Noise Generation GAN Based Identity Privacy Protection for Smart City

Author(s):  
Jishen Yang ◽  
Yan Huang ◽  
Madhuri Siddula ◽  
Zhipeng Cai
Entropy ◽  
2021 ◽  
Vol 23 (12) ◽  
pp. 1657
Author(s):  
Ke Yuan ◽  
Yingjie Yan ◽  
Tong Xiao ◽  
Wenchao Zhang ◽  
Sufang Zhou ◽  
...  

In response to the rapid growth of credit-investigation data, data redundancy among credit-investigation agencies, privacy leakages of credit-investigation data subjects, and data security risks have been reported. This study proposes a privacy-protection scheme for a credit-investigation system based on blockchain technology, which realizes the secure sharing of credit-investigation data among multiple entities such as credit-investigation users, credit-investigation agencies, and cloud service providers. This scheme is based on blockchain technology to solve the problem of islanding of credit-investigation data and is based on zero-knowledge-proof technology, which works by submitting a proof to the smart contract to achieve anonymous identity authentication, ensuring that the identity privacy of credit-investigation users is not disclosed; this scheme is also based on searchable-symmetric-encryption technology to realize the retrieval of the ciphertext of the credit-investigation data. A security analysis showed that this scheme guarantees the confidentiality, the availability, the tamper-proofability, and the ciphertext searchability of credit-investigation data, as well as the fairness and anonymity of identity authentication in the credit-investigation data query. An efficiency analysis showed that, compared with similar identity-authentication schemes, the proof key of this scheme is smaller, and the verification time is shorter. Compared with similar ciphertext-retrieval schemes, the time for this scheme to generate indexes and trapdoors and return search results is significantly shorter.


2019 ◽  
Vol 81 ◽  
pp. 323-335 ◽  
Author(s):  
Yucong Duan ◽  
Zhihui Lu ◽  
Zhangbing Zhou ◽  
Xiaobing Sun ◽  
Jie Wu

Author(s):  
Subarna Shakya

Smart city is a quickly developing approach that is powered by Internet of Things (IoTs), providing a number of services such as collaborative diagnosis and intelligent transportation. In general, in a smart city, the terminals have certain limitations that crib their capability of processing cross application and diversified services. Due to insufficient availability of resources that can be used to develop a collaborative smart city services, a novel methodology that is highly recommended is edge computing which holds facility with high processing ability in the city terminals. However, the threat of privacy and safety of information in the collaborative services is crucial in order to ensure a safer environment of edge computing. To address this privacy issue, we have proposed an offloading method that can be used in smarty city to strengthen the privacy, promote edge utility and improve offloading efficiency. In order to establish balance between the collaborative service and privacy preservation, edge computing is integrated with information entropy. The performance is further verified using simulation analysis in appropriate environment.


2016 ◽  
Vol 65 (5) ◽  
pp. 1339-1350 ◽  
Author(s):  
Yibin Li ◽  
Wenyun Dai ◽  
Zhong Ming ◽  
Meikang Qiu

2021 ◽  
Author(s):  
PATIL DADAYAN

ABSTRACT Google’s sister company Sidewalk Labs has proposed to build a smart city on the Eastern end of Toronto’s waterfront. This initiative is the first of its scale in North America. With the creation of a smart city come implications for the technological, political and cultural life of a city, that give Sidewalk Labs unprecedented power in the realm of urban governance. This study aims to examine whether or not Sidewalk Labs is offering a city of surveillance. Building on existing work on the influence of data, big tech and governance, as well as the cultural importance of neighborhoods, it aims to explain the possible outcomes of the decision to adopt such an initiative in a multicultural urban environment. Alongside a review of the literature on surveillance capitalism, governance and modern urban theory, discourse analysis of the recent Master Innovation and Development Plan (MIDP) released was conducted. Analysis of the material demonstrated a possible desire to control and lead, with data as the key instrument granting the tech company power of uncompetitive nature. The results indicate that there could be negative implications associated with the creation of a smart city in Toronto, but are not of unruly scale. On this basis, it is recommended that Canada update its privacy protection laws to include technological advancements of this scale, and require government involvement in the project at every stage.


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