2019 International Conference on Communication and Signal Processing (ICCSP)最新文献_第3页

Pairing-Free CP-ABE based Cryptography Combined with Steganography for Multimedia Applications 基于无配对的CP-ABE密码术与多媒体隐写术的结合

2019 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2019-04-04 DOI: 10.1109/ICCSP.2019.8698053

V. Reshma, S. Gladwin, C. Thiruvenkatesan

{"title":"Pairing-Free CP-ABE based Cryptography Combined with Steganography for Multimedia Applications","authors":"V. Reshma, S. Gladwin, C. Thiruvenkatesan","doi":"10.1109/ICCSP.2019.8698053","DOIUrl":"https://doi.org/10.1109/ICCSP.2019.8698053","url":null,"abstract":"Technology development has led to rapid increase in demands for multimedia applications. Due to this demand, digital archives are increasingly used to store these multimedia contents. Cloud is the commonly used archive to store, transmit, receive and share multimedia contents. Cloud makes use of internet to perform these tasks due to which data becomes more prone to attacks. Data security and privacy are compromised. This can be avoided by limiting data access to authenticated users and by hiding the data from cloud services that cannot be trusted. Hiding data from the cloud services involves encrypting the data before storing it into the cloud. Data to be shared with other users can be encrypted by utilizing Cipher Text-Policy Attribute Based Encryption (CP-ABE). CP-ABE is used which is a cryptographic technique that controls access to the encrypted data. The pairing-based computation based on bilinearity is used in ABE due to which the requirements for resources like memory and power supply increases rapidly. Most of the devices that we use today have limited memory. Therefore, an efficient pairing free CP– ABE access control scheme using elliptic curve cryptography has been used. Pairing based computation is replaced with scalar product on elliptic curves that reduces the necessary memory and resource requirements for the users. Even though pairing free CP-ABE is used, it is easier to retrieve the plaintext of a secret message if cryptanalysis is used. Therefore, this paper proposes to combine cryptography with steganography in such a way by embedding crypto text into an image to provide increased level of data security and data ownership for sub-optimal multimedia applications. It makes it harder for a cryptanalyst to retrieve the plaintext of a secret message from a stego-object if steganalysis were not used. This scheme significantly improved the data security as well as data privacy.","PeriodicalId":194369,"journal":{"name":"2019 International Conference on Communication and Signal Processing (ICCSP)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133509521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A Brief Review on: Implementation of Lossless Color Image Compression 彩色图像无损压缩技术的研究进展

2019 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2019-04-04 DOI: 10.1109/ICCSP.2019.8698027

Rutuja Channe, Shrikant Ambatkar, Sandeep Kakde, S. Kamble

引用次数: 3

A Survey on Forecasting Methods by using Various Types of Extreme Learning Machine 基于各种类型极限学习机的预测方法综述

2019 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2019-04-04 DOI: 10.1109/ICCSP.2019.8698061

Adyasha Rath, Debahuti Mishra

引用次数: 0

Design of Radome FSS Antenna for L,S,C and X-band Applications L、S、C、x波段天线罩FSS天线设计

2019 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2019-04-04 DOI: 10.1109/ICCSP.2019.8697936

R. Sowndarya, T. Shanmuganantham

引用次数: 2

Dual Watermarking in Tele-radiology using DWT for Data Authentication and Security 基于DWT的远程放射学双水印数据认证与安全

2019 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2019-04-04 DOI: 10.1109/ICCSP.2019.8697935

K. Vinothini, S. K. Mydhili, S. Periyanayagi, G. Sukanya

{"title":"Dual Watermarking in Tele-radiology using DWT for Data Authentication and Security","authors":"K. Vinothini, S. K. Mydhili, S. Periyanayagi, G. Sukanya","doi":"10.1109/ICCSP.2019.8697935","DOIUrl":"https://doi.org/10.1109/ICCSP.2019.8697935","url":null,"abstract":"Technological development in the field of digital enhancement and computer access has echoed rapid change in simplifying medical imaging and maintaining hospital information system (HIS), including radiology information system (RIS). Digital watermarking is a promising technique which hides the information like images, video or audio on a digital support to provide authentication control, copyright protection, integrity verification of the owner. At earlier stage, cryptography, digital watermarking and steganography methods were used to secure the data transmission over Internet. Tele-radiology is one of the successful medical health services. Although it enabled effective practice of medical service, it has several security issues. In this paper, we intend to develop a novel and proficient implementation of an image watermarking system based on Discrete Wavelet Transform (DWT) for medical data. The approach includes Least Significant Bit (LSB) substitution for finger print encryption and LSB along with block cipher algorithm for medical data encryption. Verification of fingerprint eludes legal disputes like fake users, misuse of data, image retention etc. Compared to the conventional SVD-based watermarking method experimental results of the proposed method based on DWT validate secured transmission for multiple documents of medical data by providing privacy, integrity and authenticity. The proposed method shows better PSNR value and is robust. The proposed strategy is achieved using MATLAB software tool.","PeriodicalId":194369,"journal":{"name":"2019 International Conference on Communication and Signal Processing (ICCSP)","volume":"340 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131563177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Image based Plant Disease Detection in Pomegranate Plant for Bacterial Blight 基于图像的石榴白叶枯病病害检测

2019 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2019-04-04 DOI: 10.1109/ICCSP.2019.8698007

Sharath D M, Akhilesh, S. A. Kumar, Rohan M G, Prathap C

引用次数: 37

Identification of Plant Disease using Image Processing Technique 利用图像处理技术识别植物病害

2019 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2019-04-04 DOI: 10.1109/ICCSP.2019.8698056

Abirami Devaraj, K. Rathan, Sarvepalli Jaahnavi, K. Indira

引用次数: 66

Removal of Powerline Interference from ECG Signal using FIR, IIR, DWT and NLMS Adaptive Filter 利用FIR、IIR、DWT和NLMS自适应滤波器去除心电信号中的电力线干扰

2019 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2019-04-04 DOI: 10.1109/ICCSP.2019.8698112

Shubhankar Saxena, Rohan Jais, M. Hota

引用次数: 27

Recommendation System for Crop Identification and Pest Control Technique in Agriculture 农业作物鉴定与病虫害防治技术推荐系统

2019 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2019-04-04 DOI: 10.1109/ICCSP.2019.8698099

Avinash Kumar, Sobhangi Sarkar, C. Pradhan

引用次数: 52

Video Captioning using Deep Learning: An Overview of Methods, Datasets and Metrics 使用深度学习的视频字幕:方法、数据集和指标概述

2019 International Conference on Communication and Signal Processing (ICCSP) Pub Date : 2019-04-04 DOI: 10.1109/ICCSP.2019.8698097

M. Amaresh, S. Chitrakala

{"title":"Video Captioning using Deep Learning: An Overview of Methods, Datasets and Metrics","authors":"M. Amaresh, S. Chitrakala","doi":"10.1109/ICCSP.2019.8698097","DOIUrl":"https://doi.org/10.1109/ICCSP.2019.8698097","url":null,"abstract":"In recent years, automatically generating natural language descriptions for videos has created a lot of focus in computer vision and natural language processing research. Video understanding has several applications such as video retrieval and indexing etc., but the video captioning is the quite challenging topic because of the complex and diverse nature of video content. However, the understanding between video content and natural language sentence remains an open problem to create several methodology to better understand the video and generate the sentence automatically. Deep learning methodologies have increased great focus towards video processing because of their better performance and the high-speed computing capability. This survey discusses various methods using the end-to-end framework of encoder-decoder network based on deep learning approaches to generate the natural language description for video sequences. This paper also addresses the different dataset used for video captioning and image captioning and also various evaluation parameters used for measuring the performance of different video captioning models.","PeriodicalId":194369,"journal":{"name":"2019 International Conference on Communication and Signal Processing (ICCSP)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116579996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16