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Shancang Li

Biographic Data

ID6628727
NAMEShancang Li
GIVEN NAMESShancang
FAMILY NAMELi
SIGNATURELI S
AFFILIATIONSUniversity of the West of England
ORCID0000-0001-5663-7420
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS3
AUTHOR COUNT6
EDITOR COUNT0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Attack Risk Analysis in Data Anonymization in Internet of Things

    Open Access•Tianli Yang, Shancang Li et al.•ARTICLE•IEEE Transactions on Computational…•2024

    An enormous volume of data is generated in the Internet of Things (IoT), which needs to be anonymized before sharing with public or third parties to minimize reidentification risk and protect sensitive information. Data anonymization techniques can remove information capable of identifying individuals. However, inappropriate data anonymization can increase the risk of reidentification. This work focuses on potential attack risks of anonymized dat…

  • Robust Collaborative Filtering Recommendation With User-Item-Trust Records

    Open Access•Fan Wang, Haibin Zhu et al.•ARTICLE•IEEE Transactions on Computational…•2022

    The ever-increasing popularity of recommendation systems allows users to find appropriate services without excessive effort. However, due to the unstable and complex network environment, the historical behavior data of users are quite sparse in most cases. The inherent drawbacks render preference prediction infeasible for cold-start users and have become a crucial issue to be resolved in recommendation systems. To deal with the problems, we first…

  • Sirqu

    Open Access•Zhaoli Liu, Tao Qin et al.•ARTICLE•IEEE Transactions on Computational…•2022

    Rumors can spread very rapidly through online social networks (OSNs), leading to huge negative impact on human society. Hence, there is an urgent need to develop models that can minimize the spread of rumors. In this article, we propose a novel framework to improve the cost and efficiency of rumor propagation control. First, to reduce the impact of rumor controlling mechanism on users’ normal activities, we introduce a soft dynamic quarantine str…

  • Location-Aware Service Recommendations With Privacy-Preservation in the Internet of Things

    Open Access•Wenmin Lin, Xuyun Zhang et al.•ARTICLE•IEEE Transactions on Computational…•2021

    With the ever-increasing maturity and popularization of the Internet of Things (IoT), tremendous business applications developed by distinct enterprises or organizations have been encapsulated into lightweight web services that can easily be accessed or invoked remotely. However, the big volume of candidate web services places a heavy burden on the users' service selection decision-making process. Under the circumstance, a variety of intelligent …

  • The Internet of Things

    Open Access•Shancang Li, Theo Tryfonas et al.•ARTICLE•Internet Research•2016•Cited by: 3•References: 2

    Purpose – The purpose of this paper is to provide an in-depth overview of the security requirements and challenges for Internet of Things (IoT) and discuss security solutions for various enabling technologies and implications to various applications. Design/methodology/approach – Security requirements and solutions are analysed based on a four-layer framework of IoT on sensing layer, network layer, service layer, and application layer. The cross-…

  • Internet of Things in Industries

    Open Access•Li Da Xu, Wu He et al.•ARTICLE•IEEE Transactions on Industrial…•2014

    Internet of Things (IoT) has provided a promising opportunity to build powerful industrial systems and applications by leveraging the growing ubiquity of radio-frequency identification (RFID), and wireless, mobile, and sensor devices. A wide range of industrial IoT applications have been developed and deployed in recent years. In an effort to understand the development of IoT in industries, this paper reviews the current research of IoT, key enab…

  • The Internet of Things

    Open Access•Shancang Li, Theo Tryfonas et al.•ARTICLE•Internet Research•2016•Cited by: 3•References: 2

    Purpose – The purpose of this paper is to provide an in-depth overview of the security requirements and challenges for Internet of Things (IoT) and discuss security solutions for various enabling technologies and implications to various applications. Design/methodology/approach – Security requirements and solutions are analysed based on a four-layer framework of IoT on sensing layer, network layer, service layer, and application layer. The cross-…

  • Internet of Things in Industries

    Open Access•Li Da Xu, Wu He et al.•ARTICLE•IEEE Transactions on Industrial…•2014

    Internet of Things (IoT) has provided a promising opportunity to build powerful industrial systems and applications by leveraging the growing ubiquity of radio-frequency identification (RFID), and wireless, mobile, and sensor devices. A wide range of industrial IoT applications have been developed and deployed in recent years. In an effort to understand the development of IoT in industries, this paper reviews the current research of IoT, key enab…

  • The Internet of Things

    Open Access•Shancang Li, Theo Tryfonas et al.•ARTICLE•Internet Research•2016•Cited by: 3•References: 2

    Purpose – The purpose of this paper is to provide an in-depth overview of the security requirements and challenges for Internet of Things (IoT) and discuss security solutions for various enabling technologies and implications to various applications. Design/methodology/approach – Security requirements and solutions are analysed based on a four-layer framework of IoT on sensing layer, network layer, service layer, and application layer. The cross-…

  • Location-Aware Service Recommendations With Privacy-Preservation in the Internet of Things

    Open Access•Wenmin Lin, Xuyun Zhang et al.•ARTICLE•IEEE Transactions on Computational…•2021

    With the ever-increasing maturity and popularization of the Internet of Things (IoT), tremendous business applications developed by distinct enterprises or organizations have been encapsulated into lightweight web services that can easily be accessed or invoked remotely. However, the big volume of candidate web services places a heavy burden on the users' service selection decision-making process. Under the circumstance, a variety of intelligent …

  • Robust Collaborative Filtering Recommendation With User-Item-Trust Records

    Open Access•Fan Wang, Haibin Zhu et al.•ARTICLE•IEEE Transactions on Computational…•2022

    The ever-increasing popularity of recommendation systems allows users to find appropriate services without excessive effort. However, due to the unstable and complex network environment, the historical behavior data of users are quite sparse in most cases. The inherent drawbacks render preference prediction infeasible for cold-start users and have become a crucial issue to be resolved in recommendation systems. To deal with the problems, we first…

  • Sirqu

    Open Access•Zhaoli Liu, Tao Qin et al.•ARTICLE•IEEE Transactions on Computational…•2022

    Rumors can spread very rapidly through online social networks (OSNs), leading to huge negative impact on human society. Hence, there is an urgent need to develop models that can minimize the spread of rumors. In this article, we propose a novel framework to improve the cost and efficiency of rumor propagation control. First, to reduce the impact of rumor controlling mechanism on users’ normal activities, we introduce a soft dynamic quarantine str…

  • Attack Risk Analysis in Data Anonymization in Internet of Things

    Open Access•Tianli Yang, Shancang Li et al.•ARTICLE•IEEE Transactions on Computational…•2024

    An enormous volume of data is generated in the Internet of Things (IoT), which needs to be anonymized before sharing with public or third parties to minimize reidentification risk and protect sensitive information. Data anonymization techniques can remove information capable of identifying individuals. However, inappropriate data anonymization can increase the risk of reidentification. This work focuses on potential attack risks of anonymized dat…

Computer Science (6 works) · Computer security (5 works) · Caching and Content Delivery (2 works) · Cloud Data Security Solutions (2 works) · Computer network (2 works) · Data mining (2 works) · Internet of Things (2 works) · IoT and Edge/Fog Computing (2 works) · Mathematics (2 works) · Privacy-Preserving Technologies in Data (2 works)

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