Abstract
In the peer-to-peer (P2P) type of topic-based publish/subscribe (P2PPS) model, each peer process (peer) can publish and subscribe event messages which are characterized by topics with no centralized coordinator. A peer \(p_j\) publishes an event message \(e_j\) after receiving an event message \(e_i\), i.e. \(e_i\) causally precedes \(e_j\). Here, the event message \(e_j\) may carry information of the event message \(e_i\). If a peer \(p_k\) receives \(e_j\) but is not allowed to subscribe the topics of \(e_i\), the peer \(p_k\) illegally obtains the information of \(e_i\) via \(e_j\). In addition, if a source peer \(p_i\) publishes an event message e without related topics or with unrelated topics, a destination peer \(p_j\) may misunderstand the meanings of the event message e, i.e. the event message e is maliciously received by the peer \(p_j\). In our previous studies, the SBS, TBS, FS-H protocols and the TBSM protocol are proposed to ban illegal and malicious event messages, respectively. In this paper, we evaluate the TBSM protocol in terms of the numbers of illegal and malicious types of event messages. In the evaluation, we show the ratio of the number of event messages banned decreases as the numbers of topics in a system increases.
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Acknowledgements
This work was supported by Japan Society for the Promotion of Science (JSPS) KAKENHI 15H0295 and Grant-in-Aid for JSPS Research Fellow grant 17J00106.
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Nakamura, S., Enokido, T., Takizawa, M. (2019). Evaluation of a Protocol to Prevent Malicious Information Flow in P2PPS Systems. In: Barolli, L., Javaid, N., Ikeda, M., Takizawa, M. (eds) Complex, Intelligent, and Software Intensive Systems. CISIS 2018. Advances in Intelligent Systems and Computing, vol 772. Springer, Cham. https://doi.org/10.1007/978-3-319-93659-8_9
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DOI: https://doi.org/10.1007/978-3-319-93659-8_9
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