Call for Papers: LCICS-26 All Abstracts, Reviews, short articles, Full articles, Posters are welcomed related with any of the following research fields: 1. Independent Core Topics These represent the foundational pillars of each domain before they are integrated into a single solution. A. Cybersecurity (The Shield) Cryptography: Symmetric/asymmetric encryption, hashing, and digital signatures. Network Security: Firewalls, VPNs, and Intrusion Detection/Prevention Systems (IDS/IPS). Identity & Access Management (IAM): Multi-factor authentication (MFA) and Role-Based Access Control (RBAC). Governance & Compliance: GDPR, HIPAA, and NIST frameworks. Incident Response: Threat hunting, digital forensics, and disaster recovery. B. Internet of Things (The Edge) Hardware Architecture: Microcontrollers (MCUs), sensors, and actuators. Connectivity Protocols: Zigbee, LoRaWAN, MQTT, and CoAP. Embedded Systems: Real-time operating systems (RTOS) and firmware development. Edge Computing: Local data processing to reduce latency before sending to the cloud. C. Cloud Solutions (The Core) Service Models: IaaS (Infrastructure), PaaS (Platform), and SaaS (Software). Deployment Models: Public, Private, Hybrid, and Multi-Cloud. Virtualization: Hypervisors, containers (Docker), and orchestration (Kubernetes). Serverless Computing: Function-as-a-Service (FaaS) for scaling on-demand. 2. Interrelated & Convergent Subtopics These are the specialized areas where the three fields overlap, creating unique challenges and solutions. I. Secure Cloud-to-Thing Integration Device Shadows & Digital Twins: Managing the virtual representation of an IoT device in the cloud securely. Zero-Touch Provisioning: Automatically and securely onboarding thousands of devices to a cloud platform without manual intervention. Certificate-Based Authentication: Using X.509 certificates to ensure that only authorized devices can talk to the cloud. II. Advanced Threat Landscapes IoT Botnets (e.g., Mirai): How compromised IoT devices are used to launch massive DDoS attacks against cloud infrastructures. Side-Channel Attacks: Stealing encryption keys from IoT hardware by monitoring power consumption or electromagnetic leaks. Cloud Misconfiguration: How a simple "open" S3 bucket can leak sensitive data collected by millions of IoT sensors. III. Data Sovereignty & Privacy End-to-End Encryption (E2EE): Ensuring data is encrypted at the sensor and only decrypted at the cloud application level, remaining unreadable even to the cloud provider. Homomorphic Encryption: Performing computations on IoT data within the cloud without ever decrypting it. Data Minimization at the Edge: Using edge computing to strip PII (Personally Identifiable Information) before data ever reaches the cloud. IV. Modern Security Architectures Zero Trust for IoT: Moving away from "trusted networks" to a model where every device and cloud request must be continuously verified. Blockchain for Decentralized Identity: Using a distributed ledger to verify IoT device identities without a central cloud authority. AI-Driven Anomaly Detection: Using cloud-based Machine Learning to analyze IoT traffic patterns and detect "strange" behavior (e.g., a smart lightbulb suddenly trying to access a database).