A Support Vector Machines Security Assessment Method Based on Group Decision-Marking for Electric Power Information System

Cheng, Xiaorong; Yan, Wei; Geng, Xin

doi:10.1109/ias.2009.234

Cited by 6 publications

(3 citation statements)

References 2 publications

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“…Presented for the first time in 1995, 71 support vector machine (SVM) is used in References 13,20,72‐74 for power system SSA. This algorithm has been widely used for the purpose of classification and regression analysis.…”

Section: Categorization Based On Power System Implementationmentioning

confidence: 99%

Static security assessment of power systems: A review

Gholami

Sanjari

Safari

et al. 2020

Int Trans Electr Energ Syst

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Summary The security assessment, based on which determinant decisions should be made for power system design, control and operation, is a challenging issue for utility engineers and network designers, especially in large‐scale power systems. Numerous methods have been proposed and implemented for this purpose, and a variety of indices have been suggested to address the static security condition of power networks. Large‐scale datasets of measurements in continually expanding power systems necessitate advanced knowledge in big data analytics. In this review paper, numerical techniques and machine learning‐based methods are reviewed as two main categories for static security assessment in power systems based on principal features of static security status classification such as type of classifier, the static security index, and feature selection and extraction methods. This paper can be used as a useful reference for static security assessment of power systems.

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Section: Categorization Based On Power System Implementationmentioning

confidence: 99%

Static security assessment of power systems: A review

Gholami

Sanjari

Safari

et al. 2020

Int Trans Electr Energ Syst

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“…In [20], the authors propose a Medical Diagnosis DSS with an extension to the SVM algorithm to classify four types of acid-base disturbance. Besides clinical cases, SVMs have also been used in DSSs for hard landing of civil aircrafts [21], electric power information systems [22], etc. While all these works rely on the classification ability of SVMs, in our paper we will present a DSS for drug administration using SVMs for regression [23] to predict the drug concentration in the blood and then use it to compute an appropriate dose and a dose administration interval for a chosen patient..…”

Section: B Support Vector Machine Based Decision Support Systemmentioning

confidence: 99%

A Drug Administration Decision Support System

You

Simalatsar

Widmer

et al. 2012

2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops

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Abstract-Drug delivery is one of the most common clinical routines in hospitals, and is critical to patients' health and recovery. It includes a decision making process in which a medical doctor decides the amount (dose) and frequency (dose interval) on the basis of a set of available patients' feature data and the doctor's clinical experience (a priori adaptation). This process can be computerized in order to make the prescription procedure in a fast, objective, inexpensive, non-invasive and accurate way. This paper proposes a Drug Administration Decision Support System (DADSS) to help clinicians/patients with the initial dose computing. The system is based on a Support Vector Machine (SVM) algorithm for estimation of the potential drug concentration in the blood of a patient, from which a best combination of dose and dose interval is selected at the level of a DSS. The addition of the RANdom SAmple Consensus (RANSAC) technique enhances the prediction accuracy by selecting inliers for SVM modeling. Experiments are performed for the drug imatinib case study which shows more than 40% improvement in the prediction accuracy compared with previous works. An important extension to the patient features' data is also proposed in this paper.

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“…In Ref. [7], the SVM security method based group decision-making for electric power information system was proposed. The experiments showed that the method could both forecast the current risk level of the electric power information system with a high accuracy rate and reduce the influence of the subjective factors.…”

Section: Introductionmentioning

confidence: 99%

Research of electric power information security protection on cloud security

Wang¹,

Deng²,

Lin³

et al. 2010

2010 International Conference on Power System Technology

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Ahstract--Informatization is an important feature of smart grid. With the construction of smart grid and the constant depth development of electric power information, the information networks of electric power have been continued to invade by all kinds of network threats. Traditional information security protection system for electric power had been unable to meet the security threats demand of ever changing and growing.Moreover, the cost of electrical safe operation was increased.Meanwhile, with the further application of electric power information engineering, operation capacity of electric power is required to be fully improved so that safe and stable operation is essential to electric power information system. Cloud security is service form that cloud computing provides for users. In view of the advantages of cloud computing and cloud security, architecture of electric power information security protection based on cloud security (AEPISP-CS) is put forward which combines with the current power information security status.Meanwhile, anti-virus system, spam mail filtering, threat detection based on cloud security are described in detail.Index Terms--c1oud computing; cloud security; electric power information security; sender reputation; smart grid; spam mail filtering; threat detection 1. INTRODUCTIONPower system information security has been a threat to power system security, stability, economy and high quality to run. Meanwhile, strong and smart grid implementation process of China was affected. Power information security has become an important part of electrical enterprise production, operation and management. However, the power information security had the following defects: Information security awareness was low, unified information security management practices was deficient, information security architecture and construction was imperfect , and information security monitoring and risk assessment mechanism was unsound.Therefore, how to make electric power information network systems from hackers and viruses invade, and how to protect 978-1-4244-5940-7/1 01$26.00©2010 IEEE data transmission security, reliability had become an important guarantee of safe and stable operation for strong and smart grid. Research of power system information security, development of corresponding applications, and draft of information systems security strategy of information system recovery prevention when subjected to external attack were the current the important items of information. In order to protect the electric power information network security, the researchers put forward a number of solutions to solve the electric power information network security risks from different angles. In the literature [I], the authors developed the architecture of trusted security from the security development and management, security portals, middleware technology, security infrastructure and information exchange [1]. In Ref. [2], the authors described the status of electric power information security of China, the forms of information se...

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A Support Vector Machines Security Assessment Method Based on Group Decision-Marking for Electric Power Information System

Cited by 6 publications

References 2 publications

Static security assessment of power systems: A review

Static security assessment of power systems: A review

A Drug Administration Decision Support System

Research of electric power information security protection on cloud security

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