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Part 7. The Future of CDHA

Updated: Jun 27

As we move into a future where digital threats are constantly evolving, staying ahead of the curve is essential for maintaining robust cybersecurity. The Cross Domain Hybrid Application (CDHA) framework is designed to meet current security needs and to adapt and lead in emerging cybersecurity areas. 



Anticipating the Quantum Computing Revolution

 

One of the most significant emerging trends in cybersecurity is the rise of quantum computing. Quantum computers have the potential to solve complex problems much faster than classical computers, which could render current encryption methods ineffective, posing a significant risk to data security. 

While Post-Quantum Cryptography (PQC) integration hasn’t been implemented in CDHA yet, it’s a future consideration. PQC algorithms are designed to withstand potential threats from quantum computing and integrating them into CDHA would ensure its robustness against future advancements in quantum technology. 

The future of CDHA involves transitioning from traditional cryptographic methods like Elliptic Curve Diffie-Hellman (ECDH) and Elliptic Curve Digital Signature Algorithm (ECDSA) to more advanced algorithms such as Kyber and Dilithium. We are collaborating with Edinburgh Napier University on a research project to evaluate these new algorithms. This research will help us determine the best candidates to replace ECDH and ECDSA, ensuring that CDHA remains at the forefront of cryptographic security. 


Exploring Homomorphic Encryption 


We will be conducting research with leading scientists to explore the capabilities of homomorphic encryption. Once we fully understand its potential, we will determine how best to incorporate homomorphic encryption into CDHA, aiming to offer unprecedented levels of data security and privacy. 

 

The CDHA Framework is set to revolutionise the design and implementation of secure applications. By incorporating advanced cryptographic techniques like Post-Quantum Cryptography and homomorphic encryption, CDHA will significantly enhance the security foundation of applications. Furthermore, the framework's emphasis on improving interoperability ensures smooth integration across different security domains, while its "secure by design" approach ensures that security is ingrained at every stage of the application development process. This holistic approach will set a new standard for building robust, future-proof secure applications. 

 

Enhancing Security with Attribute-Based Encryption (ABE) 


The future of CDHA also involves Attribute-Based Encryption (ABE) which can be utilised for securely transferring data between different security domains. For example, when sending data from a high trust domain to a low trust domain, the data can be encrypted using ABE. Each user in the low trust domain would have attributes associated with their access rights, and the encrypted data would only be accessible to users whose attributes match the access policy defined for the data. 

These attributes can include: 

  • User Roles: e.g., "Manager", "Employee" 

  • Identifiers: e.g., email addresses, user IDs 

  • Location-Based Attributes: e.g., Country, Region 

  • Clearance Levels: e.g., "Top Secret", "Confidential" 


This ensures that sensitive information remains protected during transfer and is only accessible to authorised users within the low trust domain. ABE focuses on providing access control capabilities to encrypted data, and the choice of encryption algorithm may depend on factors such as performance, security, and compatibility with existing systems. 


Advance Release Controls using the Artificial Intelligence (AI) and Machine Learning (ML) Integration 


In CDHA, export controls and release mechanisms refer to the procedures and protocols implemented within the framework to manage the transfer of data and information across different security domains. This includes ensuring that data is appropriately classified, encrypted, and authorised for transfer between domains while adhering to relevant security policies and regulations.  

Export controls and release mechanisms in CDHA aim to prevent unauthorised access to sensitive information, maintain data integrity, and comply with legal and regulatory requirements related to data transfer and security. Looking ahead, Acubed.IT will explore integrating Artificial Intelligence (AI) and Machine Learning (ML) into these mechanisms of CDHA to enhance their efficiency and effectiveness in safeguarding data and mitigating potential risks. 


Join Us in Shaping the Future 


CDHA invites you to join in developing innovative solutions for the future of cybersecurity. Stay connected and stay informed about CDHA and cybersecurity developments. 


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Get real-time updates and insights into CDHA’s work and industry trends. Together, let’s navigate the digital world’s complexities and create a safer environment for all. 


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