SOFTWARE SECURITY. INNOVATIVE DECISION-MAKING METHODS FOR EFFECTIVE SUPPORT

ISBN: 978-83-68020-82-3

stron: 106

format: B5

oprawa: miękka

rok wydania: 2024

The monograph research goal is to the decision-making improve on software security accuracy based on the synthesis of a mathematical models complex and the supporting decision-making on software security method. 

SPIS TREŚCI

INTRODUCTION
SECTION 1
ANALYSIS AND COMPARATIVE RESEARCHES OF METHODS
FOR 1MPROVING THE SOFTWARE SECURITY
1.1. The reąuirements and security risks analysis of computer systems software     
1.2. The software vulnerability detection methods analysis
1.3. The models and methods analysis for software security decision support
1.4. Research problem statement
The section 1 conclusions
SECTION 2
DEVELOPMENT A MATHEMATICAL MODEL FOR THE SOFTWARE
SECURITY TESTING FIRST STAGE
2.1. Introduction and literature review and problem statement
2.2. The results of building a mathematical model
2.2.1.  Software vulnerability identification process model  
2.2.2.  Improved security compliance algorithm
2.3. GERT-model of the first phase of identifying software vulnerabilities
2.3.1.  Studying the probability density function for different distribution
laws
2.3.2. Developing a GERT-network scheme of the process to prepare for security testing
2.3.3. GERT-network of source code verification process for cryptographic
and other ways to protect data 
2-4. GERT-model of the security testing process preparation
The section 2 conclusions
SECTION 3
DEVELOPMENT OF A FUZZY GERT MODEL FOR INVESTIGATING COMMON SOFTWARE VULNERABILITIES  
3.1. Introduction and problem statement
3.2. Model for iiwestigating software vulnerabilities
3.2.1. The scheme of software vulnerability research
3.2.2. A fuzzy GERT model for investigating software vulnerabilities
3.2.3. The advanced algorithm of equivalent transformations of GERT-network  
3.3. The improved fuzzy GERT model for iiwestigating software vulnerability
3.3.1. Simplified equivalent fuzzy GERT network for the process of investigating software vulnerability
3.3.2. Studying the improved fuzzy GERT model
3.4. Discussion of results of studying the improved fuzzy GERT-model
The section 3 conclusions
SECTION 4
THE SOFTWARE SECURITY DECISION SUPPORT METHOD DEVELOPMENT 
4.1. Problem statement and literaturę analysis
4.2.  Scheme of a method to support decision making on software security
4.3. Model for the formation of input data vectors
4.4. Development of a neural network architecture for solving the problem of supporting decision making on software security 
4.5.  Improvement of the artificial neural network training method 
4.6. Investigation of the effectiveness of the decision support method for software security
The section 4 conclusions
CONCLUSIONS
REFERENCE LIST