As one of the most important cloud computing services, cloud storage provides storage resources for resource-constrained users, which reduces their local overhead and computing cost. As an extension of cloud computing, fog computing introduces a fog layer between the cloud and users to deploy computing, storage, and other types of equipment, allowing users to operate outsourced data conveniently. Although cloud storage brings many conveniences to users, assured data deletion is still one of the crucial security challenges. In addition, since cloud servers usually store data in a decentralized manner, it is difficult for users to centrally and securely operate data blocks. This paper proposes an efficient and secure cloud data deletion scheme (SDUS-AD) that supports dynamic data updates in multi-copy scenarios. In this scheme, a new dynamic structure is designed, which improves the traditional Merkle hash tree, thereby realizing the dynamic update of outsourced data efficiently and safely. A cloud-fog-user layer structure is used to meet the needs of resourceconstrained users (such as mobile users) to update data, and a secure and trusted fog cluster is constructed using the trusted cloud platform management model based on TPM alliance to ensure the confidentiality of data privacy. Security analysis shows that SDUS-AD meets real-world security requirements. Detailed performance analysis and simulation experiments show that SDUS-AD is efficient, safe, and feasible.

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As one of the most important cloud computing services, cloud storage provides storage resources for resource-constrained users, which reduces their local overhead and computing cost. As an extension of cloud computing, fog computing introduces a fog layer between the cloud and users to deploy computing, storage, and other types of equipment, allowing users to operate outsourced data conveniently. Although cloud storage brings many conveniences to users, assured data deletion is still one of the crucial security challenges. In addition, since cloud servers usually store data in a decentralized manner, it is difficult for users to centrally and securely operate data blocks. This paper proposes an efficient and secure cloud data deletion scheme (SDUS-AD) that supports dynamic data updates in multi-copy scenarios. In this scheme, a new dynamic structure is designed, which improves the traditional Merkle hash tree, thereby realizing the dynamic update of outsourced data efficiently and safely. A cloud-fog-user layer structure is used to meet the needs of resource-constrained users (such as mobile users) to update data, and a secure and trusted fog cluster is constructed using the trusted cloud platform management model based on TPM alliance to ensure the confidentiality of data privacy. Security analysis shows that SDUS-AD meets real-world security requirements. Detailed performance analysis and simulation experiments show that SDUS-AD is efficient, safe, and feasible.

The substation is an important part of the smart grid. The stable operation of electrical equipment in the substation is related to the stability of the grid. According to the statistical results, among the common substation equipment failures, thermal failures have a larger proportion. Thermal faults can be monitored through the surface temperature of the equipment, and predicting the changing trend of the equipment temperature in advance is of great significance for reducing equipment faults in substations. For this reason, this paper proposes a method for predicting the temperature of substation equipment based on BP neural network-simulated annealing algorithm, using equipment parameters, environmental information parameters, etc. to predict the temperature of electrical equipment in the substation, so as to realize early warning of thermal faults in substation equipment. Through comparative analysis, it is verified that the method proposed in this paper can accurately predict the temperature of substation equipment, which provides strong guarantee and support for the safety management of substation electrical equipment.

As one of the most important cloud computing services, cloud storage provides storage resources for resource-constrained users, which reduces their local overhead and computing cost. As an extension of cloud computing, fog computing introduces a fog layer between the cloud and users to deploy computing, storage, and other types of equipment, allowing users to operate outsourced data conveniently. Although cloud storage brings many conveniences to users, assured data deletion is still one of the crucial security challenges. In addition, since cloud servers usually store data in a decentralized manner, it is difficult for users to centrally and securely operate data blocks. This paper proposes an efficient and secure cloud data deletion scheme (SDUS-AD) that supports dynamic data updates in multi-copy scenarios. In this scheme, a new dynamic structure is designed, which improves the traditional Merkle hash tree, thereby realizing the dynamic update of outsourced data efficiently and safely. A cloud-fog-user layer structure is used to meet the needs of resource-constrained users (such as mobile users) to update data, and a secure and trusted fog cluster is constructed using the trusted cloud platform management model based on TPM alliance to ensure the confidentiality of data privacy. Security analysis shows that SDUS-AD meets real-world security requirements. Detailed performance analysis and simulation experiments show that SDUS-AD is efficient, safe, and feasible.