Hacking Encrypted Frequency-Varying Wireless Power: Cyber-Security of Dynamic Charging

Wang, Hui; Tashakor, Nima; Jiang, Wei; Liu, Wei; Jiang, C. Q.; Goetz, Stefan M.

doi:10.1109/tec.2024.3355743

Cited by 3 publications

(1 citation statement)

References 30 publications

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“…Attackers can exploit power leaks that enable the charging of unauthorized devices, thereby affecting the charging of other devices and leading to critical operational problems. These security vulnerabilities can undermine the reliability of wireless charging technologies and threaten user security [ 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

LazyFrog: Advancing Security and Efficiency in Commercial Wireless Charging with Adaptive Frequency Hopping

Ahn,

Jung,

Park

2024

Sensors

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With the proliferation of electronic devices and electricity-based mobility solutions, the significance of wireless power transfer technology has increased substantially. However, ensuring secure and reliable power transmission to authorized users remains a significant challenge. Addressing this complex issue requires an integrated approach that balances efficiency, stability, and security considerations. While current efforts primarily focus on improving charging efficiency and user convenience, integrating robust security measures into wireless charging infrastructure is challenging due to its inherently open nature and susceptibility to external interference. Technical advancements are required to strengthen the security of the wireless charging infrastructure; however, these should be balanced with power loss management. This study tackles two core issues: the increasing hardware requirements for billing system authentication protocols and the interception of wireless charging signals by unauthorized users, leading to power theft and subsequent losses. To address these challenges, we propose a mechanism termed “LazyFrog”. This mechanism dynamically adjusts the frequency hopping schedule, activating frequency changes only in response to detected threats during remote charging or upon identifying unauthorized access attempts. The proposed mechanism compares the expected power reception at the device with the actual power supplied by the charging station, enabling the detection of abnormal power losses. By minimizing unnecessary frequency changes and optimizing energy consumption, LazyFrog reduces hardware requirements. Moreover, we have implemented a relative distance estimation mechanism to facilitate efficient power transfer as wireless devices move within the charging environment. With these features, LazyFrog demonstrates a secure, flexible, and energy-efficient wireless charging system ready for practical application.

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Section: Introductionmentioning

confidence: 99%