. (2011) · IEEE Wireless Communications and Networking Conference · doi:10.1109/wcnc.2011.5779257 · Cited by 87
Query privacy in wireless sensor networks
Cărbunar, B., Yu, Y., Shi, L., Pearce, M., & Vasudevan, V. (2007) · IEEE International Conference on Sensing, Communication, and Networking (SECON) · doi:10.1109/sahcn.2007.4292832 · Cited by 39
Niu, Y., Xiaobin, T., Chen, S., Haifeng, W., Kai, Y., & Bu, Z. (2013) · IEEE EUROCON - International Conference on Computer as a Tool (EUROCON) · doi:10.1109/eurocon.2013.6625161 · Cited by 19
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A Survey on Low Latency Towards 5G: RAN, Core Network and Caching Solutions
Parvez, I., Rahmati, A., Güvenç, İ., Sarwat, A. I., & Dai, H. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2841349 · Cited by 883
Self-citationImpact, Vulnerabilities, and Mitigation Strategies for Cyber-Secure Critical Infrastructure.
Riggs, H., Tufail, S., Parvez, I., Tariq, M., Khan, M. A., Amir, A., Vuda, K. V., & Sarwat, A. I. (2023) · Sensors · doi:10.3390/s23084060 · Cited by 124
“This traffic congests the mesh network and forms the basis of the flooding attack, which is identified as a DoS and impacts the network by increasing the latency of the communications [32,33].”
BackgroundSelf-citationSundararajan, A., Khan, T., Moghadasi, A. H., & Sarwat, A. I. (2018) · Journal of Modern Power Systems and Clean Energy · doi:10.1007/s40565-018-0473-6 · Cited by 101
Online power quality disturbance detection by support vector machine in smart meter
Parvez, I., Aghili, M., Sarwat, A. I., Rahman, S., & Alam, F. (2018) · Journal of Modern Power Systems and Clean Energy · doi:10.1007/s40565-018-0488-z · Cited by 82
Self-citationShokry, M., Awad, A. I., Abd-Ellah, M. K., & Khalaf, A. A. M. (2022) · Future Generation Computer Systems · doi:10.1016/j.future.2022.06.013 · Cited by 82
Metadata
- Authors
- Parvez, I., Islam, A., & Kaleem, F.
- Affiliations
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Venue
- 2014 IEEE PES General Meeting | Conference & Exposition
- Publisher
- IEEE
- Published
- 2014-07
- Pages
- 1-5
- ISSN
- 1932-5517 (ISSN-L)
- OpenAlex
- W2078409097
- Cited by
- 24
- References
- 11
- Citations by year
- 2025: 1 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 3 · 2018: 7 · 2017: 3 · 2016: 4
- FWCI
- 3.23
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- IEEE Power Engineering Society General Meeting (publishedVersion)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Smart Grid Security and Resilience
- Physical Sciences › Computer Science › Computer Networks and Communications › Security in Wireless Sensor Networks
- Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
- Keywords
- advanced metering infrastructure, smart meter security, key management, man-in-the-middle attacks
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