Security analysis of proactive participation of smart buildings in smart grid

Wei, Tianshu; Zheng, Bin; Zhu, Qi; Hu, Shiyan

doi:10.1109/iccad.2015.7372606

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…For instance, in [81], a proactive demand participation scheme calculates the building scheduling flexibility based on guideline pricing, and then captures such flexibility as demand-bid curves for grid-level optimization. As observed in [81], [82], such scheme faces potential pricing attack on the guideline pricing and also possible manipulation on the demand-bid curves. Cross-layer detection: Finally, it is worth noting that at least part of detection code for pricing attack or energy theft needs to be implemented on the smart meter, while the smart meter itself is hacked.…”

Section: A Smart Energy Systemsmentioning

confidence: 97%

Design Automation of Cyber-Physical Systems: Challenges, Advances, and Opportunities

Seshia

et al. 2017

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

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116

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A cyber-physical system (CPS) is an integration of computation with physical processes whose behavior is defined by both computational and physical parts of the system. In this paper, we present a view of the challenges and opportunities for design automation of CPS. We identify a combination of characteristics that define the challenges unique to the design automation of CPS. We then present selected promising advances in depth, focusing on four foundational directions: combining model-based and data-driven design methods; design for humanin-the-loop systems; component-based design with contracts, and design for security and privacy. These directions are illustrated with examples from two application domains: smart energy systems and next-generation automotive systems.

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Section: A Smart Energy Systemsmentioning

confidence: 97%

Design Automation of Cyber-Physical Systems: Challenges, Advances, and Opportunities

Seshia

et al. 2017

IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Self Cite

116

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“…Some other papers have considered the interplay between SB and other smart infrastructures like smart grids. For instance, [37] discussed a guideline price manipulation attack, where malicious customers alter the guideline price (which is used to predict the future electricity price to guide electricity demand of customers) in the electricity market and delude scheduling decision of other customers. By this type of attack, a malicious customer can reduce his electricity cost while increasing electricity bill of other normal customers.…”

Section: Othersmentioning

confidence: 99%

The Security of Smart Buildings: a Systematic Literature Review

Ciholas,

Lennie,

Sadigova

et al. 2019

Preprint

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Smart Buildings are networks of connected devices and software in charge of automatically managing and controlling several building functions such as HVAC, fire alarms, lighting, shading and more. These systems evolved from mostly electronic and mechanical elements to complex systems relying on IT and wireless technologies and networks. This exposes smart buildings to new risks and threats that need to be enumerated and addressed. Research efforts have been done in several areas related to security in smart buildings but a clear overview of the research field is missing. In this paper, we present the results of a systematic literature review that provides a thorough understanding of the state of the art in research on the security of smart buildings. We found that the field of smart buildings security is growing significantly in complexity due to the many protocols introduced recently and that the research community is already studying. We also found an important lack of empirical evaluations, though evaluations on testbeds and real systems seems to be growing. Finally, we found an almost complete lack of consideration of non-technical aspects, such as social, organisational, and human factors, which are crucial in this type of systems, where ownership and liability is not always clear.

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