An Analysis of RFID Authentication Schemes for Internet of Things in Healthcare Environment Using Elliptic Curve Cryptography
By De-biao He, Sherali Zeadally. IEEE Internet of Things Journal, 2015
348 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications, Media Technology
View Paper: https://www.semanticscholar.org/paper/96578f7284c3d1898b9d822f8c7b82509ca39616
How researchers see this paper
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In Artificial Intelligence
- Sravani Challa
- M. Sabarimalai Manikandan
- Sergey D. Andreev
- Neeraj Kumar
- Ashok Kumar Das
- Kee Young Yoo
- Yevgeni Koucheryavy
- Tommi J. Mikkonen
In Computer Networks and Communications
- Mohammad Wazid
- Neeraj Kumar
- Sravani Challa
- M. Sabarimalai Manikandan
- Ashok Kumar Das
- Kee Young Yoo
- Sudip Misra
- Eunjun Yoon
In Media Technology
Citations in the corpus
- Real-Time Signal Quality-Aware ECG Telemetry System for IoT-Based Health Care Monitoring (2017, methodology): “gathering and sharing paradigms for personalized healthcare systems [1], [2], [6], ambient assisted living [7], user’s posture detection [8], and activity recognition [9], [13]–[15].”
- Multi-Factor Authentication: A Survey (2018, background): “From the telecommunication perspective, Radio-frequency Identification (RFID) and Near-Field Communication (NFC) techniques have already observed widespread adoption and acceptance within the community [135].”
- Assessment of the Suitability of Fog Computing in the Context of Internet of Things (2018, background): “Recent research has spawned the concept of IoT [9], [10] that connects billions of things across the globe to the Internet and enables machine to machine (M2M) communication [11] among these devices.”
- Secure Signature-Based Authenticated Key Establishment Scheme for Future IoT Applications (2017, background): “ECC-based RFID authentication schemes are susceptible to tracking attacks on the RFID tag [15].”