2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)最新文献_第9页

A Review of Biometric based Authentication for MANET 基于生物特征的MANET认证研究综述

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745982

Vandana, Navdeep Kaur

{"title":"A Review of Biometric based Authentication for MANET","authors":"Vandana, Navdeep Kaur","doi":"10.1109/PDGC.2018.8745982","DOIUrl":"https://doi.org/10.1109/PDGC.2018.8745982","url":null,"abstract":"Security and ease of access have become the most basic demand of any service provider community whether it is a social media, a communication network or a wireless network. Everyone living on this planet wants an easy access to the things that are available in this world but at the similar time, they also want it to be safe. Normally, security authentication measures cannot be termed as safe for several sorts of the transaction within the network. It's a world of biometrics, the questions that arise here is that how a biometric would be used when any network security transaction comes into action. There are several threats in Mobile Adhoc Network (MANET) such as Black-hole attack, Worm-hole attack, Sybil attack and so on. Saving every single node is not a responsibility of the network administrator until and unless the node is authentic, i.e. that particular node is really a part of the network. This paper covers a brief overview of the Unimodal and Multimodal biometrics on MANET, their characteristics; applications and the relation of both of them. Various attacks on the MANET network and its layer are also illustrated. The domain of biometric authentication is briefly given.","PeriodicalId":303401,"journal":{"name":"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124807593","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: 0

Functional words removal techniques: A review 虚词去除技术综述

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745904

S. Gandotra, B. Arora

引用次数: 1

A Review on Lightweight Node Authentication Algorithms in Wireless Sensor Networks 无线传感器网络中轻量级节点认证算法研究进展

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745800

Vandana Mohindru, Yashwant Singh, Ravindara Bhatt

引用次数: 4

Secure Authentication Protocol for 5G Enabled IoT Network 5G物联网安全认证协议

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745799

Suraj Sharma, S. Satapathy, Shivani Singh, A. K. Sahu, M. Obaidat, Sanjay Saxena, Deepak Puthal

{"title":"Secure Authentication Protocol for 5G Enabled IoT Network","authors":"Suraj Sharma, S. Satapathy, Shivani Singh, A. K. Sahu, M. Obaidat, Sanjay Saxena, Deepak Puthal","doi":"10.1109/PDGC.2018.8745799","DOIUrl":"https://doi.org/10.1109/PDGC.2018.8745799","url":null,"abstract":"The rapid growth of Internet of Things(IoT) along with wide range of applications made IoT popular. Moreover, the network connectivity and communication support is provided by 5G technology. The mobile technology is also becoming the essential component of Social life, which is also becoming the essential interface for IoT. Various services of IoT may be availed from IoT server, which are enabled with 5G network technology. The IoT service access would require a intermediate access network to connect to 5G, and access network may be publicly accessible. Hence, there exists security threat to user's data. Here, In this paper, We provided an application layer security protocol to mitigate all those attacks originating from public access network. We have also tested the security protocol by an automated security testing tool, Scyther. The security protocol exhibits Secrecy, Aliveness, Non-Injective Agreement, and Non-Inective Synchronization. The protocol is resistant to various attacks, which could originate from Confidentiality, Integrity and Availability. The user-credentials and services-request are secretly communicated, thereby preserving the privacy.","PeriodicalId":303401,"journal":{"name":"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125479944","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

Network flow Optimization through Monte Carlo Simulation 通过蒙特卡罗模拟优化网络流量

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745965

S. Hande, Prasoon Patidar, Sachin Meena, Saurabh Banerjee

引用次数: 0

Brain Tumor Segmentation by Texture Feature Extraction with the Parallel Implementation of Fuzzy C-Means using CUDA on GPU 基于GPU的模糊c均值并行实现纹理特征提取脑肿瘤分割

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745726

Sanjay Saxena, Suraj Shama

{"title":"Brain Tumor Segmentation by Texture Feature Extraction with the Parallel Implementation of Fuzzy C-Means using CUDA on GPU","authors":"Sanjay Saxena, Suraj Shama","doi":"10.1109/PDGC.2018.8745726","DOIUrl":"https://doi.org/10.1109/PDGC.2018.8745726","url":null,"abstract":"Exact segmentation of the brain tumor is one of the imperative tasks in medical image processing and its analysis as it deals with extracting the information of the tumorous region from the brain MRI sequences. Automated segmentation and detection of brain tumors from the brain MRI is an exigent issue caused by the texture, size, shape, and location. In this paper, a significant method of brain tumor segmentation from the FLAIR MRI sequences is by classifying local window followed by parallel fuzzy c means clustering. Fuzzy c-means methods have shown their efficiency in extracting a variety of objects in several medical image processing applications. However, one of the major issues of these algorithms is high computational requirements at the time of dealing with large data set. Nowadays, NVIDIA's GPU plays an extremely essential role in implementing such time-consuming algorithms to reduce the time complexity. Our experiments based on NCI-MICCAI BRATS 2017 FLAIR MRI of HGG (High-Grade Glioma) demonstrate the efficiency of the implemented parallel algorithm. For the segmentation of tumorous region, a mechanism of sliding window is implemented on CPU (host) in which a 45 × 45 sized window is taken to classify whether that particular window is having tumor region or not. For perfect segmentation at the GPU (device) side, fuzzy c means technique is used to get the exact location of the tumor. Approx 17.6 speed up obtained, for the BRATS data sets over the implementation of the algorithm on CPU. Apart from speed up significant dice similarity coefficients are obtained which shows the efficient segmentation in the reasonable time.","PeriodicalId":303401,"journal":{"name":"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134070007","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: 3

Geo-spatial Clustering of Sentiments on Social Media 社交媒体上情感的地理空间聚类

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745980

Ayushi Verma, Deepanshi, Anjali Chauhan, Adwitiya Sinha

引用次数: 3

An Innovative Ghost Power Wastage Reduction System 一个创新的幽灵电力浪费减少系统

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745974

Animesh Srivastava, L. Kumar, Rittwik Sood, Aniket Srivastava, Shubham Sharma

引用次数: 1

A Review on Data locality in Hadoop MapReduce Hadoop MapReduce数据局部性研究综述

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745928

Anil Sharma, Gurwinder Singh

引用次数: 4

Extraction of Features from Breast Cancer Mammogram Image Using Some Image Processing Techniques 基于图像处理技术的乳腺癌乳房x光图像特征提取

2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC) Pub Date : 2018-12-01 DOI: 10.1109/PDGC.2018.8745891

Dakshya Prasad Pati, S. Panda

{"title":"Extraction of Features from Breast Cancer Mammogram Image Using Some Image Processing Techniques","authors":"Dakshya Prasad Pati, S. Panda","doi":"10.1109/PDGC.2018.8745891","DOIUrl":"https://doi.org/10.1109/PDGC.2018.8745891","url":null,"abstract":"Breast cancer is a major root cause of death in most cancer affected women and every year millions of women are dying around the globe because of this deadly disease. Now-a-days various image processing techniques are used to extract the features from mammogram image. Mammograms are X-ray images of the breast which are used to visualize the early sign of breast cancer. Oncologists are using various images processing technique for effective decisions making, by comparing the mammographic images. Microcalcifications are small calcium deposits that look like white specks on mammogram. These are usually not a result of cancer but if they appear in certain pattern and cluster together, can lead to early stage of cancer. Different image processing technique can be used for detecting these microcalcification. The aim of the paper is to detect the cancerous cells by the use of different existing image filter with their comparisons of output performance and the advantages of this method is future predictions of breast cancer. If the cancer cells are detected at early stage, many precious lives can be saved.","PeriodicalId":303401,"journal":{"name":"2018 Fifth International Conference on Parallel, Distributed and Grid Computing (PDGC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124721358","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: 0