Secure and energy-efficient data aggregation in Wireless Sensor Networks

Data aggregation in intermediate nodes (called aggregator nodes) is an effective approach for optimizing consumption of scarce resources like bandwidth and energy in Wireless Sensor Networks (WSNs). However, in-network processing poses a problem for the privacy of the sensor data since individual data of sensor nodes need to be known to the aggregator node before the aggregation process can be carried out. In applications of WSNs, privacy-preserving data aggregation has become an important requirement due to sensitive nature of the sensor data. Researchers have proposed a number of protocols and schemes for this purpose. He et al. (INFOCOM 2007) have proposed a protocol-called CPDA-for carrying out additive data aggregation in a privacy-preserving manner for application in WSNs. The scheme has been quite popular and well-known.

[1]  Jaydip Sen,et al.  A distributed protocol for detection of packet dropping attack in mobile ad hoc networks , 2007, 2007 IEEE International Conference on Telecommunications and Malaysia International Conference on Communications.

[2]  David Chaum,et al.  The dining cryptographers problem: Unconditional sender and recipient untraceability , 1988, Journal of Cryptology.

[3]  Jaydip Sen.  A Trust-Based Detection Algorithm of Selfish Packet Dropping Nodes in a Peer-to-Peer Wireless Mesh Network , 2010, CNSA.

[4]  Jaydip Sen.  A Distributed Trust and Reputation Framework for Mobile Ad Hoc Networks , 2010, CNSA.

[5]  Gene Tsudik,et al.  QUEST Software and , 2022 .

[6]  Xue Liu,et al.  PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks , 2007, IEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications.

[7]  Hasan Çam,et al.  Energy-efficient secure pattern based data aggregation for wireless sensor networks , 2006, Comput. Commun..

[8]  Wei Hong,et al.  Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks , 2022 .

[9]  Dirk Westhoff,et al.  Concealed Data Aggregation for Reverse Multicast Traffic in Sensor Networks: Encryption, Key Distribution, and Routing Adaptation , 2006, IEEE Transactions on Mobile Computing.

[10]  Jaydip Sen,et al.  A Robust and Secure Aggregation Protocol for Wireless Sensor Networks , 2011, 2011 Sixth IEEE International Symposium on Electronic Design, Test and Application.

[11]  Lingxuan Hu,et al.  Secure aggregation for wireless networks , 2003, 2003 Symposium on Applications and the Internet Workshops, 2003. Proceedings..

[12]  Caroline Fontaine,et al.  A Survey of Homomorphic Encryption for Nonspecialists , 2007, EURASIP J. Inf. Secur..

[13]  Jaydip Sen,et al.  A Survey on Wireless Sensor Network Security , 2009, Int. J. Commun. Networks Inf. Secur..

[14]  Suat Ozdemir,et al.  Secure and reliable data aggregation for wireless sensor networks , 2007 .

[15]  Ian F. Akyildiz,et al.  Wireless sensor networks: a survey , 2002, Comput. Networks.

[16]  Yang Xiao,et al.  Secure data aggregation without persistent cryptographic operations in wireless sensor networks , 2007, Ad Hoc Networks.

[17]  Virgil D. Gligor,et al.  A key-management scheme for distributed sensor networks , 2002, CCS '02.

[18]  Dirk Westhoff,et al.  A Survey on the Encryption of Convergecast Traffic with In-Network Processing , 2010, IEEE Transactions on Dependable and Secure Computing.

[19]  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.

[20]  Jaydip Sen,et al.  Reputation- and Trust-Based Systems for Wireless Self-organizing Networks , 2011, ArXiv.

[21]  Frederik Armknecht,et al.  A lifetime-optimized end-to-end encryption scheme for sensor networks allowing in-network processing , 2008, Comput. Commun..

[22]  Dirk Westhoff,et al.  Secure comparison of encrypted data in wireless sensor networks , 2005, Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt'05).