• Title/Summary/Keyword: mobile sensor node

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Active Security Management on Active Networks (능동 네트워크 기반의 능동 보안 관리 시스템)

  • 이영석
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.4C
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    • pp.559-569
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    • 2004
  • It has become more difficult to correspond an cyber attack quickly as a pattern of attack becomes various and complex. And, current security mechanisms just have passive defense functionalities. In this paper, we propose new network security architecture to respond various cyber attacks rapidly and to chase and isolate the attackers through cooperation between security zones. The proposed architecture make possible to deal effectively with cyber attacks such as IP spoofing or DDoS(Distributed Denial of Service) using active packet technology including a mobile sensor on active network. Active Security Management System based on proposed security architecture consists of active security node and active security server in a security zone, and is designed to have more active correspondent than that of existing mechanisms. We implemented these mechanisms in Linux routers and experimented on a testbed to verify realization possibility of Active Security Management System. The experimentation results are analyzed.

Implementation of Indoor Location Tracking System Using ETOA Algorithm in Non-Line-Of-Sight Environment (비가시선(NLOS) 환경에서 ETOA알고리즘을 이용한 실내 위치 추적 시스템 구현)

  • Kang, Kyeung-Sik;Choi, Goang-Seog
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.4B
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    • pp.300-308
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    • 2012
  • Many indoor location tracking technologies have been proposed. Generally indoor location tracking using TOA signal is used, there is a weak point that it's difficult to track the location due to obstacles like a refraction, reflection and dispersion of radio wave. In this paper, we apply ETOA(Estimated-TOA) algorithm in NLOS(Non-Line-Of-Sight) environment to solve above problem. In NLOS environment, TOA value between Beacon and Mobile node is predicted by ETOA algorithm and the tracking of indoor location is also possible to identify using two NLOS beacons of three beacons by this algorithm. We show that the proposed algorithm is accurate location tracking is accomplished using the applying the proposed algorithm to indoor moving robot and the inertia sensor of robot and Kalman filter algorithm.