An Uncertainty Trust Assessment Scheme for Trustworthy Partner Selection in Online Games

Purpose: An advances in technology, offline activities are moving toward online by creating the virtual environment (VE). The VE applications include video conferences, video chats, and massively multiplayer online games (MMOG) are interact to establish collaboration and resource sharing in VE by selecting random partners, which trigger various security challenges such as cheating in online games, uncertain behavior, and many others. Consequently, if the player acquires untrustworthy information from the selected partner, that exhausts untrustworthy information processing time as well as consumes the network bandwidth for transmission. Therefore, before establishing a collaboration with any selected partners, it is significant to assess the trustworthiness that enables fairness in online games and reduces untrustworthy information dissemination among the players. Method: the uncertainty trust assessment scheme, such as improved three valued subjective logic (I-3VSL), is leveraged to assess the trust among any two selected pairs. Further, the modified trustwalker (M-TW) algorithm is designed to discover the route from the trustor to the trustee that reduces the computational complexity by avoiding repeated computation once the longest search path is reached. Results: The experiment is conducted by establishing the arbitrary or bridge network. After that, the trust is assessed using I-3VSL with M-TW for various network sizes, depths, and iterations. The trust scores are compared with the assess trust (AT) and Trustwalker (TW) over the M-TW. The results show that the trust score increased 8 – 10% over the AT and 7 – 9% over the TW algorithm. Further, the computational complexity acquired as
$O\left ({n^{2} }\right)$
, which is optimized complexity compared to AT and TW. Conclusion: In MMOG, trustworthy partner selection is one of the most significant fields for artificial reasoning that assess uncertainty trust and represents the trust opinion in different forms. Therefore, the proposed work determines uncertainty trust more effectively compared to existing schemes.