Robust anonymous authentication protocol for health-care applications using wireless medical sensor networks

He, Debiao; Kumar, Neeraj; Chen, Jianhua; Lee, Cheng‐Chi; Chilamkurti, Naveen; Yeo, Seng-Soo

doi:10.1007/s00530-013-0346-9

Cited by 299 publications

(251 citation statements)

References 21 publications

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“…The first method has the advantage of avoiding using asymmetric cryptographic algorithm, while the disadvantage is the dependency on the accessibility to the network [5]. The user identification will be invalid if the updated secret information of the user and the gateway is non-synchronized.…”

Section: IImentioning

confidence: 99%

“…The first one is the weakness or none of user anonymity [3,[5][6][7][8][9][10][11][12][13][14], which would cause being tracked easily. The second one is information leakage of the lost smart card [3,[6][7][8][9][10][11][12][13][14], which causes the attacker can do guesswork in a smaller space after extracting the information in the smart card.…”

Section: Advances In Computer Science Research Volume 44mentioning

confidence: 99%

“…From the top, the HWSN is divided into three layers, the gateway, the cluster head and the sensor nodes. Some protocols have been suggested on the security of HWSN [3,[5][6][7][8][9][10][11][12][13][14], in which several problems exist in the user authentication. After investigating the main technology of authentication, an enhanced secure anonymity user authentication protocol will be proposed by combing three factors of smart card, user password, and user biometrics in this paper.…”

Section: Introductionmentioning

confidence: 99%

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An Enhanced Secure Anonymity User Authentication Protocol for Hierarchical Wireless Sensor Networks

Pan¹,

Chen²

2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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Abstract-The security of hierarchical wireless sensor network (HWSN) attracts more attentions with the rapid deployment of HWSN recently. In this paper, the user authentication technology of HWSN is investigated and a more efficient and more secure user authentication protocol is proposed. Overcoming the main faults of the previous protocols, this enhanced protocol makes the improvements in achieving the strong anonymity, preventing the attackers of guessing the password of the lost smart card, and updating the secret information independently and quickly. The security of the protocol is verified by using the Rubin Logic method. The computation load is evaluated and is acceptable for the real systems.

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Section: IImentioning

confidence: 99%

Section: Advances In Computer Science Research Volume 44mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An Enhanced Secure Anonymity User Authentication Protocol for Hierarchical Wireless Sensor Networks

Pan¹,

Chen²

2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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“…Based on the special properties of medical/health data, when IoT is used in the medical/health field, some security risks emerge [3], [4]. In 2015, Wu et al proposed employment of the regenerating codes Copyright c 2016 The Institute of Electronics, Information and Communication Engineers and symmetric-key encryption with a Blom based key management [5].…”

Section: Related Workmentioning

confidence: 99%

Remote Data Integrity Checking and Sharing in Cloud-Based Health Internet of Things

Wang

Ota³

et al. 2016

IEICE Trans. Inf. & Syst.

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SUMMARYIn the health IoT (Internet of Things), the specialized sensor devices can be used to monitor remote health and notify the emergency information, e.g., blood pressure, heart rate, etc. These data can help the doctors to rescue the patients. In cloud-based health IoT, patients' medical/health data is managed by the cloud service providers. Secure storage and privacy preservation are indispensable for the outsourced medical/health data in cloud computing. In this paper, we study the integrity checking and sharing of outsourced private medical/health records for critical patients in public clouds (ICS). The patient can check his own medical/health data integrity and retrieve them. When a patient is in coma, some authorized entities and hospital can cooperate to share the patient's necessary medical/health data in order to rescue the patient. The paper studies the system model, security model and concrete scheme for ICS in public clouds. Based on the bilinear pairing technique, we design an efficient ICS protocol. Through security analysis and performance analysis, the proposed protocol is provably secure and efficient.

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“…However, we find that Shim's proposed improved protocol is unworkable because the signature verification does not hold true. Among various secure protocols in WSNs [3][4][5][6][7][8][9][11][12][13][14][15][16][17][18][19][20][21][22][23][24], most of the published reprogramming protocols [3, 6, 12-14, 16, 18, 20-23] are based on the centralized approach, which assumes the existence of a base station, and only the base station has the authority to reprogram sensor nodes. The centralized approach is not reliable in reality because of inefficiency, weak scalability, and vulnerability to potential attacks along the communication path [24].…”

Section: Introductionmentioning

confidence: 99%

Robust Distributed Reprogramming Protocol of Wireless Sensor Networks for Healthcare Systems

Tsai

2015

International Journal of Distributed Sensor Networks

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With the development of the wireless communication technologies, the wireless sensor networks (WSNs for short) are considered as one of the key research areas in healthcare systems. However, there is sometimes a need for removing bugs or adding new functionalities after WSNs are deployed. Wireless reprogramming is a process for propagating a new code image or relevant commands to sensor nodes in WSNs. In this paper, we propose a robust distributed reprogramming protocol of WSNs for healthcare systems, in which the security requirements are proved to be secure based on the elliptic curve discrete logarithm problem, such as existential unforgeability of signature for code image, authenticity of code image, freshness, and node compromised tolerance.

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Robust anonymous authentication protocol for health-care applications using wireless medical sensor networks

Cited by 299 publications

References 21 publications

An Enhanced Secure Anonymity User Authentication Protocol for Hierarchical Wireless Sensor Networks

An Enhanced Secure Anonymity User Authentication Protocol for Hierarchical Wireless Sensor Networks

Remote Data Integrity Checking and Sharing in Cloud-Based Health Internet of Things

Robust Distributed Reprogramming Protocol of Wireless Sensor Networks for Healthcare Systems

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