Resources

  1. Haowen Chan and Adrian Perrig: Security and Privacy in Sensor Networks, Carnegie Mellon University
  2. Guangjie Han, Jinfang Jiang, Lei Shu, Jianwei Niu, Han-Chieh Chao, Management and applications of trust in Wireless Sensor Networks: A survey, Journal of Computer and System Sciences, Volume 80, Issue 3, May 2014, Pages 602-617, ISSN 0022-0000, http://dx.doi.org/10.1016/j.jcss.2013.06.014. (http://www.sciencedirect.com/science/article/pii/S0022000013001232)
  3. Kuan Zhang, Xiaohui Liang, Mrinmoy Baura, Rongxing Lu, Xuemin (Sherman) Shen, PHDA: A priority based health data aggregation with privacy preservation for cloud assisted WBANs, Information Sciences, Volume 284, 10 November 2014, Pages 130-141, ISSN 0020-0255, http://dx.doi.org/10.1016/j.ins.2014.06.011. PDF(http://www.sciencedirect.com/science/article/pii/S0020025514006380)Abstract: Abstract

    Wireless Body Area Networks (WBANs), as a promising health-care system, can timely monitor human physiological parameters. Due to the limitation of communications, power, storage and computation in WBANs, a cloud assisted WBAN flourishes and provides more reliable, real-time, and intelligent health-care services for patients and mobile users. However, it is still critical to efficiently aggregate the different types of WBAN data to the cloud server. In addition, security and privacy concerns are also of paramount importance during the communications between WBAN and cloud. In this paper, we propose a priority based health data aggregation (PHDA) scheme with privacy preservation for cloud assisted WBANs to improve the aggregation efficiency among different types of health data. Specifically, we first explore social spots to help forward health data and enable users to select the optimal relay according to their social ties. According to different data priorities, the adjustable forwarding strategies can be selected to forward the user’s health data to the cloud servers with the reasonable communication overheads. The security analysis demonstrates that the PHDA can achieve identity and data privacy preservation, and resist the forgery attacks. Finally, the performance evaluation shows that the PHDA achieves the desirable delivery ratio with reasonable communication costs and lower delay for the data in different priorities.

    Keywords: Wireless body area network; Cloud; Priority; Aggregation; Privacy preservation

  4. Data aggregation techniques in sensor networks: A survey, 2006
  5. Secure Continuous Aggregation in Wireless Sensor Networks
  6. Data Aggregation in Wireless Sensor Networks
  7. Secure Hierarchical In-Network Aggregation in Sensor Networks
  8. Samuel Madden, Michael J. Franklin, Joseph Hellerstein, and Wei Hong: TAG: a Tiny Aggregation Service for Ad-Hoc Sensor Networks, IRB-TR-02-011, August, 2002
  9. SIA: Secure Information Aggregation in Sensor Networks
  10. Privacy-Preserving Stream Aggregation with Fault Tolerance
  11. Medians and Beyond: New Aggregation Techniques for Sensor Networks MIN, MAX, AVG, SUM
  12. Aggregation in Sensor Networks (PPT)
  13. Resilient Aggregation in Sensor Networks

Products

  1. informatica – Data Aggregation

 

 

Information Aggregation in Sensor Networks
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