2018 3rd International Conference on Contemporary Computing and Informatics (IC3I)最新文献

Extracting relationship between browser history items for improved client-side analytics and recommendations 提取浏览器历史记录项之间的关系，以改进客户端分析和推荐

2018 3rd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2018-10-01 DOI: 10.1109/IC3I44769.2018.9007258

Goutham Reddy Kotapalle, Harish Kandala, Krishna Shravya Gade

{"title":"Extracting relationship between browser history items for improved client-side analytics and recommendations","authors":"Goutham Reddy Kotapalle, Harish Kandala, Krishna Shravya Gade","doi":"10.1109/IC3I44769.2018.9007258","DOIUrl":"https://doi.org/10.1109/IC3I44769.2018.9007258","url":null,"abstract":"Web browsers are one of the most used client-side software in today’s world and maintaining the details of the user’s search is one of the primary tasks of today’s browsers. However, the browsing history management methodologies that are currently used to save and visualize the details of the user’s search can be improved by a great extent to make it a lot easier for the user to browse data over the internet. The techniques used by the modern browsers in doing so are, to an extent, inefficient due to the fact that they only show a serial list of URLs the user queried for and the time at which they were queried with no details of how the user actually ended up reaching a particular page. The primary issue with such methodologies is that the browsers do not maintain the details of the relationship between various history items. This paper provides a solution to this issue with a practical implementation of a client-side browser history management extension that solves the above-mentioned problems and hence describes how the user’s browsing experience can be enhanced.","PeriodicalId":161694,"journal":{"name":"2018 3rd International Conference on Contemporary Computing and Informatics (IC3I)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115539426","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

Automatic Naming of Clusters: A Novel Approach using Information Extracted from Instant Text Messages 聚类自动命名:一种利用即时文本信息提取信息的新方法

2018 3rd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2018-10-01 DOI: 10.1109/IC3I44769.2018.9007275

Gopa Kumar, N. Vaishnav

{"title":"Automatic Naming of Clusters: A Novel Approach using Information Extracted from Instant Text Messages","authors":"Gopa Kumar, N. Vaishnav","doi":"10.1109/IC3I44769.2018.9007275","DOIUrl":"https://doi.org/10.1109/IC3I44769.2018.9007275","url":null,"abstract":"Instant messages are abundant in today’s world. Typically, around 55 billion text messages are exchanged over these platforms every day. These represent a huge source of information from which useful knowledge can be mined. Instant messages are an accurate description of each user’s characteristics and interests. Right from waking up in the morning to hitting the bed at night, people share everything with their closed ones via an Instant messaging platform. These, therefore give profound insights about a person’s different interests and their preferences towards certain entities over others. In addition to being unstructured, these instant messages present new challenges in the form of shortenings, contractions, letter/number homophones, all of which require dedicated pre-processing steps. First, the characteristics of these instant messages are discussed. Subsequently, the approaches to deal with these challenges are reviewed. Second, this data is used to cluster people of similar interests together. These clusters have to be named by a domain expert in order to gain insights and the naming becomes challenging when the dimensions of the data points increases. This problem is dealt with in the next section where useful features are extracted from the clusters in order to output a unique legitimate name for each cluster. In addition, these steps are elaborated using an unknown dataset and the working of the algorithm is demonstrated on a known dataset for validation.","PeriodicalId":161694,"journal":{"name":"2018 3rd International Conference on Contemporary Computing and Informatics (IC3I)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132822128","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

Finding out the needy one from Tweets : An analysis using #kerelafloods 从推特中找出需要帮助的人:使用#kerelafloods进行分析

2018 3rd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2018-10-01 DOI: 10.1109/IC3I44769.2018.9007270

R. Ranjan, H. Sarma, Navanath Saharia

引用次数: 1

A Healthcare management using clinical decision support system 使用临床决策支持系统的医疗保健管理

2018 3rd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2018-10-01 DOI: 10.1109/IC3I44769.2018.9007272

Likewin Thomas, M. V. Manoj kumar, Annappa

{"title":"A Healthcare management using clinical decision support system","authors":"Likewin Thomas, M. V. Manoj kumar, Annappa","doi":"10.1109/IC3I44769.2018.9007272","DOIUrl":"https://doi.org/10.1109/IC3I44769.2018.9007272","url":null,"abstract":"From the literature it is studied that, most of the medical error is due to faulty healthcare system. Due to this, there is treatment delay, that leads to complications in later stages of disease progression. Medical error caused due to the failure in healthcare system can be reduced by employing an appropriate clinical decision support system (CDSS). CDSS helps in identifying the severity of disease by predicting its progression. The treatment management of gallstone disease is considered as a case study in this paper.This paper presents a CDSS with the help of machine learning for improving the treatment management. CDSS with the help of a statistical comparator, identifies an efficient tool for finding the associated risk factors. These risk factors are then used to predict the disease progression and identify the cases that may need Endoscopic Retrograde Cholangio-Pancreatography (ERCP) as the treatment progresses. The model that learns and predicts accurately is selected, using the concept of Area Under Curve (AUC). For this purpose, a Modified Cascade Neural Network (ModCNN) built upon the architecture of Cascade-Correlation Neural Network (CCNN) is proposed and tested using an ADAptive LInear NEuron (ADALINE) circuit. It’s performance is evaluated and compared with Artificial Neural Network (ANN) and CCNN.Using this prediction information, disease progression is analysed and proper treatment is initiated, thereby reducing the medical error. ModCNN showed better accuracy (96.42%) for predicting the disease progression when compared with CCNN (93.24%) and ANN (89.65%). Thus, CDSS presented here, assisted in reducing the medical error and providing better healthcare management.","PeriodicalId":161694,"journal":{"name":"2018 3rd International Conference on Contemporary Computing and Informatics (IC3I)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115037659","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

An Enhanced Secure Authentication and Key Agreement Scheme for LTE Networks 一种增强的LTE网络安全认证与密钥协议方案

2018 3rd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2018-10-01 DOI: 10.1109/IC3I44769.2018.9007283

P. Panda, S. Chattopadhyay

引用次数: 1

Biometric Signature Authentication Scheme with RNN (BIOSIG_RNN) Machine Learning Approach 基于RNN (BIOSIG_RNN)机器学习的生物特征签名认证方案

2018 3rd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2018-10-01 DOI: 10.1109/IC3I44769.2018.9007284

Abhishek Jain, K. Tripathi

{"title":"Biometric Signature Authentication Scheme with RNN (BIOSIG_RNN) Machine Learning Approach","authors":"Abhishek Jain, K. Tripathi","doi":"10.1109/IC3I44769.2018.9007284","DOIUrl":"https://doi.org/10.1109/IC3I44769.2018.9007284","url":null,"abstract":"In healthcare cloud base management is consider as effective way for data management in health care. Health care management underlies major problem of data security. Data security increases fraudulence activity in medical, tax, and bank, insurance. Data retrieval improves data security for secure data access in medical and health care service. Hence, it is necessary to enhance the security in health care data base for password and token theft. Here, cloud based healthcare data management service, namely, HealthCloud is proposed that ensures higher level of security for e-medical data through biometric behavioral signature authentication. A novel Biometric Signature Authentication scheme is being proposed using Recurrent Neural Network (BIOsig_RNN) for secure and retrieval of data access. For collected biometric signature samples BIOsig_RNN utilizes Machine Learning framework is utilized to train the signature samples for better authentication. It uses recurrent neural network (RNN) to support the Machine Learning framework based on statistical dataset learning. Experimental analysis of proposed approach exhibits increased sensitivity and specificity rate of 0.98 and 0.95, respectively. Comparison with other state of art methods shows that the HealthCloud management system attains better performance as compared to existing methods and system.","PeriodicalId":161694,"journal":{"name":"2018 3rd International Conference on Contemporary Computing and Informatics (IC3I)","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115779489","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: 1

ARM using Apriori with pretend Temporal database portioned Slant in weka tool ARM在weka工具中使用Apriori和假装时态数据库，并将其划分为倾斜

2018 3rd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2018-10-01 DOI: 10.1109/IC3I44769.2018.9007278

Murali Bharatham, Nagalakshmi

引用次数: 0

A Study of the Design Architectures of Configurable Processors for the Internet of Things 面向物联网的可配置处理器设计体系结构研究

2018 3rd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2018-10-01 DOI: 10.1109/IC3I44769.2018.9007256

Ishfaq Sultan, M. T. Banday

{"title":"A Study of the Design Architectures of Configurable Processors for the Internet of Things","authors":"Ishfaq Sultan, M. T. Banday","doi":"10.1109/IC3I44769.2018.9007256","DOIUrl":"https://doi.org/10.1109/IC3I44769.2018.9007256","url":null,"abstract":"The Internet of Things involves ubiquitous diffusion of processors consisting of small Integrated Circuits having sensing and actuation capabilities. These processors combined with embedded microprocessor core(s) are used for control, communication, and information processing. An Internet of Things processor has to meet various challenges such as low power consumption, limited battery power, limited memory space, high performance, low cost, and desired security. Besides computation and communication needs, Internet of Things applications considerably differs in the scale of interaction with the environment. Specific applications enforce additional constraints for the Internet of Things processors, such as environment invisibility, ruggedness and timing properties imposed by real-time events in the environment they are embedded. The new class of processors needs a step function enhancement in power and performance efficiency composed of strong reliability and security requirements. The processors running the Internet of Things applications must evolve to sustain the varying requirements emerging out of the new use cases in the electronics market. The configurable and extensible processors are the next generation in the processor family tree. This paper discusses the processor characteristics required for the Internet of Things applications and the possible configurations to meet the growing demands of the processor market. Some possible processor configurations required for the Internet of Things applications are discussed, and architecture of two configurable processors is also explained in detail.","PeriodicalId":161694,"journal":{"name":"2018 3rd International Conference on Contemporary Computing and Informatics (IC3I)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129629667","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: 2

Analyzing Detection Avoidance of Malware by Process Hiding 基于进程隐藏的恶意软件检测规避分析

2018 3rd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2018-10-01 DOI: 10.1109/IC3I44769.2018.9007293

Mariya Shafat Kirmani, M. T. Banday

{"title":"Analyzing Detection Avoidance of Malware by Process Hiding","authors":"Mariya Shafat Kirmani, M. T. Banday","doi":"10.1109/IC3I44769.2018.9007293","DOIUrl":"https://doi.org/10.1109/IC3I44769.2018.9007293","url":null,"abstract":"The fact that any program to be executed must be loaded in random access memory makes it forensically critical and target-rich search location for evidence. Digital forensic investigation is incomplete without analyzing the physical memory. Random access memory holds the insights of a running system which constitutes the plethora of information some of which is unique to it. Among other information, random access memory holds running processes and process related information maintained in well-defined data structures. The threads spawned by specific processes also reside in this memory. With the advancement in cyber-attacks, malware tends to be memory resident that is hidden from the operating system to avoid detection via security or forensic tools. Both the user space and kernel space is exploited by hidden. This paper is focused towards analyzing the techniques used by rootkits to hide their processes in the memory achieved via hooking and Direct Kernel Object Manipulation (DKOM), the working of a rootkit and its detection. Having the active malicious processes hidden leads to incorrect results of the forensic investigation, rendering it unacceptable before court of law.","PeriodicalId":161694,"journal":{"name":"2018 3rd International Conference on Contemporary Computing and Informatics (IC3I)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127100307","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: 1

Proposing a Key Escrow Mechanism for Real-Time access to End-to-End encryption systems in the Interest of Law Enforcement 为执法部门提供端到端加密系统实时访问的密钥托管机制

2018 3rd International Conference on Contemporary Computing and Informatics (IC3I) Pub Date : 2018-10-01 DOI: 10.1109/IC3I44769.2018.9007301

Pooja Bharadwaj, Harshita Pal, Bhawna Narwal

引用次数: 7