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| 1 | Securing Technique Using Pattern-Based LSB Audio Steganography and Intensity-Based Visual Cryptography显示文摘With the increasing need of sensitive or secret data transmission through public network,security demands using cryptography and steganography are becoming a thirsty research area of last few years.These two techniques can be merged and provide better security which is nowadays extremely required.The proposed system provides a novel method of information security using the techniques of audio steganography combined with visual cryptography.In this system,we take a secret image and divide it into several subparts to make more than one incomprehensible sub-images using the method of visual cryptography.Each of the sub-images is then hidden within individual cover audio files using audio steganographic techniques.The cover audios are then sent to the required destinations where reverse steganography schemes are applied to them to get the incomprehensible component images back.At last,all the sub-images are superimposed to get the actual secret image.This method is very secure as it uses a two-step security mechanism to maintain secrecy.The possibility of interception is less in this technique because one must have each piece of correct sub-image to regenerate the actual secret image.Without superimposing every one of the sub-images meaningful secret images cannot be formed.Audio files are composed of densely packed bits.The high density of data in audio makes it hard for a listener to detect the manipulation due to the proposed time-domain audio steganographic method. | Pranati Rakshit Sreeparna Ganguly Souvik Pal Ayman AAly Dac-Nhuong Le | 2021 | Computers, Materials & Continua2021，，4： | 1 |
| 2 | Human enterovirus isolatesfrom an outbreak typed using hetereduplex mobility analysis 显示文摘 | Clancy LE Craig ME White PAL Rawlinson WD | 2005 | J Med Virol2005，76，2： | 1 |
| 3 | Memetic Optimization with Cryptographic Encryption for Secure Medical Data Transmission in IoT-Based Distributed Systems显示文摘In the healthcare system,the Internet of Things(IoT)based distributed systems play a vital role in transferring the medical-related documents and information among the organizations to reduce the replication in medical tests.This datum is sensitive,and hence security is a must in transforming the sensational contents.In this paper,an Evolutionary Algorithm,namely the Memetic Algorithm is used for encrypting the text messages.The encrypted information is then inserted into the medical images using Discrete Wavelet Transform 1 level and 2 levels.The reverse method of the Memetic Algorithm is implemented when extracting a hidden message from the encoded letter.To show its precision,equivalent to five RGB images and five Grayscale images are used to test the proposed algorithm.The results of the proposed algorithm were analyzed using statistical methods,and the proposed algorithm showed the importance of data transfer in healthcare systems in a stable environment.In the future,to embed the privacy-preserving of medical data,it can be extended with blockchain technology. | Srinath Doss Jothi Paranthaman Suseendran Gopalakrishnan Akila Duraisamy Souvik Pal Balaganesh Duraisamy Chung Le Van Dac-Nhuong Le | 2021 | Computers, Materials & Continua2021，，2： | 0 |
| 4 | Dynamic Data Optimization in IoT-Assisted Sensor Networks on Cloud Platform显示文摘This article presents a new scheme for dynamic data optimization in IoT(Internet of Things)-assisted sensor networks.The various components of IoT assisted cloud platform are discussed.In addition,a new architecture for IoT assisted sensor networks is presented.Further,a model for data optimization in IoT assisted sensor networks is proposed.A novel Membership inducing Dynamic Data Optimization Membership inducing Dynamic Data Optimization(MIDDO)algorithm for IoT assisted sensor network is proposed in this research.The proposed algorithm considers every node data and utilized membership function for the optimized data allocation.The proposed framework is compared with two stage optimization,dynamic stochastic optimization and sparsity inducing optimization and evaluated in terms of reliability ratio,coverage ratio and sensing error.Data optimization was performed based on the availability of cloud resource,sensor energy,data flow volume and the centroid of each state.It was inferred that the proposed MIDDO algorithm achieves an average performance ratio of 76.55%,reliability ratio of 94.74%,coverage ratio of 85.75%and sensing error of 0.154. | Nguyen A.Tuan D.Akila Souvik Pal Bikramjit Sarkar Thien Khai Tran G.Mothilal Nehru Dac-Nhuong Le | 2022 | Computers, Materials & Continua2022，，7： | 0 |
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