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E. P. de Freitas

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Conference Jul 2026

CogniTensor: Adaptive Multi-Sensor Transmission for V2X Collective Perception via Uncertainty and Channel Awareness

Collective Perception (CP) in Vehicle-to-Everything (V2X) networks extends vehicle perception, but in high-density scenarios, simultaneous multi-sensor data exchange saturates the available 5.9 GHz channel bandwidth, degrading the Age of Information (AoI) and compromising safety. Existing approaches employ static trans...

A. S. da Silva, J. D. Da Costa, Alexey Vinel et al. · 0 citations
Conference Jul 2026

3D Deep Reinforcement Learning Based UAV Trajectory Planning in Dynamic and Partially Observable Environments

Trajectory planning for unmanned aerial vehicles (UAVs) in dynamic and partially observable environments becomes more complex when extended from two-dimensional to three-dimensional navigation. Although Deep Reinforcement Learning (DRL) methods have shown strong performance in 2D scenarios, their application to 3D spac...

Eduardo Machado Wullner, Arthur von Groll dos Santos, M. Vizzotto et al. · 0 citations
Conference Jul 2026

Experimental Evaluation of Fully Homomorphic Encryption for Privacy-Preserving V2X Communication

Vehicle-to-Everything (V2X) communication requires continuous exchange of mobility data, but this information is highly sensitive and must be protected. Fully Homomorphic Encryption (FHE) enables computation directly on encrypted data and has recently been explored for Intelligent Transportation Systems (ITS), yet its...

Louise Wegrelius, Theodor Johansson, Elias Gustafsson et al. · 0 citations
Conference Jul 2026

Edge-Based Digital Twins for QoS-Aware Orchestration in Heterogeneous UAV Fleets

Heterogeneous multi-UAV fleets act as highly dynamic mobile Internet of Things (IoT) nodes, but they often integrate platforms with incompatible telemetry and control semantics, hindering safe and scalable coordination. This paper presents an Asset Administration Shell (AAS)-driven digital twin architecture for the clo...

M. Bampi, P. H. M. Pereira, E. P. de Freitas · 0 citations
Conference Jul 2026

A Lightweight Intrusion Detection System for Constrained IoT Devices

Traditional Internet of Things (IoT) security solutions often rely on heavy cloud-based or gateway-class infrastructure, which is frequently unsuitable for resource-limited hardware due to latency, power, and memory constraints. This paper proposed a resource-aware behavioral Intrusion Detection System (IDS) designed f...

Sofyan Bisher, Anas Fawaza, Tarek Mawed et al. · 0 citations
Conference Jul 2026

Mitigating Sybil Attacks in V2X Communication Through Cryptographic Trust Anchors

Vehicle-to-Everything (V2X) communication enables vehicles to exchange safety-critical messages, but its reliance on temporary pseudonymous identities makes it vulnerable to Sybil attacks, where a single attacker fabricates multiple identities to inject false information into the network. This paper presents a lightwei...

Maher Fayyad, Abdullah Awad, Edison Pignaton De Freitas et al. · 0 citations
Conference Jul 2026

Lightweight IoT Node Offloading Framework for Real-Time Edge Analytics

The rapid growth of Internet of Things (IoT) deployments has intensified the need for efficient, decentralized computation management at the network edge. This paper presents a lightweight, neighbor-aware one-hop task offloading framework designed for resource-constrained IoT networks. The proposed adaptive scheme comb...

Faizan Haider, Alexandre dos Santos Roque, E. P. de Freitas · 0 citations
Conference Jul 2026

A Hybrid Blockchain-Based Zero-Trust Architecture for Secure and Scalable IoT Systems

The growth of the Internet of Things (IoT) has introduced significant security challenges, mainly due to the resource constraints of devices and the limitations of centralized architectures. This paper proposes a blockchain-based Zero-Trust framework for secure and scalable IoT systems. The approach is architecture-agn...

Florian Bonelli, Alexandre dos Santos Roque, E. P. de Freitas · 0 citations
Conference Jul 2026

SEPIV-IDS: A Structured Evaluation Pipeline for In-Vehicle Intrusion Detection Systems

Critical safety functions in modern vehicles rely heavily on intra-vehicle networks (IVNs), primarily via the Controller Area Network (CAN) protocol. The inherent vulnerabilities of CAN require robust intrusion detection systems (IDS) to mitigate adversarial threats. However, state-of-the-art IDS, especially AI-based a...

Lucas da Silva Alves, Alexandre dos Santos Roque, E. P. de Freitas · 0 citations

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