• 제목/요약/키워드: Integrated Networks

검색결과 940건 처리시간 0.029초

Simpler Efficient Group Signature Scheme with Verifier-Local Revocation from Lattices

  • Zhang, Yanhua;Hu, Yupu;Gao, Wen;Jiang, Mingming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권1호
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    • pp.414-430
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    • 2016
  • Verifier-local revocation (VLR) seems to be the most flexible revocation approaches for any group signature scheme, because it just only requires the verifiers to possess some up-to-date revocation information, but not the signers. Langlois et al. (PKC 2014) proposed the first VLR group signature based on lattice assumptions in the random oracle model. Their scheme has at least Õ(n2) ⋅ log N bit group public key and Õ(n) ⋅ log N bit signature, respectively. Here, n is the security parameter and N is the maximum number of group members. In this paper, we present a simpler lattice-based VLR group signature, which is more efficient by a O(log N) factor in both the group public key and the signature size. The security of our VLR group signature can be reduced to the hardness of learning with errors (LWE) and small integer solution (SIS) in the random oracle model.

무선 센서망을 이용한 교량 관리 시스템 (A Bridge Management System Using Wireless Sensor Networks)

  • 박찬흠;김영락;김근덕;박희주;김종근
    • 한국통신학회논문지
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    • 제35권5B호
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    • pp.824-832
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    • 2010
  • 구조물의 관리에서 전문 관리 인력이 직접 조사하는 방식은 예산이나 검사 방법 및 주기에 따라 그 효과가 달라진다. 따라서 효과적이며 자동화된 구조물의 유지관리 방안이 필요하다. 교량 관리에서 자동화된 관리 방안으로는 몇몇 교량에 유선통신 방식을 이용한 상시 감시 시스템을 구축, 운영하고 있으나 교량 통합관리 시스템으로서의 성능은 초보적인 수준에 머물고 있다. 본 논문에서는 센서 네트워크를 적용한 교량의 통합관제 시스템을 구현한다. 교량에 설치된 센서를 무선망으로 구성하고 수집된 정보의 상시 모니터링을 위해 교량 관리자를 위한 기능과 관리시스템 관리용 기능, 그리고 비전문가용 웹 기반 모니터링 시스템을 구축하였다. 본 연구의 결과는 실험대상 교량에 적용하여 그 효과를 분석하고 있다.

Fully secure non-monotonic access structure CP-ABE scheme

  • Yang, Dan;Wang, Baocang;Ban, Xuehua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권3호
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    • pp.1315-1329
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    • 2018
  • Ciphertext-policy attribute-based encryption (CP-ABE) associates ciphertext with access policies. Only when the user's attributes satisfy the ciphertext's policy, they can be capable to decrypt the ciphertext. Expressivity and security are the two directions for the research of CP-ABE. Most of the existing schemes only consider monotonic access structures are selectively secure, resulting in lower expressivity and lower security. Therefore, fully secure CP-ABE schemes with non-monotonic access structure are desired. In the existing fully secure non-monotonic access structure CP-ABE schemes, the attributes that are set is bounded and a one-use constraint is required by these projects on attributes, and efficiency will be lost. In this paper, to overcome the flaw referred to above, we propose a new fully secure non-monotonic access structure CP-ABE. Our proposition enforces no constraints on the scale of the attributes that are set and permits attributes' unrestricted utilization. Furthermore, the scheme's public parameters are composed of a constant number of group elements. We further compare the performance of our scheme with former non-monotonic access structure ABE schemes. It is shown that our scheme has relatively lower computation cost and stronger security.

An amplify-and-forward relaying scheme based on network coding for Deep space communication

  • Guo, Wangmei;Zhang, Junhua;Feng, Guiguo;Zhu, Kaijian;Zhang, Jixiang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권2호
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    • pp.670-683
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    • 2016
  • Network coding, as a new technique to improve the throughput, is studied combined with multi-relay model in this paper to address the challenges of long distance and power limit in deep space communication. First, an amplify-and-forward relaying approach based on analog network coding (AFNC) is proposed in multi-relay network to improve the capacity for deep space communication system, where multiple relays are introduced to overcome the long distance link loss. The design of amplification coefficients is mathematically formulated as the optimization problem of maximizing SNR under sum-power constraint over relays. Then for a dual-hop relay network with a single source, the optimal amplification coefficients are derived when the multiple relays introduce non-coherent noise. Through theoretic analysis and simulation, it is shown that our approach can achieve the maximum transmission rate and perform better over single link transmission for deep space communication.

전술 네트워크 환경의 트래픽 특성을 고려한 통합 매트릭 기반 애드혹 라우팅 기법 (An Efficient Ad Hoc Routing Method for Tactical Networks using Integrated Metrics and Traffic Characteristics)

  • 노봉수;허미정;황기민;박귀순
    • 한국통신학회논문지
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    • 제35권11B호
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    • pp.1676-1684
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    • 2010
  • 전술 네트워크 환경은 분산된 구조 하에 노드의 이동성이 보장되는 망 구조를 지향하며, 상용 통신망에 비해 상대적으로 열악한 무선 채널 환경의 특성이 고려되어야 한다. 이러한 환경에서 신뢰성 있는 데이터 전송을 위해서는 경로 결정 시 다양한 무선 채널 환경 요소 및 기동 노드의 상태를 자체적으로 인지하여, 전송 트래픽의 QoS(Quality of Service) 요구조건에 적합한 최적 경로 선정이 이루어져야 한다. 본 논문에서는 전술 네트워크 환경의 서비스 요구 조건 및 트래픽 특성을 정의하고, 이를 기반으로 라우팅 메트릭(Routing Metric)의 선별적인 선을 통해 최적경로를 산출함으로써 효율적 데이터 전송이 가능한 AODV-IMTC(Integrated Metrics and Traffic Characteristics)를 제안한다.

Novel Rate Control Scheme for Low Delay Video Coding of HEVC

  • Wu, Wei;Liu, Jiong;Feng, Lei
    • ETRI Journal
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    • 제38권1호
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    • pp.185-194
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    • 2016
  • In this paper, a novel rate control scheme for low delay video coding of High Efficiency Video Coding (HEVC) is proposed. The proposed scheme is developed by considering a new temporal prediction structure of HEVC. In the proposed scheme, the relationship between bit rate and quantization step is exploited firstly to formulate an accurate quadratic rate-quantization (R-Q) model. Secondly, a method of determining the quantization parameters (QPs) for the first frames within a group of pictures is proposed. Thirdly, an accurate frame-level bit allocation method is proposed for HEVC. Finally, based on the proposed R-Q model and the target bit allocated for the frame, the QPs are predicted for coding tree units by using rate-distortion (R-D) optimization. We compare our scheme against that of three other state-of-the-art rate control schemes. Experimental results show that the proposed rate control scheme can increase the Bjøntegaard delta peak signal-to-noise ratio by 0.65 dB and 0.09 dB on average compared with the JCTVC-I0094 and JCTVC-M0036 schemes, respectively, both of which have been implemented in an HEVC test model encoder; furthermore, the proposed scheme achieves a similar R-D performance to Wang's scheme, as well as obtaining the smallest bit rate mismatch error of all the schemes.

컴퓨터 통합 샌산을 위한 통신망의 성능관리 (Performance management of communication networks for computer integrated manufacturing Part ll: Decision making)

  • Lee, Suk
    • 한국정밀공학회지
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    • 제11권4호
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    • pp.138-147
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    • 1994
  • Performance management of computer networks is intended to improve a given network performance in order for more efficient information exchange between subsystems of an integrated large-scale system. Improtance of performance management is growing as many function of the large- scale system depend on the quality of communication services provided by the network. The role of performance management is to manipulate the adjustable protocol parameters on line so that the network can adapt itself to a dynamic environment. This can be divided into two subtasks : performance evaluation to find how changes in protocol parameters affect the network performance and decision making to detemine the magnitude and direction of parameter adjustment. This paper is the second part of the two papers focusing on conceptual design, development, and evaluation of performance management for token bus networks. This paper specifically deals with the task of decision making which utilizes the principles of stochastic optimization and learning automata. The developed algorithm can adjuxt four timer settings of a token bus protocol based on the result of performance evaluation. The overall performance management has been evaluated for its efficacy on a network testbed.

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Achievable Rate of Beamforming Dual-hop Multi-antenna Relay Network in the Presence of a Jammer

  • Feng, Guiguo;Guo, Wangmei;Gao, Jingliang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권8호
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    • pp.3789-3808
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    • 2017
  • This paper studies a multi-antenna wireless relay network in the presence of a jammer. In this network, the source node transmits signals to the destination node through a multi-antenna relay node which adopts the amplify-and-forward scheme, and the jammer attempts to inject additive signals on all antennas of the relay node. With the linear beamforming scheme at the relay node, this network can be modeled as an equivalent Gaussian arbitrarily varying channel (GAVC). Based on this observation, we deduce the mathematical closed-forms of the capacities for two special cases and the suboptimal achievable rate for the general case, respectively. To reduce complexity, we further propose an optimal structure of the beamforming matrix. In addition, we present a second order cone programming (SOCP)-based algorithm to efficiently compute the optimal beamforming matrix so as to maximize the transmission rate between the source and the destination when the perfect channel state information (CSI) is available. Our numerical simulations show significant improvements of our propose scheme over other baseline ones.

Research on Forecasting Framework for System Marginal Price based on Deep Recurrent Neural Networks and Statistical Analysis Models

  • Kim, Taehyun;Lee, Yoonjae;Hwangbo, Soonho
    • 청정기술
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    • 제28권2호
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    • pp.138-146
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    • 2022
  • Electricity has become a factor that dramatically affects the market economy. The day-ahead system marginal price determines electricity prices, and system marginal price forecasting is critical in maintaining energy management systems. There have been several studies using mathematics and machine learning models to forecast the system marginal price, but few studies have been conducted to develop, compare, and analyze various machine learning and deep learning models based on a data-driven framework. Therefore, in this study, different machine learning algorithms (i.e., autoregressive-based models such as the autoregressive integrated moving average model) and deep learning networks (i.e., recurrent neural network-based models such as the long short-term memory and gated recurrent unit model) are considered and integrated evaluation metrics including a forecasting test and information criteria are proposed to discern the optimal forecasting model. A case study of South Korea using long-term time-series system marginal price data from 2016 to 2021 was applied to the developed framework. The results of the study indicate that the autoregressive integrated moving average model (R-squared score: 0.97) and the gated recurrent unit model (R-squared score: 0.94) are appropriate for system marginal price forecasting. This study is expected to contribute significantly to energy management systems and the suggested framework can be explicitly applied for renewable energy networks.

CDMA2000, WiBro 및 WLAN 연동을 위한 계층적 네트워크 구조와 핸드오프 프레임워크 (A Hierarchical Network Architecture and Handoff framework for Integrating CDMA2000, WiBro and WLAN)

  • 공두경;조진성;김승희;김대식
    • 인터넷정보학회논문지
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    • 제7권5호
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    • pp.43-57
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    • 2006
  • 차세대 이동통신 시스템은 유 무선 네트워크의 통합과 더불어 이동성 및 고속 데이터 전송을 제공하는 형태로 진화할 전망이다. 따라서 이러한 상황에서 다양한 서비스를 제공하기 위해 이기종 무선망에 대한 연동 서비스에 대한 연구가 필요하다. 지금까지 연동망 구조에 대한 연구로서 하나의 핵심망을 기준으로 핵심망에서 네트워크들을 제어하는 형태의 연동망 구조가 연구되었고, 핵심망에서 서비스 통합 관리가 이루어져 다양한 서비스를 제공하게 된다. 하지만 핵심망에서 모든 이동성을 관리하기 때문에 네트워크 간 이동을 위한 버티컬 핸드오프 시에 핸드오프의 지연이 발생하며, 이전 통신한 네트워크로의 패킷은 손실된다. 이러한 문제를 해결하기 위해 본 논문에서는 CDMA2000, WiBro 및 WLAN 네트워크에 대해 그 특성에 따라 연동망 구조를 계층적인 구조로서 제안한다. 따라서 각 네트워크의 범위 특성에 따라 오버레이 구조로 구성되어 있으므로 핸드오프 지연 및 패킷 손실을 최소화 할 수 있다. 또한 제안된 연동망 구조상에서 동작하기 위한 핵심 기술로서 독립적으로 표준화된 프로토콜들을 적용하여 차세대 이동통신 시스템에 대한 연동 서비스의 프레임워크를 제시한다.

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