Cloud-assisted Multi-Channel Data Broadcasting

dc.contributor.authorMaji, Debabrata
dc.date.accessioned2025-09-03T09:41:47Z
dc.date.available2025-09-03T09:41:47Z
dc.date.issued2025-07
dc.descriptionDissertation under the guidance of Prof Mriganka Mandal, Captain Manish Khanna and Lt. Cdr. Keval Krishanen_US
dc.description.abstractThe convergence of Internet of Things (IoT) and cloud computing has transformed technology, impacting commerce, industrial production, data management, etc. Multi- Channel Broadcast Encryption (MCBE), first introduced by Phan et al. (ASIACCS 2013), is a cryptographic encryption primitive used for both IoT and Cloud that permits a sender to e!ciently and securely encrypt several messages for di”erent groups of receivers. After thoroughly exploring the existing literature, we observe that none achieves the robust provable security within the standard model. This paper addresses this gap, aiming to achieve adaptive INDistinguishable under full-IDentity Chosen-Ciphertext Attack (IND-ID-CCA) security by constructing an e!cient identity-based MCBE without the Random Oracle Model (ROM). Our construction not only attains communication bandwidth of O(μ)-size but also maintains constant-size overhead storage without any security vulnerabilities. Here, μ represents the number of messages. This is the first protocol proven to be adaptive IND-ID-CCA secure under the standard Decisional Bilinear Di!e-Hellman Type-3 (DBDH-3) assumption in public-key settings without any random oracles. Moreover, practical implementation data reveals an optimal decryption algorithm, taking a mere 0.0048 seconds on IoT devices, demonstrating real-world applicability. Furthermore, our proposed design is highly e!cient as opposed to the other existing works, as shown by implemental and graphical data.en_US
dc.identifier.citation42p.en_US
dc.identifier.urihttp://hdl.handle.net/10263/7610
dc.language.isoenen_US
dc.publisherIndian Statistical Institute, Kolkataen_US
dc.relation.ispartofseriesDissertation CRS;23-07
dc.subjectMulti-Channel Broadcast Encryptionen_US
dc.subjectIdentity-Based Encryptionen_US
dc.subjectType-3 Bilinear Mapen_US
dc.subjectAdaptive IND-CCA Securityen_US
dc.titleCloud-assisted Multi-Channel Data Broadcastingen_US
dc.typeOtheren_US

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Debabrata Maji.pdf
Size:
2.7 MB
Format:
Adobe Portable Document Format
Description:
Dissertations - M Tech (CRS)

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: