0% Complete
فارسی
Home
/
پانزدهمین کنفرانس بین المللی فناوری اطلاعات و دانش
A Nano-based High-Speed QCA circuit for Information Security with Image Masking
Authors :
Saeid Seyedi
1
Hatam Abdoli
2
1- دانشگاه بوعلی سینا
2- دانشگاه بوعلی سینا
Keywords :
Security،QCA،Quantum-Dot،Image،QCADesigner،Low space
Abstract :
A potential method for nanoscale computing, quantum-dot cellular automata (QCA) makes use of the electron tunneling between quantum dots inside a cell as well as the electrostatic interaction between surrounding dots. QCA technology outperforms traditional complementary metal-oxide semiconductor (CMOS) technology in terms of speed, power consumption, security, and space utilization. Due to the importance of security, this article investigates utilizing QCA to generate picture masks and security in these pictures. The mask picture is created by an encoder circuit, which may also be used as a decoder. Even if the secret key is still unknown, the original picture can be retrieved using the mask image. Improving the security characteristics in nano-communication, which uses QCA cells and nanodevices, is essential. Image masking entails encrypting an image using a random key to generate an encrypted picture, also known as a cipher image. After that, the original picture and the cipher image are merged to create a mask image, a hidden information set for users. With the secret key, this mask picture may obtain an image from another cipher image created with the same set of random keys. To ensure security in this paper, the suggested QCA encoder generates the mask picture. The efficacy of these designs was confirmed by using QCADesigner for functional verification. The simulation results show that the suggested solutions not only work well but also much surpass earlier approaches in terms of speed and space consumption. The higher performance of these optimum designs over other circuit designs highlights the potential of QCA technology to improve picture masking and security.
Papers List
List of archived papers
A Community-Based Method for Identifying Influential Nodes using Network Embedding
Nargess Vafaei - Dr Mohammad Reza Keyvanpour
SBST challenges from the perspective of the test techniques
Sepideh Kashefi Gargari - Dr Mohammad Reza Keyvanpour
نقشه های شناختی فازی پیشرفته (FCM) رویکردی برای مدل سازی سیستم های پیچیده ی پویا
فریبا اسلامی امیرآبادی - کمال میرزایی بدرآبادی
رویکرد نوین مبتنی بر خوشهبندی محلی شدت روشنایی برای جداسازی بافتهای مغزی
آسیه خسروانیان - سعید آیت
Multi-label Classification of Steel Surface Defects Using Transfer Learning and Vision Transformer
Amirhossein Komijani - Farzaneh Vafaeinezhad - Javad Khoramdel - Yasamin Borhani - Esmaeil Najafi
GNN-based Topology Feature Extraction for Adaptive 6G Network Slicing
Amirmasoud Sepehrian - Siavash Khorsandi
پیش بینی ارتباط میزان مرگ و میر با هم زمانی وجود دو بیماری در مبتلایان به کرونا به کمک بگارگیری شبکه عصبی Word2Vec
سمن مثقالی - دکتر جواد عسکری سمن مثقالی - جواد عسکری -
Sentiment Analysis of the Amazon Customers Using the BiGRU Neural Network Enhanced by Attention Mechanism
Sara Sinan Salman al-Abedi - Keyvan Mohebbi
A Graph Attention-Based Autoencoder for Critical Path Anomaly Detection in Microservices
Mahdi Naderi - Hossein Momeni - Shayan Shahini
A Deep Neural Network-based Method for MmWave Time-varying Channel Estimation
Amirhossein Molazadeh - Zahra Maroufi - Mehrdad Ardebilipour
more
Samin Hamayesh - Version 44.5.0