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http://hdl.handle.net/10603/602635
Title: | Advanced IPDS Frameworks for Enhancing Security and Communication in Hostile VANETs |
Researcher: | Vamshi Krishna, K |
Guide(s): | Ganesh Reddy, Karri |
Keywords: | Detection Prevention VANETs |
University: | Vellore Institute of Technology (VIT-AP) |
Completed Date: | 2024 |
Abstract: | The emergence of Vehicular Ad-Hoc Networks (VANETs) has revolutionized transportation newlinesystems, enabling Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) newlinecommunication for enhanced safety, efficiency, and convenience. The open and dynamic nature of VANETs introduce significant security challenges, which require robust Intrusion Detection and Prevention Systems (IDPSs) to safeguard against malicious activities newlineand unauthorized access. newlineMost of the existing security solutions are inadequate in handling the high mobility newlineof vehicles, scalability, and adaptability of networks, handling high-dimensional data, newlineand continuous learning, which leads to vulnerabilities in the security system resulting in various attacks such as Denial of Service (DoS) attacks, sybil attacks, rushing attacks, wormhole attacks, impersonation attacks, and data tampering. As a result, existing IPDS are inaccurate in detecting attacks. The need for a comprehensive security solution lies in its ability to integrate different protocols, algorithms, and data storage technology to improve the accuracy of prevention and detection of malicious attacks, newlinereduce communication and computation overhead, and be efficient in scalability and newlineadaptability to the dynamic nature of VANET newlineIn Chapter 4, we propose the TBRSU, a lightweight and distributed authentication newlineand de-authentication technique. TBRSU ensures that only legitimate vehicles gain newlineaccess, thereby mitigating unauthorized access and potential attacks such as colluding attacks, fake packet flooding, and reply attacks, where reply attacks further lead to impersonation attacks and de-authentication attacks. Our results show that TBRSU has better message reachability compared to existing techniques, and the detection accuracy of attacks such as colluding attacks, impersonation attacks, and DoS and DDoS attacks is high compared to existing techniques. newlineIn Chapter 5, the integration of the Enhanced Vehicular Delay Tolerant Network newline(VDTN) protocol with the Twin Delayed Deep Deterministic Polic |
Pagination: | xiv,101 |
URI: | http://hdl.handle.net/10603/602635 |
Appears in Departments: | Department of Computer Science and Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_ title.pdf | Attached File | 45.6 kB | Adobe PDF | View/Open |
02_ prelim pages.pdf | 203.36 kB | Adobe PDF | View/Open | |
03_ contents.pdf | 48.22 kB | Adobe PDF | View/Open | |
04_ abstract.pdf | 60.7 kB | Adobe PDF | View/Open | |
05_ chapter-1.pdf | 611.9 kB | Adobe PDF | View/Open | |
06_chapter_2.pdf | 79.29 kB | Adobe PDF | View/Open | |
07_chapter_3.pdf | 108.82 kB | Adobe PDF | View/Open | |
08_chapter_4.pdf | 1.33 MB | Adobe PDF | View/Open | |
09_chapter_5.pdf | 462.78 kB | Adobe PDF | View/Open | |
10_chapter_6.pdf | 546.53 kB | Adobe PDF | View/Open | |
11. annexures.pdf | 72.55 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 43.77 kB | Adobe PDF | View/Open |
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