Earticle

초록

영어

The privacy preserving data aggregation protocols in wireless sensor networks have many applications in security critical areas, since it hides individual nodes’ data from adversaries. The existing hop by hop and shuffling based privacy preserving protocols does not provide an energy efficient, accurate and secure data aggregation result in base station, due to the energy consuming decryption at the aggregator node, reveals large amount of privacy protected information to adversaries, thereby it looses end to end confidentiality of data and allows the adversary to generate inaccurate results. The proposed privacy preserving protocol named EPSDA overcomes the problems in the existing scheme by performing aggregation on encrypted data, based on privacy homomorphic property of the encryption algorithm however there is a chance of replying the old information to the network. The EPSDA protocol prevents the replay attack by achieving data freshness during aggregation, this increases the accuracy of the aggregated result by performing the aggregation on encrypted data and reduced number of transmissions. It also guarantees the integrity of the aggregated result at base station and the authentication of the data during non delayed aggregation. Our main aim is to provide an energy efficient and secure data aggregation scheme, which guarantees the privacy, authenticity and freshness of individual sensed data as well as the confidentiality, accuracy and integrity of aggregated data.

목차

Abstract
 1. Introduction
 2. Related Works
 3. System Model and Design Objectives
  3.1. Network Model
  3.2. Attack Model
  3.3. Assumptions and Design Objectives
 4. Key Distribution in EPSDA
 5. Energy Efficient Privacy Preserving Secure Data Aggregation
  5.1. Aggregation Tree Construction
  5.2. Slicing
  5.3. Mixing
  5.4. Aggregation
  5.5. Verification
 6. Simulation Study and Performance Analysis
  6.1. Simulation Settings
  6.2. Performance Analysis
 7. Conclusion
 References

키워드

Wireless Sensor Networks Data Privacy Data confidentiality Data authentication End to end encrypted data aggregation Privacy homomorphism Accuracy Data integrity Data aggregation Hop by hop encrypted data aggregation Data freshness

저자

• Joyce Jose [ Post Graduate Scholar, Dept. Information Technology, Karunya University, Coimbatore, India ]
• M Princy [ Lecturer, Dept. Information Technology, Karunya University, Coimbatore, India ]
• Josna Jose [ Post Graduate Scholar, Dept. Information Technology, Karunya University, Coimbatore, India ]

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