Real Time Intrusion Detection System for Outdoor Environment

被引:0
|
作者
Liang, K. M. [1 ]
Hon, H. W. [1 ]
Khairunnisa, M. J. [1 ]
Choong, T. L. [1 ]
Khairil, H. Z. [1 ]
机构
[1] MIMOS Berhad, Ctr Adv Informat & Architecture Dev, Kuala Lumpur, Malaysia
关键词
detection; perimeter fencing; outdoor environment; system architecture;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper aims to present the overall architecture of intrusion detection system and its effectiveness in detecting intruder at an outdoor environment. The outdoor environment is exposing to various brightness condition in terms of the weather, day transition, dynamic background of the scene, shadow and the visibility degree of the infrared camera. In this work, the capturing devices and intrusion detection system are setup physically at the pilot site. A thorough evaluation is done for consecutive three days in order to measure the accuracy of the system in detecting intruder throughout the day and night. In addition, the system is evaluated together with a commercial intrusion detection system from Australia as a technology benchmark. The accuracy of the proposed system and benchmark system is illustrated in this paper and the proposed system delivers higher accuracy as compared to the benchmark system.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] A real-time intrusion detection system using data mining technique
    Leu, Fang-Yie
    Hu, Kai-Wei
    INT CONF ON CYBERNETICS AND INFORMATION TECHNOLOGIES, SYSTEMS AND APPLICATIONS/INT CONF ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL II, 2007, : 148 - 153
  • [22] A Real-time Intrusion Detection System Based on PSO-SVM
    Wang, Jun
    Hong, Xu
    Ren, Rong-rong
    Li, Tai-hang
    PROCEEDINGS OF 2009 INTERNATIONAL WORKSHOP ON INFORMATION SECURITY AND APPLICATION, 2009, : 319 - 321
  • [23] Deep Neural Network Based Real-Time Intrusion Detection System
    Sharuka Promodya Thirimanne
    Lasitha Jayawardana
    Lasith Yasakethu
    Pushpika Liyanaarachchi
    Chaminda Hewage
    SN Computer Science, 2022, 3 (2)
  • [24] A real-time vehicle detection and tracking system in outdoor traffic scenes
    Li, X
    Yao, XC
    Murphey, YL
    Karlsen, R
    Gerhart, G
    PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOL 2, 2004, : 761 - 764
  • [25] Distributed hybrid agent based intrusion detection and real time response system
    Kasarekar, V
    Ramamurthy, B
    FIRST INTERNATIONAL CONFERENCE ON BROADBAND NETWORKS, PROCEEDINGS, 2004, : 739 - 741
  • [26] WIDS Real-Time Intrusion Detection System Using Entrophical Approach
    Ethala, Kamalanaban
    Sheshadri, R.
    Chakkaravarthy, S. Sibi
    ARTIFICIAL INTELLIGENCE AND EVOLUTIONARY ALGORITHMS IN ENGINEERING SYSTEMS, VOL 1, 2015, 324 : 73 - 79
  • [27] Real-Time Network Intrusion Detection System Based on Deep Learning
    Dong, Yuansheng
    Wang, Rong
    He, Juan
    PROCEEDINGS OF 2019 IEEE 10TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2019), 2019, : 1 - 4
  • [28] SOME/IP Intrusion Detection System Using Real-Time and Retroactive Anomaly Detection
    Koyama, Takuma
    Tanaka, Masashi
    Miyajima, Asami
    Ukai, Shintaro
    Sugashima, Takeshi
    Egawa, Masumi
    2022 IEEE 95TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2022-SPRING), 2022,
  • [29] Intrusion detection and prevention system for an IoT environment
    Ajay Kumar
    KAbhishek
    MRGhalib
    AShankar
    XCheng
    Digital Communications and Networks, 2022, 8 (04) : 540 - 551
  • [30] Intrusion detection and prevention system for an IoT environment
    Kumar, Ajay
    Abhishek, K.
    Ghalib, M. R.
    Shankar, A.
    Cheng, X.
    DIGITAL COMMUNICATIONS AND NETWORKS, 2022, 8 (04) : 540 - 551