Future Computing and Informatics Journal最新文献_第9页

A new method to reduce the effects of HTTP-Get Flood attack 提出了一种减少HTTP-Get Flood攻击影响的新方法

Future Computing and Informatics Journal Pub Date : 2017-12-01 DOI: 10.1016/j.fcij.2017.07.003

Hamid Mirvaziri

{"title":"A new method to reduce the effects of HTTP-Get Flood attack","authors":"Hamid Mirvaziri","doi":"10.1016/j.fcij.2017.07.003","DOIUrl":"10.1016/j.fcij.2017.07.003","url":null,"abstract":"<div><p>HTTP Get Flood attack is known as the most common DDOS attack on the application layer with a frequency of 21 percent in all attacks. Since a huge amount of requests is sent to the Web Server for receiving pages and also the volume of responses issued by the server is much more than the volume received by zombies in this kind of attack, hence it could be done by small botnets; in the other hand, because every zombie attempts to issue the request by the use of its real address, carries out all stages of the three-stage handshakes, and the context of the requests is fully consistent with the HTTP protocol, the techniques of fake address detection and anomaly detection in text could not be employed. The mechanisms that are used to deal with this attack not only have much processing overload but also may cause two kinds of “False Negative” (To realize wrongly the fake traffic as the real traffic) and “False Positive” (To realize wrongly the real traffic as the fake traffic) errors. Therefore a method is proposed that is able to adapt itself to the traffic by the use of low processing overload and it has less error than the similar systems and using this way.</p></div>","PeriodicalId":100561,"journal":{"name":"Future Computing and Informatics Journal","volume":"2 2","pages":"Pages 87-93"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.fcij.2017.07.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87403561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

A supporting tool for requirements change management in distributed agile development 分布式敏捷开发中需求变更管理的支持工具

Future Computing and Informatics Journal Pub Date : 2017-06-01 DOI: 10.1016/j.fcij.2017.04.001

Domia Lloyd , Ramadan Moawad , Mona Kadry

{"title":"A supporting tool for requirements change management in distributed agile development","authors":"Domia Lloyd , Ramadan Moawad , Mona Kadry","doi":"10.1016/j.fcij.2017.04.001","DOIUrl":"10.1016/j.fcij.2017.04.001","url":null,"abstract":"<div><p>Software development industry has witnessed the growth of the agile movement and approaches. Applying the agile approaches and practices in the distributed environment will lead to gain a lot of benefits such as reduced costs, higher efficiency and better customization, on the other hand it will face many challenges for example working in different time zones, requirements changes, personal selection and knowledge management. In order to gain these benefits, it should address the challenges that will face the agile approaches in a distributed environment. One of the main challenges is managing the requirements changes during the process of distributed agile software development. Only few researches published in the literature, addressed the problem of requirements changes during the development process in distributed agile development. Most of the published researches in this context are based on industrial experiences which increases the need for combining the industry with academia within this area. In this paper an approach to manage requirements changes in distributed agile development is introduced. This suggested approach works to fill the gap between the industry and research in distributed agile development by combining the industrial practice and academic technique. This approach is based on a proposed feature model called a features tree. The approach is associated with a supporting software tool that helps to manage the requirement changes in distributed agile development. The supporting tool is tested and evaluated in real environments by software development professionals using an exhaustive set of criteria, and the results are promising.</p></div>","PeriodicalId":100561,"journal":{"name":"Future Computing and Informatics Journal","volume":"2 1","pages":"Pages 1-9"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.fcij.2017.04.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78061456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 15

Designing fuzzy rule base using Spider Monkey Optimization Algorithm in cooperative framework 基于蜘蛛猴优化算法的模糊规则库设计

Future Computing and Informatics Journal Pub Date : 2017-06-01 DOI: 10.1016/j.fcij.2017.04.004

Joydip Dhar , Surbhi Arora

引用次数: 8

Interesting association rule mining with consistent and inconsistent rule detection from big sales data in distributed environment 有趣的关联规则挖掘，从分布式环境下的大销售数据中检测出一致和不一致的规则

Future Computing and Informatics Journal Pub Date : 2017-06-01 DOI: 10.1016/j.fcij.2017.04.003

Dinesh J. Prajapati , Sanjay Garg , N.C. Chauhan

{"title":"Interesting association rule mining with consistent and inconsistent rule detection from big sales data in distributed environment","authors":"Dinesh J. Prajapati , Sanjay Garg , N.C. Chauhan","doi":"10.1016/j.fcij.2017.04.003","DOIUrl":"10.1016/j.fcij.2017.04.003","url":null,"abstract":"<div><p>Nowadays, there is an increasing demand in mining interesting patterns from the big data. The process of analyzing such a huge amount of data is really computationally complex task when using traditional methods. The overall purpose of this paper is in twofold. First, this paper presents a novel approach to identify consistent and inconsistent association rules from sales data located in distributed environment. Secondly, the paper also overcomes the main memory bottleneck and computing time overhead of single computing system by applying computations to multi node cluster. The proposed method initially extracts frequent itemsets for each zone using existing distributed frequent pattern mining algorithms. The paper also compares the time efficiency of Mapreduce based frequent pattern mining algorithm with Count Distribution Algorithm (CDA) and Fast Distributed Mining (FDM) algorithms. The association generated from frequent itemsets are too large that it becomes complex to analyze it. Thus, Mapreduce based consistent and inconsistent rule detection (MR-CIRD) algorithm is proposed to detect the consistent and inconsistent rules from big data and provide useful and actionable knowledge to the domain experts. These pruned interesting rules also give useful knowledge for better marketing strategy as well. The extracted consistent and inconsistent rules are evaluated and compared based on different interestingness measures presented together with experimental results that lead to the final conclusions.</p></div>","PeriodicalId":100561,"journal":{"name":"Future Computing and Informatics Journal","volume":"2 1","pages":"Pages 19-30"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.fcij.2017.04.003","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91479189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 56

Information leakage analysis of software: How to make it useful to IT industries? 软件信息泄露分析:如何使其对it行业有用?

Future Computing and Informatics Journal Pub Date : 2017-06-01 DOI: 10.1016/j.fcij.2017.04.002

Kushal Anjaria, Arun Mishra

{"title":"Information leakage analysis of software: How to make it useful to IT industries?","authors":"Kushal Anjaria, Arun Mishra","doi":"10.1016/j.fcij.2017.04.002","DOIUrl":"10.1016/j.fcij.2017.04.002","url":null,"abstract":"<div><p>Nowadays the software is becoming complex as clients expect a number of functionalities in software. In such scenario, information leakage can't be avoided. As a result, a lot of research is going on to develop tools, methods and policies to find and minimize the leakage. The paper proposes a method to provide a measure, especially to the IT organizations to find how the information leakage at one portion of the software can propagate leakage risk to the other portions of the software or entire software. The paper uses the quantitative analysis of information leakage and cost function based statistical method to find the leakage risk propagation in the software. The method proposed in the paper facilitates the organizations by allowing them to set the organization specific parameters. The proposed method has been applied to the function of Linux to demonstrate the information leakage risk propagation. When organizations find information leakage in the software, their sustaining engineering or quality management teams simply rectify the software portion. But it becomes difficult for the organizations to document the overall mitigation of the risk of leakage. Thus, using the proposed method, organizations will be able to quantify the information leakage risk mitigation.</p></div>","PeriodicalId":100561,"journal":{"name":"Future Computing and Informatics Journal","volume":"2 1","pages":"Pages 10-18"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.fcij.2017.04.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87732873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Enersave API: Android-based power-saving framework for mobile devices Enersave API:基于android的移动设备省电框架

Future Computing and Informatics Journal Pub Date : 2017-06-01 DOI: 10.1016/j.fcij.2017.07.001

A.M. Muharum, V.T. Joyejob, V. Hurbungs, Y. Beeharry

{"title":"Enersave API: Android-based power-saving framework for mobile devices","authors":"A.M. Muharum, V.T. Joyejob, V. Hurbungs, Y. Beeharry","doi":"10.1016/j.fcij.2017.07.001","DOIUrl":"10.1016/j.fcij.2017.07.001","url":null,"abstract":"<div><p>Power consumption is a major factor to be taken into consideration when using mobile devices in the IoT field. Good Power management requires proper understanding of the way in which it is being consumed by the end-devices. This paper is a continuation of the work in Ref. [1] and proposes an energy saving API for the Android Operating System in order to help developers turn their applications into energy-aware ones. The main features heavily used for building smart applications, greatly impact battery life of Android devices and which have been taken into consideration are: Screen brightness, Colour scheme, CPU frequency, 2G/3G network, Maps, Low power localisation, Bluetooth and Wi-Fi. The assessment of the power-saving API has been performed on real Android devices and also compared to the most powerful power-saving applications – DU Battery Saver and Battery Saver 2016 – currently available on the Android market. Comparisons demonstrate that the Enersave API has a significant impact on power saving when incorporated in android applications. While DU Battery Saver and Battery Saver 2016 help saving 22.2% and 40.5% of the battery power respectively, the incorporation of the Enersave API in android applications can help save 84.6% of battery power.</p></div>","PeriodicalId":100561,"journal":{"name":"Future Computing and Informatics Journal","volume":"2 1","pages":"Pages 48-64"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.fcij.2017.07.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74034218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Forecasting of nonlinear time series using ANN 非线性时间序列的神经网络预测

Future Computing and Informatics Journal Pub Date : 2017-06-01 DOI: 10.1016/j.fcij.2017.05.001

Ahmed Tealab , Hesham Hefny , Amr Badr

{"title":"Forecasting of nonlinear time series using ANN","authors":"Ahmed Tealab , Hesham Hefny , Amr Badr","doi":"10.1016/j.fcij.2017.05.001","DOIUrl":"10.1016/j.fcij.2017.05.001","url":null,"abstract":"<div><p>When forecasting time series, it is important to classify them according linearity behavior that the linear time series remains at the forefront of academic and applied research, it has often been found that simple linear time series models usually leave certain aspects of economic and financial data unexplained. The dynamic behavior of most of the time series in our real life with its autoregressive and inherited moving average terms issue the challenge to forecast nonlinear times series that contain inherited moving average terms using computational intelligence methodologies such as neural networks. It is rare to find studies that concentrate on forecasting nonlinear times series that contain moving average terms. In this study, we demonstrate that the common neural networks are not efficient for recognizing the behavior of nonlinear or dynamic time series which has moving average terms and hence low forecasting capability. This leads to the importance of formulating new models of neural networks such as Deep Learning neural networks with or without hybrid methodologies such as Fuzzy Logic.</p></div>","PeriodicalId":100561,"journal":{"name":"Future Computing and Informatics Journal","volume":"2 1","pages":"Pages 39-47"},"PeriodicalIF":0.0,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.fcij.2017.05.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83449752","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 99

A survey on exploring key performance indicators 一项关于探索关键绩效指标的调查

Future Computing and Informatics Journal Pub Date : 2016-12-01 DOI: 10.1016/j.fcij.2016.04.001

Mohammed Badawy , A.A. Abd El-Aziz , Amira M. Idress , Hesham Hefny , Shrouk Hossam

引用次数: 100

Fixing rules for data cleaning based on conditional functional dependency 修正基于条件函数依赖的数据清理规则

Future Computing and Informatics Journal Pub Date : 2016-12-01 DOI: 10.1016/j.fcij.2017.03.002

Rashed Salem, Asmaa Abdo

引用次数: 21

A Cloud Interoperability Broker (CIB) for data migration in SaaS 用于SaaS中数据迁移的云互操作性代理(CIB)

Future Computing and Informatics Journal Pub Date : 2016-12-01 DOI: 10.1016/j.fcij.2017.03.001

Hassan Ali , Ramadan Moawad , Amira Ahmed Farouk Hosni

引用次数: 18