Conceptual Model improving Encryption Strategies for Organizational Information Protection

• Author(s): Ugwu-Oju Ukamaka Mary; Okeke Obinna ThankGod; Nwankwo Constance Obiuto
• Paper ID: 1712546
• Page: 139-153
• Published Date: 31-08-2018
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 2 Issue 2 August-2018

Abstract

The rapid expansion of digital ecosystems, intensified cyber threats, and increasingly complex regulatory mandates have amplified the need for robust, adaptable, and intelligence-driven encryption strategies within modern organizations. Traditional encryption mechanisms, while foundational, are no longer sufficient to address evolving risks such as distributed cyberattacks, insider compromise, advanced persistent threats, and emerging quantum-enabled adversaries. This abstract presents a conceptual model designed to enhance organizational information protection by integrating advanced cryptographic techniques, dynamic encryption governance, and intelligent decision-support mechanisms. The model emphasizes a multi-layered approach combining post-quantum cryptography, homomorphic encryption, and attribute-based access control (ABAC) to ensure that sensitive data remains secure across storage, transmission, and processing environments. It also incorporates continuous key rotation protocols, automated cryptographic lifecycle management, and context-aware encryption policies capable of adapting to fluctuating risk conditions. A central component of the model is its alignment with zero-trust principles, ensuring that encryption becomes closely coupled with identity verification, device trust assessment, and micro-segmentation practices. Furthermore, the conceptual model introduces an intelligence layer that leverages machine learning to predict encryption-related vulnerabilities, optimize key distribution workflows, and detect anomalous cryptographic operations indicative of compromise. It is designed to support diverse infrastructures—including cloud-native systems, hybrid environments, and edge-based architectures—while maintaining regulatory conformity with global standards such as GDPR, ISO 27001, and NIST cryptographic guidelines. Overall, the model aims to advance encryption from a static technical control to a dynamic, integrated organizational capability. By combining next-generation cryptographic technologies with adaptive governance and intelligent automation, the proposed model enhances resilience, reduces data exposure risks, and supports secure digital transformation across complex enterprise environments.

Keywords

Encryption strategies, Post-quantum cryptography, Homomorphic encryption, Organizational information protection, Zero-trust security, Cryptographic governance, Adaptive cybersecurity, Machine learning, Data security, Digital transformation.

Citations

IRE Journals:
Ugwu-Oju Ukamaka Mary, Okeke Obinna ThankGod, Nwankwo Constance Obiuto "Conceptual Model improving Encryption Strategies for Organizational Information Protection" Iconic Research And Engineering Journals Volume 2 Issue 2 2018 Page 139-153

IEEE:
Ugwu-Oju Ukamaka Mary, Okeke Obinna ThankGod, Nwankwo Constance Obiuto "Conceptual Model improving Encryption Strategies for Organizational Information Protection" Iconic Research And Engineering Journals, 2(2)