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Hybrid Bayesian Network Method for Predicting Intrusion

Wang Liangmin, Ma Jianfeng

Strategic Study of CAE 2008, Volume 10, Issue 8, Pages 87-96

Abstract:

To solve the open problem of predicting intrusion in Reactive IntrusionFirstly, an intrusion model is presented, which pays its emphasis on the influence of the intrusion uponthe system and describes the intrusion as the state transition process of the attackers' capabilityThe intrusion model is appropriate to trig the reactive intrusion tolerance system.In the end, the efficiency of the intrusion model and hybrid Bayesian network in predicting intrusion

Keywords： intrusion tolerance alert correlation intrusion model intrusion prediction

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Hazard and vulnerability evaluation of water distribution system in cases of contamination intrusion

Kunlun XIN, Tao TAO, Yong WANG, Suiqing LIU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 6, Pages 839-848 doi: 10.1007/s11783-012-0409-8

Abstract: In this paper, it proposed an index system for hazard and vulnerability evaluations of water distribution networks, based on the simulation of contamination events caused by pollutant injections at different junctions. It attempted to answer the following two questions in the case of contamination events: 1) Which are the most hazardous junctions? 2) Which are the most vulnerable junctions? With EPANET toolkit, it simulated the propagation of the contaminant, and calculated the peak concentration of the contaminant and mass delivered at different nodes. According to types of consumers, different weights were assigned to the consumer nodes for assessing the influence of the contaminant on the consumers. Using the method proposed herein, both the hazard index and vulnerability index were calculated for each node in the pipe network. The presented method was therefore applied to the water network of the city of Zhenjiang, which contains two water plants, two booster pump stations with storage tanks. In conclusion, the response time, the relationships between the peak concentration of contaminant and the total absorption are the most important factors in hazard and vulnerability evaluation of the water distribution network.

Keywords： water distribution network hazard vulnerability contaminant accident

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Detection and localization of cyber attacks on water treatment systems: an entropy-based approach Research Article

Ke LIU, Mufeng WANG, Rongkuan MA, Zhenyong ZHANG, Qiang WEI,bendawang@gmail.com,csewmf@zju.edu.cn,rongkuan233@gmail.com,zhangzhenyong@zju.edu.cn,funnywei@163.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 4, Pages 587-603 doi: 10.1631/FITEE.2000546

Abstract: the varied WTS operating conditions, there is a high false-positive rate with a static threshold for detectionunder two attack scenarios with a total of 36 attacks, showing that the proposed methods achieved a detection

Keywords： Industrial cyber-physical system Water treatment system Intrusion detection Abnormal state Detection

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Theoretical system for (large) deposit formed by smaller intrusion

Tang Zhongli,Jiao Jiangang and Yan Haiqing

Strategic Study of CAE 2015, Volume 17, Issue 2, Pages 4-18

Abstract:

The idea that most of the lager deposits were formed by smaller intrusion was firstly proposed onsummarizing the conception， connotation and category of the theory for large deposits formed by smaller intrusionThrough many studies on the ore genesis， we developed the idea of the large deposit formed by smaller intrusionthe deposit formed by intermediate-acidic magma， which is presented as mineralization at the head of intrusion(mineralization at the head of gas， liquid， mineral， fluid)， and mineralization in the front of intrusion

Keywords： small intrusions forming large deposits；connotation；category；characteristics；metallogenic model

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Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Frontiers in Energy 2019, Volume 13, Issue 3, Pages 522-538 doi: 10.1007/s11708-018-0562-2

Abstract: This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square

Keywords： thermostats perceptions beliefs signal detection theory (SDT) fuzzy signal detection theory (FSDT) chi-square

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Advances in airborne microorganisms detection using biosensors: A critical review

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-021-1420-8

Abstract: In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be

Keywords： Biosensor Airborne microorganisms Microbiological detection technology

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Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3, Pages 448-464 doi: 10.1007/s11705-017-1611-9

Abstract: Development of novel detection methods for perchlorate with the potential for field use has been an urgentperchlorate in water and other media with an emphasis on the development of SERS substrates for perchlorate detection

Keywords： perchlorate SERS detection substrate modification nanostructure

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A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1472-9

Abstract:

• A spectral machine learning approach is proposed for predicting mixed antibiotic.

Keywords： Antibiotic contamination Spectral detection Machine learning

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Development of Pulsed Radiation Detection Technology

Ouyang Xiaoping

Strategic Study of CAE 2008, Volume 10, Issue 4, Pages 44-55

Abstract: Pulse radiation detection has found its various applications in scientific researches, including nuclearThese diagnostic techniques and their relative detection systems, the design principle, the parameters

Keywords： fission reaction fusion reaction pulse radiation detection detecting system neutron detection gamma-raydetection

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Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1, Pages 77-82 doi: 10.1007/s11465-009-0013-1

Abstract: An edge detection method for the measurement of steel plate’s thermal expansion is proposed in this paperFirst, images are picked up by an imaging system; a method of regional edge detection based on grayscales

Keywords： thermal expansion image measurement edge detection image calibration

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Machine vision-based automatic fruit quality detection and grading

Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532

Abstract:

● A machine vision-based prototype system was developed for fruit grading.

Keywords： Computer and machine vision convolution neural network deep learning defective fruit detection fruit

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Experimental and numerical study on microcrack detection using contact nonlinear acoustics

Xiaojia CHEN, Yuanlin WANG

Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2, Pages 137-141 doi: 10.1007/s11709-009-0028-z

Abstract: This paper introduces a non-classical nonlinear acoustic theory for microcrack detection in materialsconcentrates on the experimental and numerical verification of the effectivity of contact nonlinear acoustic detection

Keywords： microcrack detection contact nonlinearity numerical analysis

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Digital image correlation-based structural state detection through deep learning

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1, Pages 45-56 doi: 10.1007/s11709-021-0777-x

Abstract: CNN can extract the structural state information from the vibration signals and classify them; 2) the detection

Keywords： structural state detection deep learning digital image correlation vibration signal steel frame

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Damage detection in beam-like structures using static shear energy redistribution

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12, Pages 1552-1564 doi: 10.1007/s11709-022-0903-4

Abstract: Another advantage of the proposed approach is that damage detection can be performed without establishing

Keywords： damage detection beam structure strain energy static displacement variation energy damage index

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Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5, Pages 732-744 doi: 10.1007/s11709-023-0965-y

Abstract: The proposed method addresses the low accuracy of tunnel crack segmentation and the slow detection speed

Keywords： tunnel engineering crack segmentation fast detection DeepLabv3+ feature fusion attention mechanism

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Title Author Date Type Operation

Hybrid Bayesian Network Method for Predicting Intrusion

Wang Liangmin, Ma Jianfeng

Journal Article

Hazard and vulnerability evaluation of water distribution system in cases of contamination intrusion

Kunlun XIN, Tao TAO, Yong WANG, Suiqing LIU

Journal Article

Detection and localization of cyber attacks on water treatment systems: an entropy-based approach

Ke LIU, Mufeng WANG, Rongkuan MA, Zhenyong ZHANG, Qiang WEI,bendawang@gmail.com,csewmf@zju.edu.cn,rongkuan233@gmail.com,zhangzhenyong@zju.edu.cn,funnywei@163.com

Journal Article

Theoretical system for (large) deposit formed by smaller intrusion

Tang Zhongli,Jiao Jiangang and Yan Haiqing

Journal Article

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

Journal Article

Advances in airborne microorganisms detection using biosensors: A critical review

Journal Article

Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

Journal Article

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

Journal Article

Development of Pulsed Radiation Detection Technology

Ouyang Xiaoping

Journal Article