Secure Healthcare Data Aggregation Scheme for Internet of Things

Internet of things (IoT) involves massive number of smart devices that can communicate across different networks to exchange data. IoT enabled smart healthcare data is aggregated for transmitting to FoG server. Healthcare data is sensitive in nature, so there is a need to provide protection against various security attacks. This paper presents a secure healthcare based data aggregation (SHDA) scheme to transmit sensitive data from sensor nodes to collector nodes that further transmit to the FoG node. It includes a proposed model for data collection from sensing devices and aggregate at collector nodes. Next, we present the message receiving algorithm at collector node and message extraction algorithm at FoG node. SHDA is simulated using NS2.35 in Fedora Core 16 where TCL is used for node deployment and C language is used for message handling among devices. AWK script are used to get the results of simulations from trace files. Results prove the dominance of our scheme as compared to counterparts in terms of communication cost, computation cost and energy consumption.

[1]  Hannu Tenhunen,et al.  International Conference on Ambient Systems , Networks and Technologies ( ANT 2015 ) SEA : A Secure and E ffi cient Authentication and Authorization Architecture for IoT-Based Healthcare Using Smart Gateways , 2015 .

[2]  Geyong Min,et al.  Advanced internet of things for personalised healthcare systems: A survey , 2017, Pervasive Mob. Comput..

[3]  Ning Ye,et al.  Private and Secured Medical Data Transmission and Analysis for Wireless Sensing Healthcare System , 2017, IEEE Transactions on Industrial Informatics.

[4]  Yue Zhang,et al.  APPA: An anonymous and privacy preserving data aggregation scheme for fog-enhanced IoT , 2019, J. Netw. Comput. Appl..

[5]  Yuehong Yin,et al.  The internet of things in healthcare: An overview , 2016, J. Ind. Inf. Integr..

[6]  Zheng Yan,et al.  A Survey on Network Security-Related Data Collection Technologies , 2018, IEEE Access.

[7]  Djamel Tandjaoui,et al.  A Lightweight Authentication Scheme for E-Health Applications in the Context of Internet of Things , 2015, 2015 9th International Conference on Next Generation Mobile Applications, Services and Technologies.

[8]  Tao Zhu,et al.  An architecture for aggregating information from distributed data nodes for industrial internet of things , 2017, Comput. Electr. Eng..

[9]  Alessandra Pieroni,et al.  E-health-IoT Universe: A Review , 2017 .

[10]  Yuan-Ting Zhang,et al.  Heartbeats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks , 2018, IEEE Transactions on Biomedical Engineering.

[11]  Josep Domingo-Ferrer,et al.  Anonymous and secure aggregation scheme in fog-based public cloud computing , 2018, Future Gener. Comput. Syst..

[12]  Samaher Al-Janabi,et al.  Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications , 2017 .

[13]  Muhammad Sher,et al.  Fog-assisted secure healthcare data aggregation scheme in IoT-enabled WSN , 2020, Peer-to-Peer Netw. Appl..

[14]  Victor I. Chang,et al.  Towards fog-driven IoT eHealth: Promises and challenges of IoT in medicine and healthcare , 2018, Future Gener. Comput. Syst..

[15]  Nilanjan Dey,et al.  Medical cyber-physical systems: A survey , 2018, Journal of Medical Systems.

[16]  Yixian Yang,et al.  Secure Data Access Control With Ciphertext Update and Computation Outsourcing in Fog Computing for Internet of Things , 2017, IEEE Access.

[17]  Huansheng Ning,et al.  Secure Authentication and Prescription Safety Protocol for Telecare Health Services Using Ubiquitous IoT , 2017 .

[18]  Ali A. Ghorbani,et al.  A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT , 2017, IEEE Access.

[19]  Wanqing Wu,et al.  Adaptive computing-based biometric security for intelligent medical applications , 2018, Neural Computing and Applications.

[20]  Sherali Zeadally,et al.  Fog Computing Architecture, Evaluation, and Future Research Directions , 2018, IEEE Communications Magazine.

[21]  Robert H. Deng,et al.  Lightweight Break-Glass Access Control System for Healthcare Internet-of-Things , 2018, IEEE Transactions on Industrial Informatics.

[22]  Joel J. P. C. Rodrigues,et al.  Enabling Technologies for the Internet of Health Things , 2018, IEEE Access.

[23]  Longfei Wu,et al.  A Survey on Security and Privacy Issues in Internet-of-Things , 2017, IEEE Internet of Things Journal.

[24]  Tie Qiu,et al.  Survey on fog computing: architecture, key technologies, applications and open issues , 2017, J. Netw. Comput. Appl..

[25]  Kyung-Sup Kwak,et al.  The Internet of Things for Health Care: A Comprehensive Survey , 2015, IEEE Access.

[26]  Hong Liu,et al.  Cooperative Privacy Preservation for Wearable Devices in Hybrid Computing-Based Smart Health , 2019, IEEE Internet of Things Journal.

[27]  Reza Malekian,et al.  CBM Reservoir Rock Physics Model and Its Response Characteristic Study , 2017, IEEE Access.

[28]  Rajkumar Buyya,et al.  Cloud-Fog Interoperability in IoT-enabled Healthcare Solutions , 2018, ICDCN.