Image Security System using Encryption and Steganography

Rani, Apoorva Arora Pooja

doi:10.15680/ijirset.2015.0406008

Cited by 4 publications

(1 citation statement)

References 5 publications

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“…Chronic bronchitis and emphysema are the most prevalent manifestations of COPD. It is crucial to diagnose and treat COPD in its early stages since individuals with this condition are at greater risk of developing heart, lung, and other related health problems [1,2] .…”

Section: Introductionmentioning

confidence: 99%

A review on diagnosis of chronic obstructive pulmonary disease

Daware¹

2023

JMPAS

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Chronic obstructive pulmonary disease is a significant state that leads to progressive airflow obstruction and subsequent irreversible damage to the airways. It is a major factor causing death and has a very high mortality rate worldwide. In recent years, the mortality rate has increased due to Chronic obstructive pulmonary disease (COPD) and it is estimated to increase in the coming years. This paper reviews the emerging techniques using these technologies that can be used to detect and monitor the severity of chronic obstructive pulmonary disease. The Internet of Things can help to detect and monitor the condition of a patient suffering from chronic obstructive pulmonary disease using sensors which are used to measure a particular parameter like concentration of different gases present in the exhaled breath and ensure that his condition doesn’t get worse. Using an Artificial Intelligence and Machine Learning based approach, a system can be developed where the data is collected from sensors, followed by pre-processing and feature extraction for further estimation using a model to identify a person suffering from this disease. The conventional methods used by medical practitioners for the detection of this disease are expensive, time consuming as a lot of tests are to be performed and can cause exposure to radiation. Therefore, research has been carried out in recent years to find other ways to detect this disease. It has been found that with the help of advancing technologies such as Internet of Things, Artificial Intelligence, Machine Learning and Signal processing techniques, it is possible to develop an easy, fast, non-invasive and cost-effective system that would help to diagnose and detect this disease and provide accurate results.

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Section: Introductionmentioning

confidence: 99%

A review on diagnosis of chronic obstructive pulmonary disease

Daware¹

2023

JMPAS

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Secure E-Health using Images Steganography

Manikandan¹,

Muruganandham

Babuji

et al. 2021

J. Phys.: Conf. Ser.

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The main aim is to secure the medical records by ensuring safe communication between the sender and the receiver by adding multiple layers of security. This project is a combined approach of both encryption and steganography to give security the utmost importance. In the sender, only the authorized person can send the secret image to the receiver. In the first stage, an image steganography system is processed using confidential medical X-ray images which are hidden under the cover images. The encryption method used is based on Random Number Generator and the pixel indicator, in other words, by moving the position of the pixel in the image to encrypt the image on the transmitting side. Whereas on the receiver side, this project proposes a method to authenticate the receiver by incorporating Email Authentication and OTP Verification to decrypt the encrypted image.

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