Journal IJCRT UGC-CARE, UGCCARE( ISSN: 2320-2882 ) | UGC Approved Journal | UGC Journal | UGC CARE Journal | UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, International Peer Reviewed Journal and Refereed Journal, ugc approved journal, UGC CARE, UGC CARE list, UGC CARE list of Journal, UGCCARE, care journal list, UGC-CARE list, New UGC-CARE Reference List, New ugc care journal list, Research Journal, Research Journal Publication, Research Paper, Low cost research journal, Free of cost paper publication in Research Journal, High impact factor journal, Journal, Research paper journal, UGC CARE journal, UGC CARE Journals, ugc care list of journal, ugc approved list, ugc approved list of journal, Follow ugc approved journal, UGC CARE Journal, ugc approved list of journal, ugc care journal, UGC CARE list, UGC-CARE, care journal, UGC-CARE list, Journal publication, ISSN approved, Research journal, research paper, research paper publication, research journal publication, high impact factor, free publication, index journal, publish paper, publish Research paper, low cost publication, ugc approved journal, UGC CARE, ugc approved list of journal, ugc care journal, UGC CARE list, UGCCARE, care journal, UGC-CARE list, New UGC-CARE Reference List, UGC CARE Journals, ugc care list of journal, ugc care list 2020, ugc care approved journal, ugc care list 2020, new ugc approved journal in 2020, ugc care list 2021, ugc approved journal in 2021, Scopus, web of Science.
How start New Journal & software Book & Thesis Publications
Submit Your Paper
Login to Author Home
Communication Guidelines

WhatsApp Contact
Click Here

  Published Paper Details:

  Paper Title

AI-Driven Digital Twin Frameworks For Next-Gen 6G V2X Security Solutions

  Authors

  Arjun M Nair,  Akhija Lakshmi R

  Keywords

6G, Internet of Vehicles (IoV), Vehicle-to- Everything (V2X), Digital Twin (DT), Cybersecurity, Intrusion Detection, Trust Management, Authentication, Vehicle-to-Grid (V2G), Cyber-Twin, Open RAN, Federated Learning, Blockchain, Autonomous Driving, Smart Transportation Systems, Low Latency, Scalability, Resilience.

  Abstract


The arrival of sixth-generation (6G) networks is set to change the Internet of Vehicles (IoV) and Vehicle-to-Everything (V2X) communication. It will provide ultra-low latency, high reliability, and smooth connectivity for future self-driving cars and smart transportation systems. With more artificial intelli- gence (AI), edge computing, and fast communication, IoV will be the foundation of next-generation mobility services. However, the open, dynamic, and diverse nature of vehicle networks makes them very vulnerable to various cyber threats. Attacks such as Sybil, spoofing, denial-of-service (DoS), replay, and data manipulation can undermine trust, disrupt services, and even put passenger safety at risk. Traditional cryptography and security protocols are somewhat effective but often face problems with scalability, high overhead, and limited flexibility in highly mobile and resource-limited settings. Digital Twin (DT) technology has emerged as a promising way to overcome these limitations. It creates smart virtual replicas of vehicles, networks, and environments. These digital counterparts allow real-time monitoring, detect problems, and provide predictive security defense. Recent advancements show the effectiveness of DT-driven security methods. Cyber-Twin- based intrusion detection improves the recognition of anomalies and allows for flexible countermeasures. In the same way, DT- powered data sharing in Open RAN boosts data confidentiality and integrity while cutting down on communication delays. Trust management strategies based on DTs help evaluate vehicle interactions, ensuring reliable decision-making and detection of harmful nodes. Additionally, the combination of federated learn- ing with blockchain technology offers decentralized, privacy- protecting, and tamper-resistant security solutions. This ap- proach helps address issues like data poisoning and reliance on central authorities. Collectively, DT-enabled frameworks improve detection accu- racy, reduce latency, increase scalability, and boost resilience against complex cyberattacks. These advancements show the transformative potential of DTs in securing 6G-enabled vehicular networks. They are essential for creating safe, efficient, and intelligent transportation systems.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2510289

  Paper ID - 294904

  Page Number(s) - c430-c434

  Pubished in - Volume 13 | Issue 10 | October 2025

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Arjun M Nair,  Akhija Lakshmi R,   "AI-Driven Digital Twin Frameworks For Next-Gen 6G V2X Security Solutions", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 10, pp.c430-c434, October 2025, Available at :http://www.ijcrt.org/papers/IJCRT2510289.pdf

  Share this article

  Article Preview

  Indexing Partners

indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
Call For Paper February 2026
Indexing Partner
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
DOI Details

Providing A digital object identifier by DOI.org How to get DOI?
For Reviewer /Referral (RMS) Earn 500 per paper
Our Social Link
Open Access
This material is Open Knowledge
This material is Open Data
This material is Open Content
Indexing Partner

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer
indexer