Medical Image Encryption Into Smart Healthcare IOT System

Medical images are one of the most critical and sensitive types of data in information systems. For the secure storage and transfer of medical images, confidentiality is the most important aspect. This paper presents efficient embedding technique to enhance medical image security. The Gaussian filters are used as preprocessing to remove high frequency components and then applied to cumulative distribution function (CDF) 5/3 wavelet to obtain LL band features. Similarly, the LL band features of cover image are obtained. The alpha bending technique combines both the LL band features of cover and secret image to form first level of encryption and now with other high frequency bands of LH, HL and HH applied to Inverse CDF 5/3 obtains an encrypted image which is then transferred along with key obtained through other bands of LH, HL and HH. The key generated acts as additional level of security and similarly, at the receiver the opposite operations are performed to obtain the original secrete image. The performance is measured in terms of Peak signal-to-noise ratio (PSNR) and is compared with existing techniques to validate the results. Further, the entire architecture is synthesized on spartan 6 field-programmable gate array (FPGA) board to compare the hardware utilizations.

show abstract

“…Khan et al [21] proposed medical image encryption in smart healthcare IoT systems. This project aims to secure medical data via image encryption.…”

Section: Literature Surveymentioning

confidence: 99%

Efficient reconfigurable architecture to enhance medical image security

Marakumbi¹,

Bhairannawar

2023

IJEECS

View full text Add to dashboard Cite

show abstract

“…UAV communication link [35] The wireless networking technology called MAVLink (short for Micro Air Vehicle Link) enables entities to communicate with one another. Bidirectional communication between a ground control station and a drone is possible through the use of this technology [36]. The GCS instructs and controls the drone, while the drone feeds telemetry and status data back to the GCS.…”

Section: Fig 1 Mavlink Security Attacks [31] Security Of Drone Commun...mentioning

confidence: 99%

“…There is a limit to how far an unmanned aerial vehicle can fly if there is a high packet loss rate. Figure 3 [36]depicts the overall process.…”

Section: Fig 1 Mavlink Security Attacks [31] Security Of Drone Commun...mentioning

confidence: 99%

DMAV: Enhanced MAV Link Protocol Using Dynamic DNA Coding for Unmanned Aerial Vehicles

Kassim

Hashem

2022

Int. J. Onl. Eng.

View full text Add to dashboard Cite

In the modern era, new and innovative ways of securing data and communications are continuously developing. One such recent development is using the concept of DNA as a means of data encryption. In this work, we propose a new approach to encrypt data and communications on the MAVLink protocol for unmanned aerial vehicles (UAVs) using a lightweight GIFT algorithm and dynamic DNA coding (with binary bits). MAVLink is a communication protocol for UAVs, which is currently unencrypted and can easily be intercepted by anyone. As such, a secure MAVLink protocol has long been needed in the UAV industry. We describe a novel secure communication protocol for UAVs using dynamic DNA coding to encrypt MAVLink packets, which we call DMAV. Experimental results show that this novel means of securing the MAVLink protocol performs better than the traditional method (i.e., using public and private key cryptography). Therefore, the proposed approach could potentially change the way secure communications are conducted between UAVs in the future.

show abstract

“…This rapid advancement in IoT technology facilitates the patients to get consulted by clinicians worldwide. Patient information like X-rays, scan report, clinical test reports etc., can be forwarded via internet while most of the clinical data remain in image format [1]. In general, information communicated via internet is prone to attacks and vulnerabilities.…”

Section: Introductionmentioning

confidence: 99%

Improved Multileader Optimization with Shadow Encryption for Medical Images in IoT Environment

Duhayyim¹,

Maray²,

Qahmash³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

Nowadays, security plays an important role in Internet of Things (IoT) environment especially in medical services' domains like disease prediction and medical data storage. In healthcare sector, huge volumes of data are generated on a daily basis, owing to the involvement of advanced health care devices. In general terms, health care images are highly sensitive to alterations due to which any modifications in its content can result in faulty diagnosis. At the same time, it is also significant to maintain the delicate contents of health care images during reconstruction stage. Therefore, an encryption system is required in order to raise the privacy and security of healthcare data by not leaking any sensitive data. The current study introduces Improved Multileader Optimization with Shadow Image Encryption for Medical Image Security (IMLOSIE-MIS) technique for IoT environment. The aim of the proposed IMLOSIE-MIS model is to accomplish security by generating shadows and encrypting them effectively. To do so, the presented IMLOSIE-MIS model initially generates a set of shadows for every input medical image. Besides, shadow image encryption process takes place with the help of Multileader Optimization (MLO) with Homomorphic Encryption (IMLO-HE) technique, where the optimal keys are generated with the help of MLO algorithm. On the receiver side, decryption process is initially carried out and shadow image reconstruction process is conducted. The experimentation analysis was carried out on medical images and the results inferred that the proposed IMLOSIE-MIS model is an excellent performer compared to other models.

show abstract

Medical Image Encryption Into Smart Healthcare IOT System

Cited by 10 publications

References 13 publications

Efficient reconfigurable architecture to enhance medical image security

Efficient reconfigurable architecture to enhance medical image security

DMAV: Enhanced MAV Link Protocol Using Dynamic DNA Coding for Unmanned Aerial Vehicles

Improved Multileader Optimization with Shadow Encryption for Medical Images in IoT Environment

Contact Info

Product

Resources

About