CIPHERSHIELD: PIONEERING MULTI-KEY CRYPTOGRAPHY FRAMEWORK FOR FILE ENCRYPTION USING DYNAMIC KEYS

The exponential growth of digital content consumption, particularly in the form of video data, underscores the critical need for robust security measures to prevent unauthorized usage and copyright infringement of video data. This work introduces another level of hybrid cryptographic approach, specifically tailored to secure video files by leveraging a hybrid encryption model that combines the asymmetric power of RSA and dynamic AES key management. Unlike conventional methods, our approach dynamically generates unique AES keys for each chunk of video data, using system-unique identifiers and elliptic curve equations, thereby enhancing the security and adaptability of the encryption process. The proposed system is implemented through a sophisticated software solution that features dedicated modules for video encryption and decryption. This system ensures that video files are securely encrypted, with keys regenerated dynamically to maintain resilience against attacks. Rigorous testing and evaluation demonstrate the system's superiority in both security and performance metrics, proving it to be an effective solution for combating modern challenges such as copyright infringement and piracy. This research offers a significant contribution to the field of file security, presenting a cutting-edge cryptographic implementation that meets the evolving demands of digital content protection.

Authors

Institutions

Publication Details

Journal
International Journal of Advanced Research in Computer Science
Published
2025-02-20
DOI
https://doi.org/10.26483/ijarcs.v16i1.7181
Citations
1
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
1.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CIPHERSHIELD: PIONEERING MULTI-KEY CRYPTOGRAPHY FRAMEWORK FOR FILE ENCRYPTION USING DYNAMIC KEYS

Mohammed Abdul Lateef
1 citations
International Journal of Advanced Research in Computer Science
Chaos-based Image/Signal Encryption
1.28
article

CIPHERSHIELD: PIONEERING MULTI-KEY CRYPTOGRAPHY FRAMEWORK FOR FILE ENCRYPTION USING DYNAMIC KEYS

Mohammed Abdul Lateef
article en
1 citations

Abstract

The exponential growth of digital content consumption, particularly in the form of video data, underscores the critical need for robust security measures to prevent unauthorized usage and copyright infringement of video data. This work introduces another level of hybrid cryptographic approach, specifically tailored to secure video files by leveraging a hybrid encryption model that combines the asymmetric power of RSA and dynamic AES key management. Unlike conventional methods, our approach dynamically generates unique AES keys for each chunk of video data, using system-unique identifiers and elliptic curve equations, thereby enhancing the security and adaptability of the encryption process. The proposed system is implemented through a sophisticated software solution that features dedicated modules for video encryption and decryption. This system ensures that video files are securely encrypted, with keys regenerated dynamically to maintain resilience against attacks. Rigorous testing and evaluation demonstrate the system's superiority in both security and performance metrics, proving it to be an effective solution for combating modern challenges such as copyright infringement and piracy. This research offers a significant contribution to the field of file security, presenting a cutting-edge cryptographic implementation that meets the evolving demands of digital content protection.

International Journal of Advanced Research in Computer ScienceVol. 16(1)
Jawaharlal Nehru Technological University, Hyderabad (IN)
Openalex Percentile: Top 23%
Chaos-based Image/Signal Encryption
1.28
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.