2014 IEEE Conference on Open Systems (ICOS)最新文献_第2页

Network traffic data to ARFF converter for association rules technique of data mining 网络流量数据以ARFF转换为关联规则技术进行数据挖掘

2014 IEEE Conference on Open Systems (ICOS) Pub Date : 2014-10-01 DOI: 10.1109/ICOS.2014.7042635

Nattawat Khamphakdee, N. Benjamas, Saiyan Saiyod

{"title":"Network traffic data to ARFF converter for association rules technique of data mining","authors":"Nattawat Khamphakdee, N. Benjamas, Saiyan Saiyod","doi":"10.1109/ICOS.2014.7042635","DOIUrl":"https://doi.org/10.1109/ICOS.2014.7042635","url":null,"abstract":"Network traffic data is communication data of user on the network. It is a large data and it also consists of normal and abnormal pattern behavior. The analysis and detection of the abnormal pattern behavior in the network traffic data must spend a long time and very hard to find the intrusion pattern. However, the data mining technology can be utilized to extract normal and abnormal pattern behavior. In addition, an association rules technique is one kind of the data mining technology and it be widely utilized to find a pattern. It can discover the events that frequently occur in these data. In order to find the intrusion pattern, the network traffic data must be converted to the special format for the data mining process. In this paper, we propose the network traffic data to ARFF convertor for the association rules technique of the data mining. We developed the software by using Java language and Weka library. In order to evaluate the performance, we utilized the data set of the MIT-DAPRA 1999 in both week 4th and week 5th. Firstly, we wrote the Snort-IDS rules to detect the data set then record the alert data to mysql database. Secondly, the attributes of the header protocol from snort database will be selected such as tcp, icmp and udp protocol, then save the selected data as .csv file format. Thirdly, the .csv file will be converted to .arff file format by utilizing the Weka library. Finally, we used an apriori algorithm of the association rules mining technique to discover relation of itemsets in the data set. As the experimental result, our application can match the pattern that able to discover the frequent itemsets from the data set then it can generate the association rules which are helpful for computer and network administrator to analyze user behavior. In addition, the attribute of our application can be assigned the number of the attribute in the rule. Thus, the generated rules are able to apply with the intrusion detection system.","PeriodicalId":146332,"journal":{"name":"2014 IEEE Conference on Open Systems (ICOS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123789076","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: 8

A novel voting scheme using quantum cryptography 一种新的使用量子密码的投票方案

2014 IEEE Conference on Open Systems (ICOS) Pub Date : 2014-10-01 DOI: 10.1109/ICOS.2014.7042411

D. S. Sundar, Nitin Narayan

引用次数: 8

Exploration of the effectiveness of expectation maximization algorithm for suspicious transaction detection in anti-money laundering 期望最大化算法在反洗钱可疑交易检测中的有效性探索

2014 IEEE Conference on Open Systems (ICOS) Pub Date : 2014-10-01 DOI: 10.1109/ICOS.2014.7042645

Zhiyuan Chen, Le Dinh Van Khoa, A. Nazir, Ee Na Teoh, Ettikan Kandasamy Karupiah

{"title":"Exploration of the effectiveness of expectation maximization algorithm for suspicious transaction detection in anti-money laundering","authors":"Zhiyuan Chen, Le Dinh Van Khoa, A. Nazir, Ee Na Teoh, Ettikan Kandasamy Karupiah","doi":"10.1109/ICOS.2014.7042645","DOIUrl":"https://doi.org/10.1109/ICOS.2014.7042645","url":null,"abstract":"Money laundering refers to activities that disguise money receive through illegal operations and make them become legitimate. It leaves serious consequence that may lead to economy corruption. Extensive research has been conducted to investigate proper solution for suspicious transactions detection. In the realm of clustering approaches, traditional research only concentrate on k-means as the best technique so far. On the other hand, although belongs to the same class, there is a lack of studies conducted in employing Expectation Maximization (EM) for Anti-Money Laundering (AML). The objective of this study is to exploit the advantages of EM for suspicious transaction detection. Data used in this study was obtained through a local bank in Malaysia. Subsets of crucial attributes were selected using genetic search and best first search algorithm. Results indicate that critical fields required for clustering phase include amount, number of credit & debit as well as its sum. The outcome of this study shows that EM overwhelmed traditional clustering method k-means for AML in terms of detecting correct suspicious and normal transactions. This lays the groundwork of employing EM in this field. However, further research is needed using different dataset of other banks in order to clarify the effectiveness of EM in AML.","PeriodicalId":146332,"journal":{"name":"2014 IEEE Conference on Open Systems (ICOS)","volume":"323 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132494314","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: 15

Multi keyword range search in GPU and MIC: A comparison study GPU和MIC中多关键字范围搜索的比较研究

2014 IEEE Conference on Open Systems (ICOS) Pub Date : 2014-10-01 DOI: 10.1109/ICOS.2014.7042640

A. Abdullah, Kek kok Yong, E. Karuppiah, P. K. Chong

引用次数: 1

Identification of frequently used features of smartphone web browsers 识别智能手机网页浏览器的常用功能

2014 IEEE Conference on Open Systems (ICOS) Pub Date : 2014-10-01 DOI: 10.1109/ICOS.2014.7042643

Fazal-e-Amin, A. Alghamdi, I. Ahmad

引用次数: 1

Mobile application development feasibility studies: A case study in Universiti Teknologi MARA 移动应用程序开发可行性研究:玛拉理工大学的案例研究

2014 IEEE Conference on Open Systems (ICOS) Pub Date : 2014-02-13 DOI: 10.1109/ICOS.2014.7042405

Dewi Mariati Mahmud, Nur Atiqah Sia Abdullah

{"title":"Mobile application development feasibility studies: A case study in Universiti Teknologi MARA","authors":"Dewi Mariati Mahmud, Nur Atiqah Sia Abdullah","doi":"10.1109/ICOS.2014.7042405","DOIUrl":"https://doi.org/10.1109/ICOS.2014.7042405","url":null,"abstract":"Mobile application is trendy and receives high demand in marketplace. Thus, mobile technology has been identified as a potential delivery alternative since it is able to provide services anywhere anytime. Basically, most of the university's services are provided through web-based systems, including Universiti Teknologi MARA (UiTM). However, due to the increasing demand from the students and university, mobile application is proposed as an alternative channel for these services. Therefore, the feasibility studies are needed before continuing the mobile requirement engineering and development process. This study aims to delineate the guidelines for mobile application development from feasibility studies in terms of technical aspect and integration issues of web services from the existing systems. A case study in UiTM, which is an alternative mobile service for student portal, is carried out. The feasibility studies in terms of technical aspect are derived in detail and the architecture of the mobile application is examined to get better understanding. Technical aspects include mobile type application, mobile operating system, web services, mobile application architecture are analyzed to be a guideline in any future mobile application development in the future in UiTM.","PeriodicalId":146332,"journal":{"name":"2014 IEEE Conference on Open Systems (ICOS)","volume":"176 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120954028","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

Impact of acoustical voice activity detection on spontaneous filled pause classification 声活动检测对自发填充暂停分类的影响

2014 IEEE Conference on Open Systems (ICOS) Pub Date : 2014-02-13 DOI: 10.1109/ICOS.2014.7042400

Raseeda Hamzah, N. Jamil, N. Seman, N. Ardi, S. Doraisamy

引用次数: 3

Vertical handover decision using history-based communication graph for heterogeneous networks 基于历史通信图的异构网络垂直切换决策

2014 IEEE Conference on Open Systems (ICOS) Pub Date : 2014-02-13 DOI: 10.1109/ICOS.2014.7042401

Bushra Naeem, R. Ngah, S. Z. M. Hashim, W. Maqbool

引用次数: 7

RDF data management for Web2.0 applications Web2.0应用程序的RDF数据管理

2014 IEEE Conference on Open Systems (ICOS) Pub Date : 2014-02-13 DOI: 10.1109/ICOS.2014.7042639

Noorazida Mohd Idris, S. Z. Abidin

引用次数: 1

Comparison of genetic algorithm optimization on artificial neural network and support vector machine in intrusion detection system 遗传算法优化人工神经网络与支持向量机在入侵检测系统中的比较

2014 IEEE Conference on Open Systems (ICOS) Pub Date : 2014-02-13 DOI: 10.1109/ICOS.2014.7042412

A. Dastanpour, S. Ibrahim, Reza Mashinchi, A. Selamat

引用次数: 24