Quantum Computing for Healthcare: A Review

Future Internet, Journal Year: 2023, Volume and Issue: 15(3), P. 94 - 94

Published: Feb. 27, 2023

In recent years, the interdisciplinary field of quantum computing has rapidly developed and garnered substantial interest from both academia industry due to its ability process information in fundamentally different ways, leading hitherto unattainable computational capabilities. However, despite potential, full extent computing’s impact on healthcare remains largely unexplored. This survey paper presents first systematic analysis various capabilities enhancing systems, with a focus potential revolutionize compute-intensive tasks such as drug discovery, personalized medicine, DNA sequencing, medical imaging, operational optimization. Through comprehensive existing literature, we have taxonomies across dimensions, including background enabling technologies, applications, requirements, architectures, security, open issues, future research directions, providing panoramic view paradigm for healthcare. Our aims aid new experienced researchers by helping them understand current landscape, identifying opportunities challenges, making informed decisions when designing architectures applications

Language: Английский

---

Exploiting Newly Designed Fractional-Order 3D Lorenz Chaotic System and 2D Discrete Polynomial Hyper-Chaotic Map for High-Performance Multi-Image Encryption

Fractal and Fractional, Journal Year: 2023, Volume and Issue: 7(12), P. 887 - 887

Published: Dec. 16, 2023

Chaos-based image encryption has become a prominent area of research in recent years. In comparison to ordinary chaotic systems, fractional-order systems tend have greater number control parameters and more complex dynamical characteristics. Thus, an increasing researchers are introducing enhance the security chaos-based encryption. However, their suggested algorithms still suffer from some security, practicality, efficiency problems. To address these problems, we first constructed new 3D Lorenz system 2D sinusoidally constrained polynomial hyper-chaotic map (2D-SCPM). Then, elaborately developed multi-image algorithm based on 2D-SCPM (MIEA-FCSM). The introduction with fourth parameter not only enables MIEA-FCSM significantly large key space but also enhances its overall security. Compared alternatives, structure is simpler conducive application implementation. our proposed MIEA-FCSM, multi-channel fusion initially reduces pixels one-sixth original. Next, after two rounds plaintext-related random substitution, dynamic diffusion, fast scrambling, fused pixel matrix eventually encrypted into ciphertext one. According numerous experiments analyses, obtained excellent scores for (2541), correlation coefficients (<0.004), information entropy (7.9994), NPCR (99.6098%), UACI (33.4659%). Significantly, attained average rate as high 168.5608 Mbps. Due superiority system, 2D-SCPM, targeted designs, outperforms many recently reported leading algorithms.

Language: Английский

---

A comprehensive survey on image encryption: Taxonomy, challenges, and future directions

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 178, P. 114361 - 114361

Published: Dec. 5, 2023

Language: Английский

---

Advances and Vulnerabilities in Modern Cryptographic Techniques: A Comprehensive Survey on Cybersecurity in the Domain of Machine/Deep Learning and Quantum Techniques

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 27530 - 27555

Published: Jan. 1, 2024

In the contemporary landscape, where a huge amount of data plays vital role, importance strong and robust cybersecurity measures has become increasingly paramount. This research proposes review extensively explores techniques within domain machine/deep learning quantum techniques, with particular focus on cryptographic methods methodologies applied to image encryption. The proposed survey covers range including random number generation, secure transmission images, watermarking through methods, steganography. Moreover, it encryption, which integrates adversarial neural networks, deep machine learning, transformation chaotic networks that can be used digital from cyber attacks. Our extends beyond highlighting advances in investigating vulnerabilities existing techniques. By identifying challenges weaknesses, potential solutions are also presented, establishing foundation for future recommendations. These suggestions address overcome observed aim extensive analysis is provide understanding innovative diverse approaches domain. Simultaneously, aims create roadmap counter threats challenges.

Language: Английский

---

A survey of image encryption algorithms based on chaotic system

The Visual Computer, Journal Year: 2022, Volume and Issue: 39(5), P. 1975 - 2003

Published: April 7, 2022

Language: Английский

---

CloudSec: A Lightweight and Agile Approach to Secure Medical Image Transmission in the Cloud Computing Environment

SN Computer Science, Journal Year: 2024, Volume and Issue: 5(2)

Published: Jan. 27, 2024

Language: Английский

---

An efficient structure for designing a nano-scale fault-tolerant 2:1 multiplexer based on quantum-dot cellular automata

Optik, Journal Year: 2021, Volume and Issue: 251, P. 168409 - 168409

Published: Nov. 28, 2021

Language: Английский

---

A secure medical image encryption algorithm for IoMT Using a Quadratic-Sine Chaotic Map and pseudo-parallel confusion-diffusion mechanism

Expert Systems with Applications, Journal Year: 2025, Volume and Issue: 270, P. 126521 - 126521

Published: Jan. 16, 2025

Language: Английский

---

Quantum computing in Healthcare 5.0

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 43 - 62

Published: Jan. 1, 2025

Language: Английский

---

Multi-layered security system: Integrating quantum key distribution with classical cryptography to enhance steganographic security

Alexandria Engineering Journal, Journal Year: 2025, Volume and Issue: 121, P. 167 - 182

Published: Feb. 27, 2025

Language: Английский

---