Medical Image Encryption Using Modified Identity Based Encryption

Purnamasari, Dian Neipa; Sudarsono, Amang; Kristalina, Prima

doi:10.24003/emitter.v7i2.405

Cited by 5 publications

(5 citation statements)

References 11 publications

(8 reference statements)

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“…Dian Neipa Purnamasari, Amang Sudarsono and Prima Kristalina, 2019, [6], in their paper, mentioned that the complexity of computing in an asymmetric cryptography makes it slow, while the symmetric ones is fast. The latter suffers from a major gap that is the security level of key exchange.…”

Section: Related Workmentioning

confidence: 99%

Performance Evaluation of AES, ECC and Logistic Chaotic Map Algorithms in Image Encryption

Hussien

Khairi

2023

Int. J. Interact. Mob. Technol.

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I n these days of technology, the usage of images has become increasingly high especially now that almost everyone has access to internet. Also, image helps us to learn, grabs our attention, explains complicated concepts as well as inspires us. Sharing these images is essential and therefore image encryption algorithms are proposed to secure the transmission of these image from many types of attacks such as Man-in-the-middle attack (MITM). In this paper, we proposed a hybrid security system that consist of Elliptic Curve Cryptography (ECC) and Advanced Encryption System (AES). Where ECC is used to generate private/public keys and AES is for encryption and decryption of the image using the ECC generated keys. The system works as follows; it begins by inserting the image to be encrypted which is “lena.png” of size 256*256 and passing it to AES Algorithm along with the generated public key. Then, in AES algorithm, the public key is hashed then used to encrypt the image with AES encryption algorithm. On the other hand, the decryption algorithm works as follows; inserting the encrypted image then calculating the decryption key to use it to decrypt the image using AES decryption algorithm. Finally, our experimental results shows that the National Institute of Standards and Technology (NIST) test shows that the ECC generated keys have better randomness than using only AES generated keys. Also, the encrypted image histogram show that the image pixels values are well distributed across all three channels R, G and B. This shows that the hybrid system is a step further to get a more secure image encryption system against attacks with the generated ECC keys. To get further, Logistic chaotic map has been used to encrypt images for comparison purposes with AES and ECC generated images in terms of randomness, security and histogram

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Section: Related Workmentioning

confidence: 99%

Performance Evaluation of AES, ECC and Logistic Chaotic Map Algorithms in Image Encryption

Hussien

Khairi

2023

Int. J. Interact. Mob. Technol.

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“…We used Elliptic Curve Digital Signatures Algorithm (ECDSA) for the signing and verifying process, as in Figure 4. It was supported by several studies which state that the elliptic curve algorithm produces a strong level of security by using a smaller key than RSA [3,18,19]. Thus, ECDSA has proven to be suitable for lightweight devices.…”

Section: Lightweight Hybrid Cryptography (Lhc)mentioning

confidence: 99%

“…Our data confidentiality was obtained via the AES-256 algorithm [3,17,19]. We used Cipher Block Chaining (CBC) operation as the mode in the AES algorithm.…”

Section: Lightweight Hybrid Cryptography (Lhc)mentioning

confidence: 99%

Secure Real-time Data Transmission for Drone Delivery Services using Forward Prediction Scheduling SCTP

Ronaldo

Sudarsono

Pramadihanto

2022

EMITTER Int'l J. of Engin. Technol.

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Drone technology is considered the most effective solution for the improvement of various industrial fields. As a delivery service, drones need a secure communication system that is also able to manage all of the information data in real-time. However, because the data transmission process occurs in a wireless network, data will be sent over a channel that is more unstable and vulnerable to attack. Thus, this research, purposes a Forward Prediction Scheduling-based Stream Control Transmission Protocol (FPS-SCTP) scheme that is implemented on drone data transmission system. This scheme supports piggybacking, multi-streaming, and Late Messages Filter (LMF) which will improve the real-time transmission process in IEEE 802.11 wireless network. Meanwhile, on the cybersecurity aspect, this scheme provides the embedded option feature to enable the encryption mechanism using AES and the digital signatures mechanism using ECDSA. The results show that the FPS-SCTP scheme has better network performance than the default SCTP, and provides full security services with low computation time. This research contributes to providing a communication protocol scheme that is suitable for use on the internet of drones’ environment, both in real-time and reliable security levels.

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“…Since the image has a large size, a particular storage format, and a high correlation among adjacent pixels, conventional encryption techniques such as RSA, DES, AES, and IDEA are not convenient for bulky image encryption [3]. Researchers have proposed numerous medical image encryption algorithms such as algorithms based on chaos [4][5][6][7][8][9], Elliptic Curve Cryptography (ECC) [10][11][12], and combined DNA-chaos [13][14][15][16][17][18][19][20][21][22]. sensitivity to initial conditions and parameters, high ergodicity, mixing property, and highly complex behaviour [23][24][25][26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robustly correlated key‐medical image for DNA‐chaos based encryption

Aouissaoui

Bakir

Sakly

2021

IET Image Processing

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Medical images include confidential and sensitive information about patients. Hence, ensuring the security of these images is a crucial requirement. This paper proposes an efficient and secure medical image encryption-decryption scheme based on deoxyribonucleic acid (DNA), one-dimensional chaotic maps (tent and logistic maps), and hash functions (SHA-256 and MD5). The first part of the proposed scheme is the key generation based on the hash functions of the image and its metadata. The key then is highly related and intensely sensitive to the original image. The second part is the rotation and permutation of the first two MSB bit-plans of the medical image to reduce its black background that produces redundant DNA encoded sequences. The third part is the DNA encoding-decoding using dynamically chosen DNA rules for every 2-bit pixel value through the logistic map. Meanwhile, the confusion-diffusion is performed using the tent map and XOR operation. Simulation results and security analysis prove the good encryption effects of the proposed scheme compared to the state-of-art methods with a correlation of 6.66617e-7 and a very large key space of 2 624 . Furthermore, the proposed system has a strong ability to resist various common attacks such as chosen/known-plaintext attacks and cropping/noise attacks. Recently, there has been a significant interest in chaosbased cryptography because of its interesting features such asThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Medical Image Encryption Using Modified Identity Based Encryption

Cited by 5 publications

References 11 publications

Performance Evaluation of AES, ECC and Logistic Chaotic Map Algorithms in Image Encryption

Performance Evaluation of AES, ECC and Logistic Chaotic Map Algorithms in Image Encryption

Secure Real-time Data Transmission for Drone Delivery Services using Forward Prediction Scheduling SCTP

Robustly correlated key‐medical image for DNA‐chaos based encryption

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