Members of the SISCOM research group published the paper “Modeling and Benchmarking Two-Wheeler Seepage Behavior in Dense
Mixed Traffic Simulations”, in the Computer Networks journal. https://t.co/XrlSoU9RZ0
@AgneevGuin@abguillen97
Gracias a #JITEL y a @scitel_es por ofrecer un espacio de encuentro y divulgación para la comunidad investigadora nacional en Ingeniería Telemática, y a @LaSalleBCN por acoger aquella edición en Barcelona.
📚 ISBN: 978-84-09-58148-1
🧵3/3
Este fue el primer trabajo que publiqué durante mi doctorado:
«Diseño de esquema de carga/descarga para vehículos eléctricos en entornos urbanos», presentado en #JITEL2023 junto a Pablo A. Barbecho Bautista y Mónica Aguilar Igartua. 🧵1/3
Aquel trabajo fue el germen de una línea de investigación que hemos seguido desarrollando sobre planificación inteligente de la carga y descarga de vehículos eléctricos, movilidad urbana y aprendizaje por refuerzo.
📄 Actas, pp. 176–179:
https://t.co/UFS6WMuo18
🧵2/3
Excited to share our latest research published in @Sensors_MDPI, offering a comprehensive analysis of DNS traffic from IoT devices.
"Reducing DNS Traffic to Enhance Home IoT Device Privacy" https://t.co/HegNg0I5o6
@Celeste_B612@compromiseAEI@MDPIOpenAccess
Sharing my first publication on DoH—an early step in my research on DNS privacy, published 3 years ago: “Real Time Detection of Malicious DoH Traffic Using Statistical Analysis” https://t.co/FmtplZ44m7
#NetworkSecurity@Celeste_B612@cgr_uc3m
Following our early work on DoH, our recent publication introduces CO-DEFEND, a decentralized FL framework for real-time malicious DoH detection, advancing privacy-preserving threat intelligence.
https://t.co/iYZltPkSS2
#NetworkSecurity#DNSPrivacy@Celeste_B612@cgr_uc3m
Expanding beyond DNS security to IoT privacy and fingerprinting: “AI Versus IoT Security: Fingerprinting and Defenses Against TLS Handshake-Based IoT Device Classification”
https://t.co/Pyi8jaiV6D
#IoTSecurity#NetworkSecurity@Celeste_B612@cgr_uc3m
We’re using Data Fractals to catch malware🔍
Our latest research reveals that Self-Similarity and Entropy act as a mathematical fingerprint, unmasking threats inside encrypted DNS tunnels.
🔗 https://t.co/UlHwRXoYBA
#NetworkSecurity#DNS@Celeste_B612@cgr_uc3m
Is DNS over QUIC (DoQ) as private as we think? 🔒
A new study reveals that structural metadata leakage allows website fingerprinting, bypassing encryption via traffic analysis and XAI. 👇
https://t.co/Kp0pMwzCaJ
@Celeste_B612@cgr_uc3m#NetworkSecurity#DNSPrivacy
📢 Take a look at this paper: "Strategic deployment of RSUs in urban settings: Optimizing IEEE 802.11p infrastructure" https://t.co/L3gQdymfbX
#UPCommons
Members of the SISCOM research group of the @ENTEL_UPC Dpt. at the @la_UPC published the paper "FedCAMO: Federated Learning Carbon-Aware Multi-Objective Client Selection", in Computer Networks https://t.co/RH7S73Txoc
@luisjdelacruz@abguillen97@MonicaAguilarIg
Members of the SISCOM research group of the @ENTEL_UPC Dpt. at the @la_UPC published the paper "Data Privacy Analysis for ML-Based Congestion Control in Multi-hop Wireless Networks" in IEEE Access https://t.co/ER3xbZCsYR
@luisjdelacruz@MonicaAguilarIg
Members of the SISCOM group of the @ENTEL_UPC Dpt. at the @la_UPC published the paper “FedITS-Tool: A lockstep co-simulation framework for vehicular federated learning with per-round energy and carbon accounting” in SoftwareX https://t.co/iAY31czud3
@luisjdelacruz@abguillen97
Members of the SISCOM research group of the @ENTEL_UPC Dpt. at the @la_UPC published the paper "MobiCugat: City-Scale Traffic Assessment using Low-Emission Zone Camera Data", in Smart Cities https://t.co/wZbu3Lce4i
@abguillen97@MonicaAguilarIg@Tur_Ros
The T-mobilitat project manages global access to public transportation and mobility information enabling new promising services!🤩Our students learnt and truly enjoyed a lot. Many thanks to Héctor, Albert, Sònia and the entire CGIM-ATM Team! @T_mobilitat
https://t.co/UxfAF0ya1l👏