43rd LISBON World Conference on Cybersecurity, IoT, and Cloud Solutions: LCICS-26

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).