Assessment of the Impact of the Global Cybersecurity Index (GCI) of the International Telecommunication Union (ITU) on Improving the Cybersecurity Posture of Developing Countries (A Pakistani Perspective) / (Record no. 615841)
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| 000 -LEADER | |
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| fixed length control field | 03261nam a22001697a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | NUST |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 005.8,ALI |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Ali, Sardar Muhammad |
| 9 (RLIN) | 132538 |
| 245 ## - TITLE STATEMENT | |
| Title | Assessment of the Impact of the Global Cybersecurity Index (GCI) of the International Telecommunication Union (ITU) on Improving the Cybersecurity Posture of Developing Countries (A Pakistani Perspective) / |
| Statement of responsibility, etc. | Sardar Muhammad Ali |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Rawalpindi, |
| Name of publisher, distributor, etc. | MCS (NUST), |
| Date of publication, distribution, etc. | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xviii, 203 p |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Cybersecurity has become a critical priority as organizations increasingly depend on digital infrastructure. Traditional compliance approaches often fall short in addressing evolving threats, highlighting the need for intelligent and adaptive mechanisms to strengthen governance and resilience. Organizations encounter persistent challenges in aligning with multiple international and national cybersecurity standards. Current com pliance efforts are fragmented, costly, and lack adaptability, limiting their effectiveness in improving overall posture. In addition, existing methods fail to provide systematic and explainable guidance, creating governance and resilience gaps in developing countries. The proposed study presents an automated, machine learning–based recom mender framework that systematically suggests cybersecurity standards, audits, and compliance steps according to organizational maturity levels. The framework integrates six global standards (ISO/IEC 27001:2022, CIS, NIST, SCAP, NERC CIP, ISA/IEC 62443-4-2) and Three national cybersecurity standards were adopted for comparative analysis: Saudi Arabia follows the National Cybersecurity Authority (NCA) under the Essential Cybersecurity Controls (ECC) framework; Pakistan implements the National Cyber Security Policy (NCSP 2021) and Critical Telecom Data and Infrastructure Security Regulations (CTDISR) frameworks; while the United Arab Emirates (UAE) applies the Information Assurance (IA) framework under the National Cybersecurity Strategy (NCS). The proposed framework applies data preprocessing, TF-IDF, Recursive Feature Elimination (RFE), and a Content-Based Filtering (CBF) model with a feedback xvii loop to generate tailored compliance recommendations. The proposed framework was validated across three organizational maturity scenariosAd-hoc, Managed, and Adaptive. Findings indicated that the UAE standard recommended 158 controls at the Ad-hoc level, while the KSA standard dominated at the Managed level. Among the classifiers tested (Random Forest, K-Nearest Neighbor, and Support Vector Machine), Random Forest achieved the best performance with 81% accuracy and an ROC-AUC score of 0.98. The proposed framework provides a scalable and adaptive mechanism for compliance, enabling continuous monitoring of organizational maturity and alignment with international standards. By enhancing governance and resilience, it supports national cybersecurity capacity and contributes to improving Global Cybersecurity Index (GCI) rankings, offering both theoretical advancement and practical value for developing countries. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | PhD Information Security Thesis |
| 9 (RLIN) | 132793 |
| 651 ## - SUBJECT ADDED ENTRY--GEOGRAPHIC NAME | |
| Geographic name | PhD IS Thesis |
| 9 (RLIN) | 132794 |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Supervised by Dr. Abdul Razzaq |
| 9 (RLIN) | 132799 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | |
| Koha item type | Thesis |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Permanent Location | Current Location | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type | Public note |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Military College of Signals (MCS) | Military College of Signals (MCS) | Thesis | 01/17/2026 | 005.8,ALI | MCSPhD IS-16 | 01/17/2026 | 01/17/2026 | Thesis | Almirah No.68, Shelf No.5 |