Modeling Collaborative Robots for Detecting Intrusions

被引:3
|
作者
Liang, Xiannuan [1 ]
Xiao, Yang [1 ]
机构
[1] Univ Alabama, Dept Comp Sci, Tuscaloosa, AL 35487 USA
来源
PROCEEDINGS OF THE 2009 INTERNATIONAL SYMPOSIUM ON COLLABORATIVE TECHNOLOGIES AND SYSTEMS | 2009年
关键词
Collaboration; Robot; Coalition; Mobile Sensor; Game theory; Evolutionarily stable strategy; COALITION-FORMATION; ALLIANCE FORMATION; BABOONS; EVOLUTIONARY; COOPERATION; PATTERNS; WINNER;
D O I
10.1109/CTS.2009.5067495
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we study collaborative robots for detecting intrusions using game theory. We consider the coalition formation in a group of three robots which detect and capture intrusions in a closed curve loop. In our analysis model, individuals seek alliances/collaboration if they think their detect regions/lengths are too short to gain an intrusion capturing probability larger enough on their own. We allow coalition seeking to carry an investment cost (c) and let outcomes of parities to be determined by the formation of coalition, with the detect length of a coalition simply to be the sum of those of separate coalition members.
引用
收藏
页码:306 / 313
页数:8
相关论文
共 50 条
  • [1] Detecting and modeling doors with mobile robots
    Anguelov, D
    Koller, D
    Parker, E
    Thrun, S
    2004 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1- 5, PROCEEDINGS, 2004, : 3777 - 3784
  • [2] Slide modeling and detecting analysis for humanoid robots
    Yu, Leibin
    Cao, Qixin
    Qiu, Changwu
    Gaojishu Tongxin/Chinese High Technology Letters, 2008, 18 (02): : 147 - 150
  • [3] Research on Elastic Deformation Modeling of Collaborative Robots
    Hu, Mingwei
    Wang, Hongguang
    Pan, Xinan
    Tian, Yong
    2017 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (IEEE ROBIO 2017), 2017, : 2462 - 2467
  • [4] On Lightweight Intrusion Detection: Modeling and Detecting Intrusions Dedicated to OLSR Protocol
    Alattar, Mouhannad
    Sailhan, Francoise
    Bourgeois, Julien
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2013,
  • [5] Studying Bio-Inspired Coalition Formation of Robots for Detecting Intrusions Using Game Theory
    Liang, Xiannuan
    Xiao, Yang
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2010, 40 (03): : 683 - 693
  • [6] Detecting known and novel network intrusions
    Bouzida, Yacine
    Cuppens, Frederic
    SECURITY AND PRIVACY IN DYNAMIC ENVIRONMENTS, 2006, 201 : 258 - +
  • [7] DIWeDa - Detecting intrusions in web databases
    Roichman, Alex
    Gudes, Ehud
    DATA AND APPLICATIONS SECURITY XXII, 2008, 5094 : 313 - +
  • [8] Detecting Wireless Intrusions With RF Watermarks
    Betances, J. Addison
    Matsui, Yousuke Z.
    PROCEEDINGS OF THE 2019 IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE (NAECON), 2019, : 200 - 203
  • [9] Detecting Computer Intrusions with Bayesian Networks
    Tylman, Wojciech
    INTELLIGENT DATA ENGINEERING AND AUTOMATED LEARNING, PROCEEDINGS, 2009, 5788 : 82 - 91
  • [10] Collaborative Patterns for Workflows with Collaborative Robots
    Samhaber, Stefan
    Leitner, Maria
    COOPERATIVE INFORMATION SYSTEMS (COOPIS 2022), 2022, 13591 : 131 - 148