scholarly journals A Comparative Study of Video Encryption Schemes

2014 ◽  
Vol 91 (4) ◽  
pp. 10-16
Author(s):  
Jitendra Rajpurohit ◽  
Shweta Sharma ◽  
Bhagyashri Naruka
Keyword(s):  
Comparative Study ◽  
Video Encryption ◽  
Encryption Schemes

The Video Encryption Scheme Based on Perceptual Encryption Algorithm in H.264 Standards

2013 ◽  
Vol 765-767 ◽  
pp. 615-619
Author(s):  
Xue Yan Zhang ◽  
Hu Chao Deng ◽  
Liang Wei Chen
Keyword(s):  
Low Cost ◽  
Video Data ◽  
Encryption Algorithm ◽  
Encryption Scheme ◽  
Video Encryption ◽  
Cost System ◽  
Encryption Schemes ◽  
Perceptual Encryption ◽  
Simulation Results ◽  
Length Code

To meet the requirement of multimedia video transmission's safety and real-time, this paper provides a conclusion based on video encryption schemes of the encryption algorithm. The solution sorts video data into VLC(variable length code) and FLC(fix-length code) ,only choose to reconstruction images FLC compared to encrypt the important element of the operation. The analysis and the simulation results show that the encryption scheme is not only high safety but also low cost system.

scholarly journals New video encryption schemes based on chaotic maps

2020 ◽  
Vol 14 (2) ◽  
pp. 397-406
Author(s):  
Hassan Elkamchouchi ◽  
Wessam M. Salama ◽  
Yasmine Abouelseoud
Keyword(s):  
Chaotic Maps ◽  
Video Encryption ◽  
Encryption Schemes

scholarly journals A Comparative Study of Homomorphic Encryption Schemes Using Microsoft SEAL

2021 ◽  
Vol 2128 (1) ◽  
pp. 012021
Author(s):  
Shereen Mohamed Fawaz ◽  
Nahla Belal ◽  
Adel ElRefaey ◽  
Mohamed Waleed Fakhr
Keyword(s):  
Machine Learning ◽  
Cloud Computing ◽  
Comparative Study ◽  
Data Aggregation ◽  
Homomorphic Encryption ◽  
Arithmetic Operations ◽  
Fully Homomorphic Encryption ◽  
Encrypted Data ◽  
Encryption Schemes ◽  
The Difference

Abstract Fully homomorphic encryption (FHE) technology is a method of encrypting data that allows arbitrary calculations to be computed. Machine learning (ML) and many other applications are relevant to FHE such as Cloud Computing, Secure Multi-Party, and Data Aggregation. Only the authenticated user has the authority to decrypt the ciphertext and understand its meaning, as encrypted data can be computed and processed to produce an encrypted output. Homomorphic encryption uses arithmetic circuits that focus on addition and multiplication, allowing the user to add and multiply integers while encrypted. This paper discusses the performance of the Brakerski-Fan-Vercauteren scheme (BFV) and Cheon, Kim, Kim, and Song (CKKS) scheme using one of the most important libraries of FHE “Microsoft SEAL”, by applying certain arithmetic operations and observing the time consumed for every function applied in each scheme and the noise budget after every operation. The results obtained show the difference between the two schemes when applying the same operation and the number of sequential operations each can handle.

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