Browsing by Author "Mayadunna, H."

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    Evaluation of Trustworthiness for Online Social Networks Using Advanced Machine Learning
    (3rd International Conference on Advances in Computing and Technology (ICACT ‒ 2018), Faculty of Computing and Technology, University of Kelaniya, Sri Lanka., 2018) Mayadunna, H.; Rupasinghe, L.
    The trustworthiness of online users has become a current issue in the field of social computing with the rapid popularity of online social networks. The evaluation of trust in social networks has been widely used in situations such as friend – recommendation, e- commerce and access control systems. For sharing and exchanging of information between the trusted users only trustworthiness of the user needs to be determined. One of the key requirements in trust applications is recognizing the trustworthy actors in the network. In the proposed research, a general trust framework will be introduced to calculate the node trust values for social network users by applying machine learning methods. Some selected features of social network are used as the training feature and the measurement whether there is edge between nodes used as label information. Secondly, a training model will be used to calculate the node trust value. Then a recommendation algorithm will be used to calculate node trust score. Finally, the simulation is used to verify the performance of suggested method. For the simulation of experimentation, data from an adaptive social network will be used. The emergence of online social networking (OSN), like Facebook, Twitter, Instagram are allowed people to build and maintain social relationship over the internet. Currently, a large number of users around the globe are connected to the online social networks for sharing and exchanging information. Online social networking is a common platform for communication and sharing different type of information. The popularity has increased of such social networks that have millions of connected users. In online social network, it is important to determine which user gets access to the information related to the user. Information related to trustworthiness of other users can help a user to take decisions about information exchange, sorting and filtering of information. The method will help in building more confidence about using social network among users. Protection of information from untrusted user is crucial aspect in social network. The method enables maintenance of the user privacy and confidentiality by finding trustworthiness of user.
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    A Trust Framework for Social Networks in MANET Environment
    (International Postgraduate Research Conference 2019, Faculty of Graduate Studies, University of Kelaniya, Sri Lanka, 2019) Mayadunna, H.; Liyanage, S.R.
    The improvement of online social networks such as Facebook, Twitter, Instagram has been expanded the idea of using social networks wider. The utilization of mobile phones of general public that given access to social networks makes such platforms popular. Node to node communication in a network gives a discussion to their individuals to associate with different individuals in the systems and share hobbies, opinions, and educational involvements including daily experiences. A significant number of these online social networks are operated with the point of associating to connect many people. Hence, it is important to enhance trustworthiness in social networks. This research is focusing on implementing a trust factor in the device layer. Information within the social networks can be used to get additional trust value for the devices. Hence trust can be calculated at the upper layers to be used at the device level. Thereby, research has developed a social trust framework to allow MANET (Mobile Ad-hoc Network) environment to move cross layer to find trust-related information which can be used at the device level for decision making. The captured social network behavior will provide an indication of how trustworthy the same device by capturing upper layer information. The intent of this research project is to create a trust layer on top of a social environment, in order to achieve the advantages of trustworthy connections. A network structure has been developed in order to complete that achievement. Prior to that, information of Facebook personal friend networks has been extracted and analyzed. Analyzing the parameters which are related to security of the social network is done through a literature survey. While examining the information from social networks, appropriate security-related parameters were selected with their possible states and values. A social network is a group of people or organizations or other entities that connected by a social relationship including friendship, information exchange or corporative working. Social network analysis is the process of mapping and measuring relationships, interactions and flows between people, groups, organizations or other social entities. In general, social network trust can be defined as a measure of confidence that an entity or entities behaves in an expected manner. The research work is reviewing the definitions and measures of trust by focusing on social networks where it can be utilizing within further achievements such as improving security within any kind of network