A Privacy-Preserving Multi-Authority Attribute-Based Encryption Approach for Mobile Healthcare

With the development and popularization of smart phones and wireless network of body sensor, mobile healthcare has aroused widespread concern. In the mobile healthcare, smart phone is a bridge between wireless body sensor and medical center, and bears the function of medical information transmission. Confidentiality and efficiency in the process of data transmission need to be considered. However, smartphone users are not always available, so we must have to consider medical service interruption in mobile healthcare. In this paper, we propose a privacy preserving protocol for personal health information based on multi-authority, which can effectively and safely transmits health information. When smart phones are not available, the protocol can find qualified helper to transmit information through temporary authorization, so that users can get uninterrupted medical service to guarantee the life safety.

[1]  K.K. Venkatasubramanian,et al.  Plethysmogram-based secure inter-sensor communication in Body Area Networks , 2008, MILCOM 2008 - 2008 IEEE Military Communications Conference.

[2]  Xiaohui Liang,et al.  PEC: A privacy-preserving emergency call scheme for mobile healthcare social networks , 2011, Journal of Communications and Networks.

[3]  Carmen C. Y. Poon,et al.  Analysis of Using Interpulse Intervals to Generate 128-Bit Biometric Random Binary Sequences for Securing Wireless Body Sensor Networks , 2012, IEEE Transactions on Information Technology in Biomedicine.

[4]  Sheikh Iqbal Ahamed,et al.  A privacy preserving framework for RFID based healthcare systems , 2017, Future Gener. Comput. Syst..

[5]  Davide Brunelli,et al.  Wireless Sensor Networks , 2012, Lecture Notes in Computer Science.

[6]  David N Breslauer,et al.  Mobile Phone Based Clinical Microscopy for Global Health Applications , 2009, PloS one.

[7]  Xiaohui Liang,et al.  Secure handshake with symptoms-matching: the essential to the success of mhealthcare social network , 2010, BODYNETS.

[8]  Ian F. Akyildiz,et al.  Wireless sensor networks , 2007 .

[9]  Xiaohui Liang,et al.  EPF: An Event-Aided Packet Forwarding Protocol for Privacy-Preserving Mobile Healthcare Social Networks , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[10]  Carmen C. Y. Poon,et al.  Using the Timing Information of Heartbeats as an Entity Identifier to Secure Body Sensor Network , 2008, IEEE Transactions on Information Technology in Biomedicine.

[11]  K.K. Venkatasubramanian,et al.  EKG-based key agreement in Body Sensor Networks , 2008, IEEE INFOCOM Workshops 2008.

[12]  Athanasios V. Vasilakos,et al.  Local Area Prediction-Based Mobile Target Tracking in Wireless Sensor Networks , 2015, IEEE Transactions on Computers.

[13]  Chung-Chih Lin,et al.  A Healthcare Integration System for Disease Assessment and Safety Monitoring of Dementia Patients , 2008, IEEE Transactions on Information Technology in Biomedicine.

[14]  Ajit Appari,et al.  HIPAA compliance in home health: a neo-institutional theoretic perspective , 2009, SPIMACS '09.

[15]  Sandeep K. S. Gupta,et al.  Biosec: a biometric based approach for securing communication in wireless networks of biosensors implanted in the human body , 2003, 2003 International Conference on Parallel Processing Workshops, 2003. Proceedings..

[16]  Xiaodong Lin,et al.  SPOC: A Secure and Privacy-Preserving Opportunistic Computing Framework for Mobile-Healthcare Emergency , 2013, IEEE Transactions on Parallel and Distributed Systems.