An information flow control model in a topic-based publish/subscribe system

被引:23
|
作者
Nakamura, Shigenari [1 ]
Ogiela, Lidia [2 ]
Enokido, Tomoya [3 ]
Takizawa, Makoto [4 ]
机构
[1] Hosei Univ, Grad Sch Sci & Engn, 3-7-2 Kajino Cho, Koganei, Tokyo 1848584, Japan
[2] AGH Univ Sci & Technol, Dept Appl Informat, Krakow, Poland
[3] Rissho Univ, Fac Business Adm, Tokyo, Japan
[4] Hosei Univ, Dept Adv Sci, Tokyo, Japan
关键词
Information flow control; peer-to-peer (P2P) model; topic-based publish/subscribe (PS) systems; subscription-based synchronization (SBS) protocol; topic-based access control (TBAC) model; unnecessarily banned message;
D O I
10.3233/JHS-180593
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A publish/subscribe (PS) model is an event-driven model of a distributed system. In traditional PS systems, each peer (process) can either publish or subscribe events. In this paper, we consider a peer-to-peer (P2P) type of topic-based PS model where each peer can both publish and subscribe events. In this paper, we newly propose a topic-based access control (TBAC) model for topic-based PS systems. Here, an access right is a pair < t, op > of a topic t and a publish or subscribe operation op. A peer is allowed to publish an event message with publication topics and subscribe interesting topics only if the publication and subscription access rights are granted to the peer, respectively. An event message e is delivered to a peer p(i) if the publication of e and subscription of pi include some common topic. If a peer pi publishes an event message e2 after receiving an event message e1, the event message e2 may bring some information of the event message e1. If a target peer p(j) is not allowed to subscribe at least one topic which is related with the event message e1, information in the peer pi illegally flows to the target peer pj. We newly propose a subscription-based synchronization (SBS) protocol to prevent illegal information flow. Here, an event message is banned by a target peer if the event message implies illegal information flow. However, event messages may be unnecessarily banned by a peer even if no illegal information flow to the peer occurs. In the evaluation, we show the number of event messages unnecessarily banned in the SBS protocol.
引用
收藏
页码:243 / 257
页数:15
相关论文
共 50 条
  • [41] Information Flow Control Models in Peer-to-Peer Publish/Subscribe Systems
    Nakamura, Shigenari
    Enokido, Tomoya
    Takizawa, Makoto
    PROCEEDINGS OF 2016 10TH INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT, AND SOFTWARE INTENSIVE SYSTEMS (CISIS), 2016, : 167 - 174
  • [42] MQTT2EdgePeer: a Robust and Scalable Brokerless Peer-to-Peer Edge Middleware for Topic-Based Publish/Subscribe
    Rahmani, Saeed
    Ali-Pour, Amir
    Coti, Camille
    Gascon-Samson, Julien
    2024 IEEE 24TH INTERNATIONAL SYMPOSIUM ON CLUSTER, CLOUD AND INTERNET COMPUTING, CCGRID 2024, 2024, : 419 - 424
  • [43] A Distributed Publish-Subscribe Algorithm Based on Spatial Text Information Flow
    Liu, Yangtao
    Yu, Xiaofeng
    JOURNAL OF WEB ENGINEERING, 2023, 22 (03): : 385 - 404
  • [44] Information Services Model based on Publish/Subscribe for Large Scale Sensor Networks
    Dong, Biao
    Chen, Jinhui
    PROCEEDINGS OF THE 2015 4TH NATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND COMPUTER ENGINEERING ( NCEECE 2015), 2016, 47 : 595 - 599
  • [45] Publish/Subscribe model based Communication for Telerobotics
    Kim, Young Gyu
    Kang, Jeong Seok
    Park, Hong Seong
    2013 10TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), 2013, : 305 - 308
  • [46] An ontology-based publish/subscribe system
    Wang, JL
    Jin, BH
    Li, J
    MIDDLEWARE 2004, PROCEEDINGS, 2004, 3231 : 232 - 253
  • [47] Estimation of a Low-rank Topic-Based Model for Information Cascades
    Yu, Ming
    Gupta, Varun
    Kolar, Mladen
    JOURNAL OF MACHINE LEARNING RESEARCH, 2020, 21
  • [48] Estimation of a low-rank topic-based model for information cascades
    Yu, Ming
    Gupta, Varun
    Kolar, Mladen
    Journal of Machine Learning Research, 2020, 21
  • [49] A topic-based document correlation model
    Jia, Xi-Ping
    Peng, Hong
    Zheng, Qj-Lun
    Jiang, Zhuo-Lin
    Li, Zhao
    PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-7, 2008, : 2487 - 2491
  • [50] A Topic-based Reviewer Assignment System
    Kou, Ngai Meng
    Hou, Leong U.
    Mamoulis, Nikos
    Li, Yuhong
    Li, Ye
    Gong, Zhiguo
    PROCEEDINGS OF THE VLDB ENDOWMENT, 2015, 8 (12): : 1852 - 1855