Publication | Closed Access
Anonymous Authentication for Wireless Body Area Networks With Provable Security
431
Citations
34
References
2016
Year
Body Area NetworkEngineeringInformation SecurityWearable TechnologyWireless ComputingHardware SecurityHealthcare Information SecurityAnonymous AuthenticationAa SchemeWireless SecurityInternet Of ThingsAuthentication ProtocolLightweight Authentication MechanismAuthenticationData PrivacyMobile ComputingComputer SciencePrivacyData SecurityCryptographyRecent Aa SchemeNew Aa Scheme
Wireless body area networks (WBANs) enable real‑time biomedical data collection and remote diagnostics, but their growing role in the Internet of Things raises confidentiality and privacy challenges, and existing anonymous authentication schemes have been found insecure. The authors aim to evaluate the latest anonymous authentication scheme for WBANs and develop a more secure alternative. They analyze the current scheme, expose an impersonation vulnerability, then design a new anonymous authentication protocol and formally prove its security. The proposed protocol eliminates the identified weaknesses while maintaining client‑side computational costs comparable to prior schemes.
Advances in wireless communications, embedded systems, and integrated circuit technologies have enabled the wireless body area network (WBAN) to become a promising networking paradigm. Over the last decade, as an important part of the Internet of Things, we have witnessed WBANs playing an increasing role in modern medical systems because of its capabilities to collect real-time biomedical data through intelligent medical sensors in or around the patients' body and send the collected data to remote medical personnel for clinical diagnostics. WBANs not only bring us conveniences but also bring along the challenge of keeping data's confidentiality and preserving patients' privacy. In the past few years, several anonymous authentication (AA) schemes for WBANs were proposed to enhance security by protecting patients' identities and by encrypting medical data. However, many of these schemes are not secure enough. First, we review the most recent AA scheme for WBANs and point out that it is not secure for medical applications by proposing an impersonation attack. After that, we propose a new AA scheme for WBANs and prove that it is provably secure. Our detailed analysis results demonstrate that our proposed AA scheme not only overcomes the security weaknesses in previous schemes but also has the same computation costs at a client side.
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