• Title/Summary/Keyword: control data

Search Result 25,035, Processing Time 0.074 seconds

Defending Non-control-data Attacks using Influence Domain Monitoring

  • Zhang, Guimin;Li, Qingbao;Chen, Zhifeng;Zhang, Ping
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.12 no.8
    • /
    • pp.3888-3910
    • /
    • 2018
  • As an increasing number of defense methods against control-data attacks are deployed in practice, control-data attacks have become challenging, and non-control-data attacks are on the rise. However, defense methods against non-control-data attacks are still deficient even though these attacks can produce damage as significant as that of control-data attacks. We present a method to defend against non-control-data attacks using influence domain monitoring (IDM). A definition of the data influence domain is first proposed to describe the characteristics of a variable during its life cycle. IDM extracts security-critical non-control data from the target program and then instruments the target for monitoring these variables' influence domains to ensure that corrupted variables will not be used as the attackers intend. Therefore, attackers may be able to modify the value of one security-critical variable by exploiting certain memory corruption vulnerabilities, but they will be prevented from using the variable for nefarious purposes. We evaluate a prototype implementation of IDM and use the experimental results to show that this method can defend against most known non-control-data attacks while imposing a moderate amount of performance overhead.

Study on Data Control System Design Method with Complex Data-Algorithm Data Processing (복합적 자료-알고리즘 자료처리 방식을 적용한 자료처리 시스템 설계 방안 연구)

  • Kim, Min Wook;Park, Yeon Gu;Yi, Jonghyuk;Lee, Jeong-Deok
    • Journal of Satellite, Information and Communications
    • /
    • v.10 no.3
    • /
    • pp.11-15
    • /
    • 2015
  • In this study, we present the architecture design of data control system in water hazard information platform with analyzing the complexity of the data processing. Generally, data control systems in data collection and analysis platforms base on the constant data-algorithm data processing meaning that data processing between data and algorithm is fixed. But the number of data processing in data control system is rapidly increasing because of increasing of complexity of system. To hold down the number of data processing, dynamic data-algorithm data processing is able to be applied to data control system. After comparison each data-algorithm data processing method, we suggest design method of the data control system optimizing water hazard information platform.

A Design and Implementation of Real-time Video frame data Processing control for Block Matching Algorithm (고속블럭정합 알고리즘을 위한 실시간 영상프레임 데이터 처리 제어 방법의 설계 및 구현)

  • 이강환;황호정
    • Proceedings of the IEEK Conference
    • /
    • 2001.06b
    • /
    • pp.373-376
    • /
    • 2001
  • This paper has been studied a real-time video frame data processing control that used the linear systolic array for motion estimation. The proposed data control processing provides to the input data into the multiple processor array unit(MPAU) from search area and reference block data. The proposed data control architecture has based on two slice band for input data processing. And it has no required external control logic blocks for input data as like reference block or search area data.

  • PDF

Scheduling algirithm of data sampling times in the real-time distributed control systems

  • Hong, Seung-Ho
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 1992.10b
    • /
    • pp.112-117
    • /
    • 1992
  • The Real-time Distributed Control Systems(RDCS) consist of several distributed control processes which share a network medium to exchange their data. Performance of feedback control loops in the RDCS is subject to the network-induced delays from sensor to controller and from controller to actuator. The network-induced delays are directly dependent upon the data sampling times of the control components which share a network medium. In this study, a scheduling algorithm of determining data sampling times is developed using the window concept, where the sampling data from the control components dynamically share a limited number of windows.

  • PDF

Improvement of Control Performance by Data Fusion of Sensors

  • Na, Seung-You;Shin, Dae-Jung
    • International Journal of Fuzzy Logic and Intelligent Systems
    • /
    • v.4 no.1
    • /
    • pp.63-69
    • /
    • 2004
  • In this paper, we propose a general framework for sensor data fusion applied to control systems. Since many kinds of disturbances are introduced to a control system, it is necessary to rely on multisensor data fusion to improve control performance in spite of the disturbances. Multisensor data fusion for a control system is considered a sequence of making decisions for a combination of sensor data to make a proper control input in uncertain conditions of disturbance effects on sensors. The proposed method is applied to a typical control system of a flexible link system in which reduction of oscillation is obtained using a photo sensor at the tip of the link. But the control performance depends heavily on the environmental light conditions. To overcome the light disturbance difficulties, an accelerometer is used in addition to the existing photo sensor. Improvement of control performance is possible by utilizing multisensor data fusion for various output responses to show the feasibility of the proposed method in this paper.

Data-based Control for Linear Time-invariant Discrete-time Systems

  • Park, U. S.;Ikeda, M.
    • 제어로봇시스템학회:학술대회논문집
    • /
    • 2004.08a
    • /
    • pp.1993-1998
    • /
    • 2004
  • This paper proposes a new framework for control system design, called the data-based control approach or data space approach, in which the input and output data of a dynamical system is directly and solely used to analyze or design a control system without the employment of any mathematical models like transfer functions, state space equations, and kernel representations. Since, in this approach, most of the analysis and design processes are carried out in the domain of the data space, we introduce some notions of geometrical objects, e.g., the openloop and closed-loop data spaces, which serve as the system representations in the data space. In addition, we establish a relationship between the open-loop and closed-loop data spaces that the closed-loop data space is contained in the open-loop data space as one of its subspaces. By using this relationship, we can derive the data-based stabilization condition for a linear time-invariant discrete-time system, which leads to a linear matrix inequality with a rank constraint.

  • PDF

Network Type Distributed Control System with Considering Data Collision (데이터 충돌을 고려한 네트워크형 분산 제어 시스템)

  • Choi, Goon-Ho
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.29 no.1
    • /
    • pp.113-120
    • /
    • 2015
  • Network type distributed control system uses a communication line which is named the BUS to exchange a data among the sub-systems. Usually, on the bus, only one data must be exited at one time, so the control algorithm to prevent collision or to manage a priority of data is important. Including CAN Protocol, many kind of FieldBus which are used for distributed control system, prevent data collision by controlling transmission time. But, a system which have to make a control signal or get a data from a sensor at fixed time will be met a problem when it is composed by using a network type distributed control structure. In this paper, some of these cases will be discussed and solutions be proposed for preventing a data collision. Also, using Arago Disk System which have a structure for inner loop control, the validity of the proposed methods will be verified.

Analysis for Frame Error Rate of a Data Transmission Protocol between CTC and SCADA (CTC와 SCADA간 정보전송 프로토콜에 대한 프레임 에러율 분석)

  • 강문호;이재호;황종규;박영수
    • Journal of the Korean Society for Railway
    • /
    • v.7 no.4
    • /
    • pp.296-301
    • /
    • 2004
  • This paper addresses an analysis for a railway data transmission protocol-Ethernet based data transmission between the CTC(Centralized Traffic Control System) and the SCADA(Supervisory Control and Data Acquisition) system. Fame error rates of the data transmissions are calculated and compared for the two cases that the CTC/SCADA has an extra data transmission error control(CRCI6) besides the inherent error control of the Ethernet(CRC32), and that the CTC/SCADA has no extra data transmission error control. With simulation results it has been verified that the extra data transmission error control(CRC16) contributes to lowering the frame error rate.

A Study on Data Remote Control of DNC Network (DNC Network을 통한 Data Remote Control에 관한 연구)

  • 박영식;김기혁;오창주
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 1999.11a
    • /
    • pp.395-400
    • /
    • 1999
  • At present, some evolutional system has been used to promote the efficiency of the DNC(Direct Numerical Control) Controller. However, these are many inconvenience to this operator because it lacks harmony in interaction between the computer and the NC(Numerical Control). Also, there are some controversial poults when data error occurs at the Data Input/output. According1y, this thesis explores a new Data Remote Control System. In this study, the NC Controller of the DNC network has to Bet full data by removing data error in this system. In this system, the main merits are easy manufacturing and the convenience of Data Input/output. That is, remote control of the NC machine tool is possible without mutual interaction between the computer and itself.

  • PDF

AUTOMATED DATA COLLECTION TECHNOLOGY APPLICATIONS IN CONSTRUCTION

  • Ronie Navon
    • International conference on construction engineering and project management
    • /
    • 2009.05a
    • /
    • pp.27-29
    • /
    • 2009
  • Real-time control of on-site construction, based on high quality data, is essential to identify discrepancies between actual and planned performances. Additionally, real-time control enables timely corrective measures to be taken when needed to reduce the damages caused by the discrepancies. The focus of the presentation will be on our work, which uses automated data technologies to collect data needed for real time control.

  • PDF