scholarly journals Healthcare Device Security Assessment through Computational Methodology

2022 ◽  
Vol 41 (2) ◽  
pp. 811-828
Author(s):  
Masood Ahmad ◽  
Jehad F. Al-Amri ◽  
Ahmad F. Subahi ◽  
Sabita Khatri ◽  
Adil Hussain Seh ◽  
...  
Keyword(s):  
Security Assessment ◽  
Computational Methodology

Food Security Doctrine – What Has Changed in 2020

2020 ◽  
pp. 7-10
Author(s):  
T.M. Yarkova ◽  
Keyword(s):  
Food Security ◽  
Public Administration ◽  
Russian Federation ◽  
Structural Changes ◽  
Food Policy ◽  
Assessment System ◽  
Security Assessment ◽  
Social Bias ◽  
The Russian Federation ◽  
And Control

This article presents an analysis of the changes that have occurred in one of the most important state documents - the Food Security Doctrine of the Russian Federation. Criticism of this document can be traced in many scientific works: some experts attribute the Doctrine only to a program document, while others expect it to be implement and control, i.e. much more in practice. An assessment of the significance and essence of such a document as the doctrine as a whole made it possible to determine its place both in the system of public administration and the degree of its significance in the regulatory field. Based on the findings, an attempt was made to analyze changes in the new Doctrine of Food Security of the Russian Federation, approved by Decree of the President of Russia No. 20 of 01.21.2020. Structural changes in the new Doctrine are highlighted, as well as a critical assessment of the features of all its main sections. The greatest changes were revealed in the state food security assessment system, and it was also determined that the new version of the Doctrine has a greater social bias. If there are positive changes, some omissions of the most important areas of agri-food policy have been identified, which, despite their absence or insufficient reflection in the Doctrine, can be presented and decided at the level of subsequent documents, but only if the Doctrine in practice will be a fundamental document of public administration and regulatory framework.

Steady-state Security Assessment Based on K-Means Clustering Algorithm and Phasor Measurement Units

2020 ◽  
Vol 13 (4) ◽  
pp. 559-570
Author(s):  
Bassam A. Hemade ◽  
Hamed A. Ibrahim ◽  
Hossam E.A. Talaat
Keyword(s):  
Steady State ◽  
Clustering Algorithm ◽  
System Security ◽  
Phasor Measurement Units ◽  
Operating Conditions ◽  
Security Assessment ◽  
State Security ◽  
Phasor Measurement ◽  
Measurement Units ◽  
Silhouette Analysis

Background: The security assessment plays a crucial role in the operation of the modern interconnected power system network. Methods: Hence, this paper addresses the application of k-means clustering algorithm equipped with Principal Component Analysis (PCA) and silhouette analysis for the classification of system security states. The proposed technique works on three principal axes; the first stage involves contingency quantification based on developed insecurity indices, the second stage includes dataset preparation to enhance the overall performance of the proposed method using PCA and silhouette analysis, and finally the application of the clustering algorithm over data. Results: The proposed composite insecurity index uses available synchronized measurements from Phasor Measurement Units (PMUs) to assess the development of cascading outages. Considering different operational scenarios and multiple levels of contingencies (up to N-3), Fast Decoupled Power Flow (FDPF) have been used for contingency replications. The developed technique applied to IEEE 14-bus and 57-bus standard test system for steady-state security evaluation. Conclusion: The obtained results ensure the robustness and effectiveness of the established procedure in the assessment of the system security irrespective of the network size or operating conditions.

A Systematic Review and Catalog of Security Metric during the Secure Software Development Life Cycle

2020 ◽  
Vol 13 ◽  
Author(s):  
Sampada G.C ◽  
Tende Ivo Sake ◽  
Amrita
Keyword(s):  
Systematic Review ◽  
Life Cycle ◽  
Software Development ◽  
Software Security ◽  
Security Assessment ◽  
Security Metrics ◽  
Development Life Cycle ◽  
Development Processes ◽  
Secure Software Development ◽  
Software Development Life Cycle

Background: With the advancement in the field of software development, software poses threats and risks to customers’ data and privacy. Most of these threats are persistent because security is mostly considered as a feature or a non-functional requirement, not taken into account during the software development life cycle (SDLC). Introduction: In order to evaluate the security performance of a software system, it is necessary to integrate the security metrics during the SDLC. The appropriate security metrics adopted for each phase of SDLC aids in defining the security goals and objectives of the software as well as quantify the security in the software. Methods: This paper presents systematic review and catalog of security metrics that can be adopted during the distinguishable phases of SDLC, security metrics for vulnerability and risk assessment reported in the literature for secure development of software. The practices of these metrics enable software security experts to improve the security characteristics of the software being developed. The critical analysis of security metrics of each phase and their comparison are also discussed. Results: Security metrics obtained during the development processes help to improve the confidentiality, integrity, and availability of software. Hence, it is imperative to consider security during the development of the software, which can be done with the use of software security metrics. Conclusion: This paper reviews the various security metrics that are meditated in the copious phases during the progression of the SDLC in order to provide researchers and practitioners with substantial knowledge for adaptation and further security assessment.

scholarly journals Cobot attack: a security assessment exemplified by a specific collaborative robot

2021 ◽  
Vol 54 ◽  
pp. 191-196
Author(s):  
Siegfried Hollerer ◽  
Clara Fischer ◽  
Bernhard Brenner ◽  
Maximilian Papa ◽  
Sebastian Schlund ◽  
...  
Keyword(s):  
Security Assessment ◽  
Collaborative Robot

A Confidence-Aware Machine Learning Framework for Dynamic Security Assessment

2021 ◽  
pp. 1-1
Author(s):  
Tingqi Zhang ◽  
Mingyang Sun ◽  
Jochen Lorenz Cremer ◽  
Ning Zhang ◽  
Goran Strbac ◽  
...  
Keyword(s):  
Machine Learning ◽  
Security Assessment ◽  
Learning Framework ◽  
Dynamic Security ◽  
Dynamic Security Assessment
Sign in / Sign up

Export Citation Format

Share Document