Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Nakagami-m Fading Detection with Eigen Value Spectrum Algorithms
Volume-3 | Issue-2
Abstractive Summarization System
Volume-3 | Issue-4
Design of Adaptive Estimator for Nonlinear control system in Noisy Domain
Volume-3 | Issue-3
Automated Nanopackaging using Cellulose Fibers Composition with Feasibility in SEM Environment
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
EL DAPP - An Electricity Meter Tracking Decentralized Application
Volume-2 | Issue-1
SMART STREET SYSTEM WITH IOT BASED STREET LIGHT OPERATION AND PARKING APPLICATION
Volume-1 | Issue-1
ENERGY AND POWER EFFICIENT SYSTEM ON CHIP WITH NANOSHEET FET
Volume-1 | Issue-1
Abstractive Summarization System
Volume-3 | Issue-4
A Review on Meshing Techniques in Biomedicine
Volume-3 | Issue-4
MIMO BASED HIGH SPEED OPTICAL FIBER COMMUNICATION SYSTEM
Volume-1 | Issue-2
Industrial Quality Prediction System through Data Mining Algorithm
Volume-3 | Issue-2
Comparative Analysis of Temperature Measurement Methods based on Degree of Agreement
Volume-3 | Issue-3
Transistor Sizing using Hybrid Reinforcement Learning and Graph Convolution Neural Network Algorithm
Volume-3 | Issue-3
VIRTUAL REALITY SIMULATION AS THERAPY FOR POSTTRAUMATIC STRESS DISORDER (PTSD)
Volume-1 | Issue-1
Comparative Analysis an Early Fault Diagnosis Approaches in Rotating Machinery by Convolution Neural Network
Volume-3 | Issue-2
Volume - 5 | Issue - 2 | june 2023
Published
27 May, 2023
Reversible computations, besides quantum computing, have various applications in digital signal processing, nanotechnology and bioinformatics. They are particularly useful in designing low-power devices and improving computational efficiency. Cryptography is vital for protecting sensitive information in fields such as bioinformatics and digital signal processing where private data is frequently exchanged. However, cryptographic algorithms can consume significant power and require large areas, particularly when implemented in hardware. Reversible logic gates offer a potential solution by being more power-efficient and potentially reducing implementation area. Using random numbers as keys for both encryption and decryption in a reversible logic gate-based cryptographic algorithm can enhance security. LSB watermarking is a technique to embed additional metadata into digital media, improving data security. To evaluate the performance of the Field Programmable Gate Array for the Reversible Logic Gate Cryptography Design architecture, comparing it to the other state-of-the-art approach is necessary.
KeywordsReversible Logic Gate Cryptography Design (RLGCD) Random keys Field Programmable Gate Array (FPGA) Watermarking
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