2022
DOI: 10.3390/app122412688
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Energy Efficient Dynamic Symmetric Key Based Protocol for Secure Traffic Exchanges in Smart Homes

Abstract: Highly sensitive information about people’s social life and daily activities flows in smart home networks. As such, if attackers can manage to capture or even eavesdrop on this information, the privacy of the users can be compromised. The consequences can be far-reaching, such as knowing the status of home occupancy that can then facilitate burglary. To address these challenges, approaches such as data aggregation and signcryption have been utilized. Elliptic curve cryptography, bilinear pairing, asymmetric ke… Show more

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Cited by 7 publications
(4 citation statements)
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“…Similarly, the protocol in [31] does not provide user and device anonymity since their internet protocol (IP) addresses incorporated in messages are exchanged publicly. In addition, it has high computation overheads due to the utilization of public key cryptography for its digital signatures and certificates [32]. Moreover, it is prone to replay, physical device capture, MitM, user and device impersonation, and attacks.…”
Section: Related Workmentioning
confidence: 99%
“…Similarly, the protocol in [31] does not provide user and device anonymity since their internet protocol (IP) addresses incorporated in messages are exchanged publicly. In addition, it has high computation overheads due to the utilization of public key cryptography for its digital signatures and certificates [32]. Moreover, it is prone to replay, physical device capture, MitM, user and device impersonation, and attacks.…”
Section: Related Workmentioning
confidence: 99%
“…The electronics as fuel of the Internet of Things technology is surely leading us in a new way of conducting our lives and cities [2], also allowing the optimization of the production processes of companies and industries and the management of services and infrastructures, limiting the consumption of resources and pollution. Management of public lighting [3][4][5][6][7], air quality [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22] and noise pollution monitoring [23][24][25][26][27][28][29], smart home [30][31][32][33][34][35][36][37][38][39][40][41][42][43], smart roads, smart cars, urban mobility and transport [44][45][46][47][48]…”
Section: Introductionmentioning
confidence: 99%
“…Although the FCSG is promising, it still faces serious challenges in terms of security and privacy [12], such as learned personal patterns, energy theft and impersonation [19], etc. Specifically, adversaries can infer the lifestyles and behavioural habits of users by analysing their real-time electricity consumption data to carry out some improper activities [20]. Furthermore, adversaries can also tamper with and forge users' electricity consumption data, thus threatening the stability of the SG [13].…”
Section: Introductionmentioning
confidence: 99%