Enabling data protection through PKI encryption in IoT m-Health devices

Ambient Assisted Living (AAL) aims at providing unobtrusive support to frail and elderly people for their daily life based on their context and situation. To this end, systems and services are required which are user-centric and adaptable towards the needs and capabilities of the people in need of care. The continuous integration of leading-edge technologies, such as cloud and wireless communication technologies, in the context of the Internet of the Things (IoT), can meet this requirement by enabling a new form of communication between frail and elderly people, their environment and relevant groups of care givers. However, for IoT-based systems to reach their full potential, sound answers need to be provided to the important security questions arisen, particularly those regarding authentication of entities (people and environmental objects) and data privacy. This paper presents a system based on Gateways (GW) that aggregate health sensor data and resolve security issues through digital certificates and PKI data encryption.

[1]  D. Bhattacharya Secure Data Aggregation in Wireless Sensor Networks , 2014 .

[2]  Huiru Zheng,et al.  Visualization of data for ambient assisted living services , 2011, IEEE Communications Magazine.

[3]  F. Kargl,et al.  Security, Privacy and Legal Issues in Pervasive eHealth Monitoring Systems , 2008, 2008 7th International Conference on Mobile Business.

[4]  Dirk Westhoff,et al.  Public Key Based Cryptoschemes for Data Concealment in Wireless Sensor Networks , 2006, 2006 IEEE International Conference on Communications.

[5]  Dieter Hayn,et al.  The Internet of Things for Ambient Assisted Living , 2010, 2010 Seventh International Conference on Information Technology: New Generations.

[6]  Elisa Bertino,et al.  Trust Negotiation in Identity Management , 2007, IEEE Security & Privacy.

[7]  Ilias Maglogiannis,et al.  Bringing IoT and Cloud Computing towards Pervasive Healthcare , 2012, 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[8]  C. Castelluccia,et al.  Efficient aggregation of encrypted data in wireless sensor networks , 2005, The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services.

[9]  Ilias Maglogiannis,et al.  Managing Wearable Sensor Data through Cloud Computing , 2011, 2011 IEEE Third International Conference on Cloud Computing Technology and Science.

[10]  Dirk Westhoff,et al.  CDA: concealed data aggregation for reverse multicast traffic in wireless sensor networks , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[11]  Cristina Alcaraz,et al.  Key management systems for sensor networks in the context of the Internet of Things , 2011, Comput. Electr. Eng..

[12]  Yacine Challal,et al.  SEDAN: Secure and Efficient protocol for Data Aggregation in wireless sensor Networks , 2007 .

[13]  Peter Langendörfer,et al.  How public key cryptography influences wireless sensor node lifetime , 2006, SASN '06.

[14]  Yang Xiao,et al.  Secure data aggregation in wireless sensor networks: A comprehensive overview , 2009, Comput. Networks.

[15]  Imrich Chlamtac,et al.  Internet of things: Vision, applications and research challenges , 2012, Ad Hoc Networks.

[16]  Dawn Xiaodong Song,et al.  SIA: secure information aggregation in sensor networks , 2003, SenSys '03.

[17]  Vikram Srinivasan,et al.  Information Coverage and Network Lifetime in Energy Constrained Wireless Sensor Networks , 2007 .

[18]  Sabrina Sicari,et al.  SeDAP: Secure Data Aggregation Protocol in Privacy Aware Wireless Sensor Networks , 2010, S-CUBE.

[19]  Gennaro Boggia,et al.  DyDAP: A dynamic data aggregation scheme for privacy aware wireless sensor networks , 2012, J. Syst. Softw..

[20]  Roberto Riggio,et al.  Secure aggregation in hybrid mesh/sensor networks , 2009, 2009 International Conference on Ultra Modern Telecommunications & Workshops.

[21]  Theodore S. Rappaport,et al.  SecureDAV: a secure data aggregation and verification protocol for sensor networks , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..