Ali M. Meligy

Colored Petri Net Model for Blocking Misleading Information Propagation in Online Social Networks

Rumors and misleading information propagation is one of the open problems in Online Social Networks (OSN) that haven’t mature solutions till now. In this paper, we propose a Colored Petri Net(CPN) model for detecting and blocking misleading information propagation in OSNs. We experimentally simulated and evaluated the effectiveness of our proposed model on dataset of 1003-newsworthy tweets under the trending topic (#ISIS) in Twitter social network. According to Precision, Recall, and Accuracy metrics, our obtained results cleared outperforming in detecting misleading newsworthy tweets compared with other mechanisms in the literature. In addition, verifying the Reachability property of our CPN model proved that detecting and blocking misleading tweets are reachable states according to the firing life-cycle of tokens.

Minimal privacy disclosure for Accessing Web services

Web services are considered as a powerful solution for information systems integration which is based on the service oriented architecture (SOA). Privacy is a big obstacle when using web services. Therefore, accessing web service with minimal privacy disclosure is an important challenge. Credentials encryption are used for privacy preserving. To the best of our knowledge, in the current privacy preserving approaches for web services, there is no technique that uses the credentials encryption using certificate authority as a third party. In this paper, a proposed approach for minimal privacy disclosure is proposed. This approach is based on the encryption and certificate authorities as third parties. The proposed approach is implemented and tested. The results show that the minimal privacy disclosure is achieved in the proposed approach.