CORTEXA
← Browse
openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25Cited by 0

Ensuring Privacy in the 6G-Enabled Internet of Vehicles: A survey on current Solutions, Challenges, and Future Directions

Vijayalaxmi S Sadlapur, Nayana Hegde

Abstract: The Internet of Vehicles (IoV) has emerged as a transformative technology in Intelligent Transportation System (ITS), enabling seamless connectivity between vehicles, infrastructure, and devices. However, as IoV systems evolve, they face complex security and privacy challenges, especially in light of increasing connectivity, data sharing, and the integration of 6G networks. Existing security solutions, including blockchain-based schemes and authentication protocols, often struggle with scalability, resource efficiency and latency requirements. This survey systematically reviews the landscape of privacy-preserving and secure IoV solutions, assessing recent advancements in cryptographic techniques, decentralized trust management, and emerging quantum-resistant protocols. By identifying significant research gaps this paper highlights areas where future research can innovate to meet IoV’s demanding security and privacy needs. The findings aim to guide the development of robust, adaptive solutions for secure, high-speed, and privacy-conscious IoV networks in an increasingly connected vehicular ecosystem.

View free PDFSource page

Related papers

openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

Deep Learning for OSCC Diagnosis: A Multimodal Survey of Techniques, Challenges, and Future Directions

Vinaya R. Kudatarkar, A S Patil, Savita K. Shetty

Abstract: Oral cancer, particularly Oral Squamous Cell Carcinoma (OSCC), remains a significant global health concern due to high mortality rates and frequent late-stage diagnosis. Often identified at an advanced stage because of publicignoranceand restrictions in traditional diag…

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

# Artificial Intelligence in Metallurgical Engineering: A Comprehensive Review of Applications, Challenges, and Future Direction

Sudhakar Geruganti

## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Driven Transformation in Metallurgical Engineering: From Microstructure Analysis to Smart Manufacturing and Sustainable Production"** ### Alternative Title 2 (Process-Focused)**"Machine Learning and Deep Learning…

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-08-09

Artificial Intelligence in Indian Banking: Opportunities, Challenges and Future Prospects – A Review

KAVITA HURAKADLI, Bhagirathi Halalli, Bindu. H.A., Nandini. H.M.

Artificial Intelligence (AI) is changing the way Indian banks work and interact with their customers. From smarter chatbots and automated loan approvals to better fraud detection and easier access to banking in rural areas, AI is making banking more efficient and accessible. Over…

Also available via: European Organization for Nuclear Research

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-07-25

# Artificial Intelligence-Enabled Quantification of Cube and Goss Textures in Polycrystalline Materials: A Comprehensive Review of Machine Learning, Deep Learning, and EBSD-Based Characterization Approaches

Sudhakar Geruganti

## ALTERNATIVE TITLES ### Alternative Title 1 (Comprehensive)**"AI-Driven Analysis of Cube {100}<001> and Goss {110}<001> Textures: Machine Learning, Deep Learning, and Generative Models for Crystallographic Texture Quantification in Metallurgical Engineering"** ### Alternative T…

View free PDFSource page
openalexZenodo (CERN European Organization for Nuclear Research)2026-07-27

Artificial Intelligence in Preventive Medicine and Chronic Disease Management: Key Roles and Limits

C. A. Korie, F. Onyekwuo, A. Emesowum, C. Vincent, J. Ibebuike, Nwagwu SA

Artificial intelligence (AI) in modern healthcare is one of the most transformational technologies available, giving unparalleled prospects to advance preventative medicine and treat chronic diseases. AI enhances healthcare systems’ ability to identify diseases earlier, predict h…

View free PDFSource page