The Experts below are selected from a list of 13329 Experts worldwide ranked by ideXlab platform

Alex C. Kot - One of the best experts on this subject based on the ideXlab platform.

  • Securing Online Reputation Systems Through Trust Modeling and Temporal Analysis
    IEEE Transactions on Information Forensics and Security, 2013
    Co-Authors: Yuhong Liu, Siyuan Liu, Yan Lindsay Sun, Alex C. Kot
    Abstract:

    With the rapid development of reputation systems in various online social networks,manipulations against such systems are evolving quickly. In this paper, we propose scheme TATA, the abbreviation of joint TemporalAnd TrustAnalysis,which protects reputation systems from a new angle: the combination of time do- main anomaly detection and Dempster–Shafer theory-based trust computation. Real user attack Data collected from a cyber compe- tition is used to construct the Testing Data Set. Compared with two representative reputation schemes and our previous scheme,TATA achieves a significantly better performance in terms of identifying items under attack, detecting malicious users who insert dishonest ratings, and recovering reputation scores.

Yuhong Liu - One of the best experts on this subject based on the ideXlab platform.

  • Securing Online Reputation Systems Through Trust Modeling and Temporal Analysis
    IEEE Transactions on Information Forensics and Security, 2013
    Co-Authors: Yuhong Liu, Siyuan Liu, Yan Lindsay Sun, Alex C. Kot
    Abstract:

    With the rapid development of reputation systems in various online social networks,manipulations against such systems are evolving quickly. In this paper, we propose scheme TATA, the abbreviation of joint TemporalAnd TrustAnalysis,which protects reputation systems from a new angle: the combination of time do- main anomaly detection and Dempster–Shafer theory-based trust computation. Real user attack Data collected from a cyber compe- tition is used to construct the Testing Data Set. Compared with two representative reputation schemes and our previous scheme,TATA achieves a significantly better performance in terms of identifying items under attack, detecting malicious users who insert dishonest ratings, and recovering reputation scores.

Gholamhassan Najafi - One of the best experts on this subject based on the ideXlab platform.

  • Fault diagnosis and classification of water pump using adaptive neuro-fuzzy inference system based on vibration signals
    Structural Health Monitoring, 2015
    Co-Authors: Ashkan Moosavian, Meghdad Khazaee, Hojat Ahmadi, Gholamhassan Najafi
    Abstract:

    This article presents a procedure to intelligent fault diagnosis of water pump using vibration monitoring and adaptive neuro-fuzzy inference system. Vibration Data from a water pump with three different conditions, namely, healthy, looseness, and misalignment faults, were acquired using an accelerometer sensor. On this basis, the proposed method extracted different feature parameters from the vibration signals in the frequency-domain to establish feature vectors. Finally, these features were input into adaptive neuro-fuzzy inference system to carry out faulty pattern classification. The performance of the system was validated by applying the Testing Data Set to the trained adaptive neuro-fuzzy inference system model. The experimental results showed that this method had a high classification accuracy for both training and Testing Data Sets. Therefore, the proposed approach can reliably recognize different fault categories and serve as an intelligent fault diagnosis system in real applications.

Yan Lindsay Sun - One of the best experts on this subject based on the ideXlab platform.

  • Securing Online Reputation Systems Through Trust Modeling and Temporal Analysis
    IEEE Transactions on Information Forensics and Security, 2013
    Co-Authors: Yuhong Liu, Siyuan Liu, Yan Lindsay Sun, Alex C. Kot
    Abstract:

    With the rapid development of reputation systems in various online social networks,manipulations against such systems are evolving quickly. In this paper, we propose scheme TATA, the abbreviation of joint TemporalAnd TrustAnalysis,which protects reputation systems from a new angle: the combination of time do- main anomaly detection and Dempster–Shafer theory-based trust computation. Real user attack Data collected from a cyber compe- tition is used to construct the Testing Data Set. Compared with two representative reputation schemes and our previous scheme,TATA achieves a significantly better performance in terms of identifying items under attack, detecting malicious users who insert dishonest ratings, and recovering reputation scores.

Siyuan Liu - One of the best experts on this subject based on the ideXlab platform.

  • Securing Online Reputation Systems Through Trust Modeling and Temporal Analysis
    IEEE Transactions on Information Forensics and Security, 2013
    Co-Authors: Yuhong Liu, Siyuan Liu, Yan Lindsay Sun, Alex C. Kot
    Abstract:

    With the rapid development of reputation systems in various online social networks,manipulations against such systems are evolving quickly. In this paper, we propose scheme TATA, the abbreviation of joint TemporalAnd TrustAnalysis,which protects reputation systems from a new angle: the combination of time do- main anomaly detection and Dempster–Shafer theory-based trust computation. Real user attack Data collected from a cyber compe- tition is used to construct the Testing Data Set. Compared with two representative reputation schemes and our previous scheme,TATA achieves a significantly better performance in terms of identifying items under attack, detecting malicious users who insert dishonest ratings, and recovering reputation scores.