Cybersecurity & Tech Risks

Cybersecurity & Tech Risks in Engineering and Technology

Scope of Research

With the rapid adoption of Industry 4.0, IoT, AI-driven automation, and connected systems, the need for robust cybersecurity measures and risk management strategies has become essential. Cyber-physical security, data integrity, and AI-based threat detection are critical for ensuring the safety and resilience of modern industrial and technological infrastructures.

Inovato welcomes research that addresses emerging cybersecurity threats, risk assessment models, and advanced security frameworks for engineering, manufacturing, and critical infrastructure. This section provides a platform for researchers and professionals to explore cybersecurity solutions tailored for industrial, enterprise, and engineering applications.

Key Research Areas

We encourage submissions in the following areas:

1. Cyber-Physical Security & Industrial Cybersecurity

• Securing industrial control systems (ICS) and operational technology (OT) networks
• Cyber-physical risk mitigation strategies for Industry 4.0 and smart factories
• AI-driven cybersecurity solutions for connected manufacturing environments

2. AI & Machine Learning in Cybersecurity

• AI-powered threat detection and automated security response systems
• Machine learning for anomaly detection in network security
• AI-based fraud detection and predictive risk analysis in engineering systems

3. Blockchain & Secure Data Transactions

• Blockchain applications in cybersecurity and industrial data integrity
• Smart contracts and decentralized security frameworks
• Cryptographic techniques for securing engineering and industrial transactions

4. IoT & Cloud Security

• Cybersecurity risks in IoT-based industrial automation
• Secure cloud architectures for engineering and enterprise applications
• Zero-trust security models for cloud-based infrastructure

5. Cyber Risk Assessment & Digital Forensics

• Frameworks for assessing cybersecurity risks in industrial environments
• Digital forensics and incident response strategies for cyber threats
• Risk mitigation and compliance standards for industrial cybersecurity

6. Privacy & Data Protection in Engineering Systems

• AI-driven data privacy solutions for industrial and enterprise networks
• Privacy-preserving computing techniques in cybersecurity applications
• Regulatory and compliance challenges in cybersecurity for smart systems

7. Emerging Threats & Future Cybersecurity Challenges

• Quantum-resistant cryptographic protocols for future cybersecurity
• Security challenges in autonomous systems and connected infrastructure
• Ethical hacking and penetration testing for advanced cybersecurity research

Types of Research Papers Welcomed

Researchers are invited to submit original contributions in the following categories:

• Original Research Articles – Novel cybersecurity frameworks and risk mitigation strategies.
• Review Papers – Comprehensive studies on cybersecurity in engineering and technology.
• Case Studies – Application-based research on industrial cybersecurity solutions.
• Comparative Studies – Evaluations of cybersecurity models, blockchain frameworks, and AI-driven security solutions.
• Technical Reports – Reports on cybersecurity testing, vulnerability assessments, and forensic analysis.