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      • KCI등재후보

        SDN을 위한 샘플링 기반 네트워크 플러딩 공격 탐지/방어 시스템

        이윤기,김승욱,부 둑 티엡,김경백,Lee, Yungee,Kim, Seung-uk,Vu Duc, Tiep,Kim, Kyungbaek 한국스마트미디어학회 2015 스마트미디어저널 Vol.4 No.4

        최근 SDN은 데이터센터 네트워크로 활발히 사용되고 있으며, 그 사용범위를 점진적으로 늘려나가고 있다. 이러한 새로운 네트워크 환경 변화와 함께, 네트워크 보안시스템을 SDN 환경 상에서 구축하는 연구들이 진행되고 있다. 특히 OpenFlow Switch의 포트를 통과하는 패킷들을 지속적으로 관찰함으로써 네트워크 플러딩 공격 등을 탐지하기 위한 시스템들이 제안되었다. 하지만 다수의 스위치를 중앙집중형 컨트롤러에서 관리하는 SDN의 특성상 지속적인 네트워크 트래픽 관찰은 상당한 오버헤드로 작용할 수 있다. 이 논문에서는 이러한 지속적인 네트워크 트래픽 관찰에 따른 오버헤드를 줄이면서도 네트워크 플러딩 공격을 효과적으로 탐지 및 방어 할 수 있는, 샘플링 기반 네트워크 플러딩 공격 탐지 및 방어 시스템을 제안한다. 제안된 시스템은 네트워크 트래픽을 주어진 샘플링 조건에 맞추어 주기적으로 관찰하고, 샘플링 패킷들을 분석하여 네트워크 플러딩 공격을 탐지하며, 탐지된 공격을 OpenFlow Switch의 플로우 엔트리관리를 통해 능동적으로 차단하다. 네트워크 트래픽 샘플링을 위해 sFlow agent를 활용하고, 샘플링된 패킷 정보를 소프트웨어적으로 분석하여 공격을 탐지하기 위해 오픈소스 기반 IDS인 snort을 사용하였다. 탐지된 공격의 자동화된 방어 기작의 구현을 위해 OpenDaylight SDN 컨트롤러용 어플리케이션을 개발하여 적용하였다. 제안된 시스템은 OVS (Open Virtual Switch)를 활용한 로컬 테스트베드 상에서 그 동작을 검증하였고, 다양한 샘플링 조건에 따른 제안된 시스템의 성능 및 오버헤드를 분석하였다. Recently, SDN is actively used as datacenter networks and gradually increase its applied areas. Along with this change of networking environment, research of deploying network security systems on SDN becomes highlighted. Especially, systems for detecting network flooding attacks by monitoring every packets through ports of OpenFlow switches have been proposed. However, because of the centralized management of a SDN controller which manage multiple switches, it may be substantial overhead that the attack detection system continuously monitors all the flows. In this paper, a sampling based network flooding attack detection and prevention system is proposed to reduce the overhead of monitoring packets and to achieve reasonable functionality of attack detection and prevention. The proposed system periodically takes sample packets of network flows with the given sampling conditions, analyzes the sampled packets to detect network flooding attacks, and block the attack flows actively by managing the flow entries in OpenFlow switches. As network traffic sampler, sFlow agent is used, and snort, an opensource IDS, is used to detect network flooding attack from the sampled packets. For active prevention of the detected attacks, an OpenDaylight application is developed and applied. The proposed system is evaluated on the local testbed composed with multiple OVSes (Open Virtual Switch), and the performance and overhead of the proposed system under various sampling condition is analyzed.

      • KCI등재

        Preparation of Waterproof and Breathable Polyurethane Fiber Membrane Modified by Fluorosilane-modified Silica

        Yunge Yu,Yan Liu,Fuli Zhang,Shixin Jin,Yaqian Xiao,Binjie Xin,Yuansheng Zheng 한국섬유공학회 2020 Fibers and polymers Vol.21 No.5

        Polyurethane is a thermoplastic elastomer with excellent physical and chemical properties, the hydrophilicity ofPU limits the wide application in the waterproof and breathable materials market. In this study, SiO2 nanoparticles werehydrophobically modified by fluorosilane to prepare the fluorosilane-modified silica (F-SiO2), then it was added into thesynthesized polyurethane to prepare waterproof and breathable film (F-SiO2/PU) by electrospinning. Compared withpolyurethane membranes, F-SiO2/PU composite membranes could form rough morphological surface through the blendingof F-SiO2. The experimental results showed that the water contact angle of the composite nanofiber membranes increase withthe addition of the amount of modified silica, and the water contact angle reached 135 o when the dosage of F-SiO2 was5 wt%. The composite nanofiber membranes could be endowed with excellent waterproof performance, hydrophobicity(50 kPa) and moisture permeability (10.4 kg/m2·h). Besides, the prepared membrane can remain the hydrophobic propertystability under the dynamic tensile of large-scale deformation.

      • KCI등재

        Bioaugmentation with GFP-Tagged Pseudomonas migulae AN-1 in Aniline-Contaminated Aquifer Microcosms: Cellular Responses, Survival and Effect on Indigenous Bacterial Community

        ( Yongsheng Zhao ),( Dan Qu ),( Rui Zhou ),( Yunge Ma ),( Hao Wang ),( Hejun Ren ) 한국미생물 · 생명공학회 2016 Journal of microbiology and biotechnology Vol.26 No.5

        The recently isolated aniline-degrading bacterium Pseudomonas migulae AN-1 was tagged with green fluorescent protein (GFP) to investigate its bioaugmentation potential against anilinecontaminated groundwater through microcosm experiments. The survival and cellular response of GFP-tagged AN-1 introduced in a lab-scale aquifer corresponded directly with aniline consumption. During the process, the GFP-tagged AN-1 biomass increased from 7.52 × 105 cells/ml to 128 × 105 cells/ml and the degradation rate of aniline was 6.04 mg/l/h. GFP-tagged AN-1 was moderately hydrophobic (41.74%-47.69%) when treated with 20- 100 mg/l aniline and exhibited relatively strong hydrophobicity (55.25%-65.78%) when the concentration of aniline was ≥100 mg/l. The membrane permeability of AN-1 increased followed by a rise in aniline below 100 mg/l and was invariable with aniline above 100 mg/l. Pyrosequencing analysis showed that the relative abundance of Proteobacteria (accounted for 99.22% in the non-bioaugmentation samples) changed to 89.23% after bioaugmentation with GFP-tagged AN-1. Actinobacteria increased from 0.29% to 2.01%, whereas the abundance of Firmicutes barely changed. These combined findings demonstrate the feasibility of removing aniline in aquifers by introducing the strain AN-1 and provide valuable information on the changes in the diversity of dominant populations during bioaugmentation.

      • SCIESCOPUSKCI등재

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