2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)最新文献_第3页

Automated analysis of Gaze Patterns for Autism Screening- Density Approach 自闭症筛查凝视模式的自动分析-密度方法

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703321

P. Bhatia, A. Khosla, Gajendra Singh

引用次数: 1

Secure QR-Code Based Message Sharing System Using Cryptography and Steganography 基于安全qr码的信息共享系统

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703311

A. Mendhe, D. Gupta, K. P. Sharma

引用次数: 6

Item-Based Collaborative Filtering in Movie Recommendation in Real time 基于项目的实时电影推荐协同过滤

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703362

Mukesh Kumar Kharita, Atul Kumar, Pardeep Singh

{"title":"Item-Based Collaborative Filtering in Movie Recommendation in Real time","authors":"Mukesh Kumar Kharita, Atul Kumar, Pardeep Singh","doi":"10.1109/ICSCCC.2018.8703362","DOIUrl":"https://doi.org/10.1109/ICSCCC.2018.8703362","url":null,"abstract":"Collaborative filtering is one of the most effective and adequate technique used in recommendation. The fundamental aim of the recommendation is to provide prediction of the different items in which a user would be interested in based on their preferences. Recommendation systems based on collaborative filtering techniques are able to provide approximately accurate prediction when there is enough data. User based collaborative filtering taechniques have been very powerful and success in the past to recommend the items based on user’s preferences. But, there are also some certain challenges such as scalability and sparsity of data which increases as the number of users and items increases. In a large website, it is difficult to find the interested information in a certain time. But the recommendation system filter out information and items that are best suitable for us. Although there are different recommendation approaches, yet collaborative filtering technique is very popular because of the effectiveness. In this work, movie recommender system has been described, which basically uses item-based technique of collaborative filtering to provide the recommendations of items, which is dynamic and will learn from the positive feedback.","PeriodicalId":148491,"journal":{"name":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","volume":"19 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":"125588800","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: 20

Predictive Analysis of Medical Data using a Hybrid Machine Learning Technique 使用混合机器学习技术的医疗数据预测分析

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703302

Pushpendra Singh Rajawat, D. Gupta, S. Rathore, Avtar Singh

引用次数: 8

Design and Implementation of Smart Wheelchair for Quadriplegia patients using IOT 基于物联网的四肢瘫痪患者智能轮椅的设计与实现

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703354

Umang Garg, K. Ghanshala, R. Joshi, Rahul Chauhan

引用次数: 14

Restoration of Image from Deterioration Using Image Inpainting 使用图像修复从退化图像

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703203

Varuni Garg, Dr. Renu Dhir

引用次数: 0

Sensor Fusion Algorithm For Software Based Advanced Driver-Assistance Intelligent Systems 基于软件的高级驾驶员辅助智能系统传感器融合算法

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703269

P. Kaur, R. Sobti

{"title":"Sensor Fusion Algorithm For Software Based Advanced Driver-Assistance Intelligent Systems","authors":"P. Kaur, R. Sobti","doi":"10.1109/ICSCCC.2018.8703269","DOIUrl":"https://doi.org/10.1109/ICSCCC.2018.8703269","url":null,"abstract":"The diversity of smart and cognitively intelligent features integrated into the modern contemporary cars is rising rapidly. Intelligent cooperative driving is one of the several applications of the IOT field in which cars interact with other vehicles on road and provide a streamlined flow of traffic smartly. The main ingredients for making this technology successful are the sensing devices mounted on every vehicle. The main purpose of this paper is to discuss the safety of future autonomous vehicles which will be sharing information of impending hazards on road with other cars. The paper provides an overview of several problems, uncertainties, and inaccuracies emerging from sensor data fusion during car-to-car interaction in autonomous vehicles. The rate at which some sensors update their information is different for different sensors which lead to incorrect scene comprehension. Several survey report results are provided showing evidence of future sensor usage in the automotive market which accounts for billions of dollars. Safety in smart cars can be guaranteed if they communicate information unambiguously to nearby cars in their vicinity.","PeriodicalId":148491,"journal":{"name":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","volume":"38 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":"133615493","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

ROI and Non-ROI based Medical Image Compression Techniques: A Survey and Comparative Review 基于ROI和非ROI的医学图像压缩技术:综述和比较综述

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703337

R. Kaur, Rajneesh Rani

引用次数: 4

Multi-Layered Attack Recognition (MLAR) Model to Protect Cloud From EDOS Attacks 保护云免受dos攻击的多层攻击识别(MLAR)模型

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703328

Yashika Arora

{"title":"Multi-Layered Attack Recognition (MLAR) Model to Protect Cloud From EDOS Attacks","authors":"Yashika Arora","doi":"10.1109/ICSCCC.2018.8703328","DOIUrl":"https://doi.org/10.1109/ICSCCC.2018.8703328","url":null,"abstract":"In this paper, the work is carried upon the security of cloud computing environment from the economic denial of service (EDOS) attacks. The cloud computing environments have become popular in the past decade, as number of businesses has shifted their work online to the cloud. The cloud service providers offer the maximum uptime for their users, which is committed in the form of service level agreements (SLAs). The uptime is the term used to indicate the availability of the cloud computing resources for client’s application to run its processes. If at any point, the client application is not able to run its operations due to non-availability of resources, it is considered as the downtime, which is negative to the uptime and considered as SLA violation. The SLAs keep the information about the SLA violations and their settlements, which is considered as the loss of the cloud service providers. For example, the uptime of 99.99% is committed by cloud service provider, and due to any internal or external reason, achieved uptime is lower than committed value, the cloud service provider may face a penalty as per defined in the SLA, which is considered direct profit loss for the service provider. In order to reduce the financial losses due to the EDOS attacks, the proposed model is designed by combining the periodic authentication, pattern analysis and data flow control mechanisms to prevent the cloud from attacks. The proposed Multi-Layered Attack Recognition (MLAR) Model has outperformed the existing controlled access based EDOS (CA-EDOS) prevention model on the basis of resource utilization and response delay parameters.","PeriodicalId":148491,"journal":{"name":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","volume":"51 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":"121401530","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

Breast Cancer Detection Through Gabor Filter Based Texture Features Using Thermograms Images 基于Gabor滤波的热像图纹理特征乳腺癌检测

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) Pub Date : 2018-12-01 DOI: 10.1109/ICSCCC.2018.8703342

A.A. Khan, A. Arora

{"title":"Breast Cancer Detection Through Gabor Filter Based Texture Features Using Thermograms Images","authors":"A.A. Khan, A. Arora","doi":"10.1109/ICSCCC.2018.8703342","DOIUrl":"https://doi.org/10.1109/ICSCCC.2018.8703342","url":null,"abstract":"The mortality rates in women is highest due to breast cancer among other all the cancers in developed as well as in developing countries. As evident from the facts that mortality rate of 12.7 among 1, 00, 000 in India [1] and whereas in USA, estimated deaths of 40,610 women i.e. 6.8% of all cancer deaths in 2017. Mammography is considered to be the most accepted technique for breast cancer detection. In this paper, thermography is explored as a viable alternative to the mammography. As mammography has its own drawbacks of being a painful procedure, exposure of the body to harmful Xrays. This necessitates in exploring the other modalities preferably non-contact and without using any harmful radiations. Thermography is coming out to be an alternative to the standard mammography with advantages of being noninvasive, safe, portability and cost effectiveness. The temperature pattern of the breasts changes as a result of the high increased blood flow into affected cells. This gives the way to asymmetry between normal and cancerous breast which can be detected using different techniques. In this paper, 35 normal and 35 abnormal thermograms are taken from on line DMRDatabase for Mastology Research having breast thermograms for early detection of breast cancer. The texture features of the left and right breasts are extracted using Gabor filters. The thermograms are then classified using support vector machine (SVM) based on the textural asymmetry between the breasts into normal and cancerous cases. The accuracy achieved using Gabor features and SVM classifier is 84.5% The early detection of cancer using thermography increases the survival chances of the patient considerably as it can detect the cancer in initial stages.","PeriodicalId":148491,"journal":{"name":"2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)","volume":"1 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":"128819576","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: 9