A Method for Calculating Efficiency Indicators of Information Security Systems · Alnoor Digital Repository

Title: A Method for Calculating Efficiency Indicators of Information Security Systems
Abstract: Background: As information and communication
systems become more sophisticated and linked, there is an
increasing demand for adequate information security and
cybersecurity measures. The modern age necessitates a methodical
approach to evaluating and fortifying these systems against
emerging cyber threats.
Objective: This study provides a unique technique for
assessing the effectiveness of information security and
cybersecurity solutions. The technique tries to discover and
correct possible vulnerabilities by examining individual
indications, providing enterprises with a data-centric strategy to
enhance their cyber defenses.
Methods: The approach uses a large dataset from many firms
and industries. To illustrate critical security components, key
performance indicators (KPIs) such as incident response time,
threat detection rates, and vulnerability repair were chosen.
Advanced statistical approaches and machine learning algorithms
were used to evaluate the effectiveness of these systems against set
KPI criteria.
Results: The current study yields significant insights into the
strengths and limitations of various security techniques. By
evaluating specific indicators, opportunities for improvement were
found, allowing firms to focus their security operations more
effectively. The study validated the influence of system complexity
and security investment on overall system efficiency.
Conclusion: This article proposes a data-driven strategy to
improve the efficiency of information and cybersecurity systems,
providing companies with a road map for protecting their essential
assets and data in the face of an ever-changing cyber threat
scenario.
Scientific Type: غير معروف
Link: https://fruct.org/publications/volume-35/fruct35/
Journal volume: vol.35,No.1
Collaboration type: مشترك
Publish Date: April 26, 2024
Participated Universities (Publication): Alnoor University
Scopus status: In Scopus
Scopus index year: 2 024
Scopus quarter: 5
Scopus citation score: 0
Clarivate status: Not In Clarivate
Pub. Med. status: Not In PubMed
Author (Publication): مصطفى محمد جاسم محمد
Journal (Publication): PROCEEDING OF THE 35TH CONFERENCE OF FRUCT ASSOCIATION
Publisher (Publication): IEEE Computer Society
ISSN: 2305-7254
Country (Publication): Russian Federation
Country type: عالمية
College (Publication): College of Engineering
Departement (Publication): Department of AI engineering

Media: Academic paper