A Major Project Presentation on Lightweight image encryption

Lightweight image encryption

1. A Major Project Presentation On Lightweight Image Encryption Approach Under The Esteemed Guidance Of Ms. CH. Sushma (Assistant Professor, CSE Department) By- Abubakkar Siddique (20WJ1A05R2) Vinay Kumar (20WJ1A05W6) Shaik Aftab (21WJ5A0525)

2. Lightweight Image Encryption Approach Overview and Importance of Lightweight Encryption Abstract Objective Introduction Literature survey Existing System Proposed System System Architecture

3. Abstract • This paper proposes a lightweight image encryption approach for medical Internet of Things (MIoT) networks using compressive sensing and a modified seven-dimensional (MSD) hyper chaotic map. • Initially, 7D hyper chaotic map is modified to generate more secure and complex secret keys. SHA-512 is used to create the initial conditions for MSD, which ensures its sensitivity towards input images. • Using non subsampled contourlet transform (NSCT), further improvements in the compressive sensing are achieved, and then the measurement matrices are generated using the secret keys obtained from MSD. •Finally, to generate encrypted images, the diffusion and permutation are carried out row and column-wise on compressed images using secret keys obtained from MSD.

4. Biomedical Image Encryption Secure Data for Medical Encryption plays crucial role in protecting sensitive medical imaging data. Secure encryption prevents unauthorized access to patient information. Examples include AES, RSA, and DES encryption algorithms. Ensuring data integrity and confidentiality is essential in healthcare industry. Content Source Wikipedia Photo by Pexels

5. Challenges in Lightweight Image Encryption Benefits of Lightweight Encryption Limitations of Lightweight Encryption Implementing lightweight encryption can improve data security for biomedical images. Lightweight encryption solutions can provide a balance between security and performance. These solutions are cost-effective and can easily be integrated into existing systems. Implementing encryption on biomedical images can be complex and challenging due to strict regulatory requirements. Ensuring compatibility with existing systems and devices can be a major hurdle in deploying lightweight encryption. Maintaining the balance between security and performance can be difficult, leading to potential vulnerabilities. Content Source Wikipedia

6. Overview of File Formats File formats determine how data is stored and accessed in computing systems. 1 Common file formats include JPEG for images, MP3 for audio, and PDF for documents. 2 Each file format has its own advantages and limitations, impacting compatibility and file size. 3 Content Source Wikipedia

7. Existing System Photo by Pexels Photo by Pexels Representation DNA cryptography represents an emerging field leveraging the immense storage capacity and inherent information-coding capabilities of DNA molecules for cryptographic purposes. Encryption Algorithm Selection C hoose a lightweight encryption algorithm suitable for biomedical images. Consider factors such as encryption strength, computational complexity, and resource constraints. DNA Cryptography It works by converting normal information into DNA code using the four letters A, C, G, and T which stand for the DNA bases. These bases represent the 0s and 1s of binary code. So, a message is turned into a sequence of these letters and then stored as DNA. Performance Evaluation Conduct extensive performance evaluations to assess the security and efficiency of the proposed encryption approach. Measure encryption and decryption speed, memory footprint, and computational resources required

8. Proposed System The proposed system provides not only low computational cost but also low power consumption presented a secret 3-D object sharing scheme to protect the actual content of an image. The geometrical distortions were protected through the proposed sharing mechanism. The blocks of the image were scrambled by utilizing random permutation, rotation, and zigzag patterns. Using the logistic chaotic map, secret keys were generated that were used to diffuse scrambled blocks. Akkasaligar et al. utilized dual hyper chaotic map and (DDNA) to implement the medical image encryption technique. SHA-512 Algorithm SHA-512, a member of the Secure Hash Algorithm (SHA) family, stands as a cryptographic hash function designed to generate a fixed-size, 512-bit (64-byte) hash value from input data of varying sizes. It employs a complex set of logical operations involving bit manipulation, modular arithmetic,and bitwise operations, making it computationally infeasible to reverse the hash to derive the original input.

9. SYSTEM REQUIREMENTS Photo by Pexels Photo by Pexels Content Source Wikipedia SOFTWARE REQUIREMENTS: BACK END : Python 3.11.4 OPERATING SYSTEM : Windows 7 IDE : Spyder3 HARDWARE REQUIREMENTS: PROCESSOR : Intel i3 Processor RAM : 6GB dd ram HARD DISK : 250 GB

10. Importance of Encryption Lightweight Biomedical Images Lightweight encryption is crucial for securing sensitive biomedical images. It ensures data privacy and compliance with regulations in healthcare. Encryption algorithms like AES are often used to protect image data. Implementing encryption in medical imaging software enhances data security. Content Source Wikipedia Photo by Pexels

11. Photo by Pexels Photo by Pexels Content Source Wikipedia Conclusion In conclusion, developing lightweight encryption approaches for biomedical images presents a multifaceted challenge that requires careful consideration of security, efficiency, and practicality. While these approaches offer the potential to protect sensitive medical data without imposing significant computational overhead, they also face several challenges The trade-off between security and efficiency remains a central concern, as lightweight encryption algorithms must strike a delicate balance to ensure adequate protection while operating within the resource constraints of biomedical imaging systems Despite these challenges, the development of lightweight encryption techniques holds promise for enhancing the security of biomedical imaging systems and protecting sensitive patient data.