Protected Bidding Against Compromised Information Injection in IoT-Based Smart Grid

  • Md Zakirul Alam Bhuiyan
  • Mdaliuz Zaman
  • Guojun WangEmail author
  • Tian Wang
  • Md. Arafat Rahman
  • Hai Tao
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 256)


The smart grid is regarded as one of the important application field of the Internet of Things (IoT) composed of embedded sensors, which sense and control the behavior of the energy world. IoT is attractive for features of grid catastrophe prevention and decrease of grid transmission line and reliable load fluctuation control. Automated Demand Response (ADR) in smart grids maintain demand-supply stability and in regulating customer side electric energy charges. An important goal of IoT-based demand-response using IoT is to enable a type of DR approach called automatic demand bidding (ADR-DB). However, compromised information board can be injected into during the DR process that influences the data privacy and security in the ADR-DB bidding process, while protecting privacy oriented consumer data is in the bidding process is must. In this work, we present a bidding approach that is secure and private for incentive-based ADR system. We use cryptography method instead of using any trusted third-party for the security and privacy. We show that proposed ADR bidding are computationally practical through simulations performed in three simulation environments.


Internet of Things (IoT) Smart grid Demand response Security attack Privacy Compromised information injection 


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  1. 1.Department of Computer and Information ScienceFordham UniversityNew York CityUSA
  2. 2.School of Computer Science and Educational SoftwareGuangzhou UniversityGuangzhouChina
  3. 3.Department of Computer Science and TechnologyHuaqiao UniversityXiamenChina
  4. 4.Faculty of Computer Systems and Software EngineeringUniversiti Malaysia PahangPekanMalaysia
  5. 5.Department of Computer ScienceBaoji University of Arts and SciencesBaojiChina

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