International Journal of Information Engineering and Electronic Business最新文献_第9页

Comparison of the LoRa Image Transmission Efficiency Based on Different Encoding Methods 基于不同编码方式的LoRa图像传输效率比较

International Journal of Information Engineering and Electronic Business Pub Date : 2020-03-01 DOI: 10.18178/ijiee.2020.10.1.712

Ching-Chuan Wei, Pei-Yi Su, Shutin Chen

引用次数: 9

An Efficient Homomorphic Data Encoding with Multiple Secret Hensel Codes 一种具有多秘密Hensel码的高效同态数据编码

International Journal of Information Engineering and Electronic Business Pub Date : 2020-03-01 DOI: 10.18178/ijiee.2020.10.1.713

D. W. H. A. D. Silva, Carlos Paz de Araujo, Edward Chow

{"title":"An Efficient Homomorphic Data Encoding with Multiple Secret Hensel Codes","authors":"D. W. H. A. D. Silva, Carlos Paz de Araujo, Edward Chow","doi":"10.18178/ijiee.2020.10.1.713","DOIUrl":"https://doi.org/10.18178/ijiee.2020.10.1.713","url":null,"abstract":"Abstract—Data encoding is widely used for a variety of reasons. Encoding schemes in general serve to convert one form of data to another in order to enhance the efficiency of data storage, transmission, computation and privacy, to name just a few. When it comes to privacy, data may be encoded to hide its meaning from direct access or encrypted to attain a certain security level. If the encoding scheme preserves additive and multiplicative homomorphisms, then operations on encoded data may be performed without prior decoding, which improves the utility of such mechanism. We introduce a probabilistic fully homomorphic encoding scheme that is practical as a stand-alone entry-level solution to data privacy or as an added component of existing encryption schemes, especially those that are deterministic. We demonstrate how the finite segment of p-adic numbers can be explored to derive probabilistic multiple secret Hensel codes which yields multiple layers of obscurity in an efficient way. Our encoding scheme is compact, ultra lightweight and suitable for applications ranging from edge to cloud computing. Without significant changes in its mathematical foundation, as a proposed continuation of this present work, further investigation can take place in order to confirm if the same encoding scheme can be extended to be a standalone secure instance of a fully homomorphic encryption scheme.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125975290","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

TCP Throughput Achieved by a Folded Clos Network Controlled by Different Flow Diffusion Algorithms 由不同流量扩散算法控制的折叠Clos网络实现TCP吞吐量

International Journal of Information Engineering and Electronic Business Pub Date : 2020-03-01 DOI: 10.18178/ijiee.2020.10.1.714

S. Ohta

引用次数: 3

A Review of Electronic Voting Systems: Strategy for a Novel 电子投票系统综述:小说策略

International Journal of Information Engineering and Electronic Business Pub Date : 2020-02-08 DOI: 10.5815/ijieeb.2020.01.03

S. Olumide, K. B. Olutayo, Salako E. Adekunle

{"title":"A Review of Electronic Voting Systems: Strategy for a Novel","authors":"S. Olumide, K. B. Olutayo, Salako E. Adekunle","doi":"10.5815/ijieeb.2020.01.03","DOIUrl":"https://doi.org/10.5815/ijieeb.2020.01.03","url":null,"abstract":"The voting system in the world has been characterised with many fundamental challenges, thereby resulting to a corrupt contestant winning an election. Researchers have been emotionally, physically, socially and intellectually concerned about the election malpractices recorded at various levels of electing a representative. Questions on how corrupt stakeholders in elections could be prevented from fraudulent activities such as rigging and impersonation called for discussion and answers. Consequences of declaring a corrupt contestant as a winner are bad governance, insecurities and diversification of public funds for personal gains. There must be approaches to tackle the problems of voting systems. This paper focused on a comprehensive review of electronic voting systems by different scholars as a platform for identifying shortcomings or drawbacks towards the implementation of a highly secured electronic voting system. The methods used by different scholars were technically reviewed so as to identify areas that need improvement towards providing solutions to the identified problems. Furthermore, countries with history on the adoption of e-voting systems were reviewed. Based on the problems identified from various works, a novel for future work on developing a secured electronic voting system using fingerprint and visual semagram techniques was proposed.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123698344","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: 18

Deceptive Opinion Detection Using Machine Learning Techniques 使用机器学习技术的欺骗性意见检测

International Journal of Information Engineering and Electronic Business Pub Date : 2020-02-08 DOI: 10.5815/ijieeb.2020.01.01

Naznin Sultana, S. Palaniappan

{"title":"Deceptive Opinion Detection Using Machine Learning Techniques","authors":"Naznin Sultana, S. Palaniappan","doi":"10.5815/ijieeb.2020.01.01","DOIUrl":"https://doi.org/10.5815/ijieeb.2020.01.01","url":null,"abstract":"Nowadays, online reviews have become a valuable resource for customer decision making before purchasing a product. Research shows that most of the people look at online reviews before purchasing any product. So, customers reviews are now become a crucial part of doing business online. Since review can either promote or demote a product or a service, so buying and selling fake reviews turns into a profitable business for some people now a days. In the past few years, deceptive review detection has attracted significant attention from both the industrial organizations and academic communities. However, the issue remains to be a challenging problem due to the lack of labeled dataset for supervised learning and evaluation. Also, study shows that both the state of the art computational approaches and human readers acquire an error rate of about 35% to 48% in identifying fake reviews. This study thoroughly investigated and analyzed customers’ online reviews for deception detection using different supervised machine learning methods and proposes a machine learning model using stochastic gradient descent algorithm for the detection of spam review. To reduce bias and variance, bagging and boosting approach was integrated into the model. Furthermore, to select the most appropriate features in the feature selection step, some rules using regular expression were also generated. Experiments on hotel review dataset demonstrate the effectiveness of the proposed approach.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125144297","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: 7

A Frame Work for Classification of Multi Class Medical Data based on Deep Learning and Naive Bayes Classification Model 基于深度学习和朴素贝叶斯分类模型的多类医疗数据分类框架

International Journal of Information Engineering and Electronic Business Pub Date : 2020-02-08 DOI: 10.5815/ijieeb.2020.01.05

N. Ramesh, G. L. Devi, K. S. Sekhara Rao

引用次数: 3

Heart Disease Prediction Using Frequent Item Set Mining and Classification Technique 基于频繁项集挖掘和分类技术的心脏病预测

International Journal of Information Engineering and Electronic Business Pub Date : 2019-11-08 DOI: 10.5815/ijieeb.2019.06.02

Sinkon Nayak, Mahendra Kumar Gourisaria, M. Pandey, S. Rautaray

引用次数: 14

Feature Engineering based Approach for Prediction of Movie Ratings 基于特征工程的电影分级预测方法

International Journal of Information Engineering and Electronic Business Pub Date : 2019-11-08 DOI: 10.5815/ijieeb.2019.06.04

S. Sathiyadevi, G. Parthasarathy

引用次数: 1

The Improvement of IT Processes at Office X in one of the Cities in Indonesia 印度尼西亚某城市X办公室IT流程的改进

International Journal of Information Engineering and Electronic Business Pub Date : 2019-11-08 DOI: 10.5815/ijieeb.2019.06.01

Putu Wulan Wahyu Sandhiani, I. Sukarsa, I. Pratama

{"title":"The Improvement of IT Processes at Office X in one of the Cities in Indonesia","authors":"Putu Wulan Wahyu Sandhiani, I. Sukarsa, I. Pratama","doi":"10.5815/ijieeb.2019.06.01","DOIUrl":"https://doi.org/10.5815/ijieeb.2019.06.01","url":null,"abstract":"The proper use of information technology can improve the efficiency and effectiveness of an organization’s performance. The use of information technology in educational institutions also require good governance so as to ensure transparency, efficiency, and effectiveness of any business process that runs on the institutions. Audit is one of the ways that can be done to determine the company’s ability to execute business process in it so that the performance of the process in the company can run better and more effective, and it can also improve the performance of employees. The audit process conducted at Office X aims to evaluate the work program using the COBIT 5 framework as a guide because it already contains four main perspectives, namely the customer perspective, financial perspective, internal business process perspective, and the learning and growth perspective. Results of research conducted at Office X show that the capability level of the four processes in the audit which are APO07 (Manage human resources), BAI02 (Manage requirements definition), BAI04 (Manage availability and capacity), and EDM04 (Ensure resource optimization) achieved by the Office still stop at level 1 and there is still a difference of 4 levels from what is expected by the company so that there needs to be improvements to achieve the specified target level 5.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129600262","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: 4

A Corpus Based Approach to Build Arabic Sentiment Lexicon 基于语料库的阿拉伯语情感词典构建方法

International Journal of Information Engineering and Electronic Business Pub Date : 2019-11-08 DOI: 10.5815/ijieeb.2019.06.03

Afnan Alsolamy, M. Siddiqui, Imtiaz Hussain Khan

{"title":"A Corpus Based Approach to Build Arabic Sentiment Lexicon","authors":"Afnan Alsolamy, M. Siddiqui, Imtiaz Hussain Khan","doi":"10.5815/ijieeb.2019.06.03","DOIUrl":"https://doi.org/10.5815/ijieeb.2019.06.03","url":null,"abstract":"Sentiment analysis is an application of artificial intelligence that determines the sentiment associated sentiment with a piece of text. It provides an easy alternative to a brand or company to receive customers' opinions about its products through user generated contents such as social media posts. Training a machine learning model for sentiment analysis requires the availability of resources such as labeled corpora and sentiment lexicons. While such resources are easily available for English, it is hard to find them for other languages such as Arabic. The aim of this research is to build an Arabic sentiment lexicon using a corpus-based approach. Sentiment scores were propagated from a small, manually labeled, seed list to other terms in a term co-occurrence graph. To achieve this, we proposed a graph propagation algorithm and compared different similarity measures. The lexicon was evaluated using a manually annotated list of terms. The use of similarity measures depends on the fact that the words that are appearing in the same context will have similar polarity. The main contribution of the work comes from the empirical evaluation of different similarity to assign the best sentiment scores to terms in the co-occurrence graph.","PeriodicalId":427770,"journal":{"name":"International Journal of Information Engineering and Electronic Business","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131678326","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: 4