2014 International Conference on Information Science & Applications (ICISA)最新文献_第9页

Utilization of Luminance and Location for Image Identifier 亮度和位置在图像识别中的应用

2014 International Conference on Information Science & Applications (ICISA) Pub Date : 2014-05-06 DOI: 10.1109/ICISA.2014.6847478

Je-Ho Park, Han Auk Kim

引用次数: 1

Eye Detection for near Infrared Based Gaze Tracking System 基于近红外注视跟踪系统的眼部检测

2014 International Conference on Information Science & Applications (ICISA) Pub Date : 2014-05-06 DOI: 10.1109/ICISA.2014.6847398

Hyun-Cheol Kim, J. Cha, Won Don Lee

引用次数: 1

Dynamic Configuration of SSD File Management SSD文件管理动态配置

2014 International Conference on Information Science & Applications (ICISA) Pub Date : 2014-05-06 DOI: 10.1109/ICISA.2014.6847389

Hyuk-Kyu Lim, Je-Ho Park

引用次数: 2

Analysis of Features Selection and Machine Learning Classifier in Android Malware Detection Android恶意软件检测中的特征选择与机器学习分类器分析

2014 International Conference on Information Science & Applications (ICISA) Pub Date : 2014-05-06 DOI: 10.1109/ICISA.2014.6847364

M. Z. Mas'ud, S. Sahib, M. F. Abdollah, S. R. Selamat, R. Yusof

{"title":"Analysis of Features Selection and Machine Learning Classifier in Android Malware Detection","authors":"M. Z. Mas'ud, S. Sahib, M. F. Abdollah, S. R. Selamat, R. Yusof","doi":"10.1109/ICISA.2014.6847364","DOIUrl":"https://doi.org/10.1109/ICISA.2014.6847364","url":null,"abstract":"The proliferation of Android-based mobile devices and mobile applications in the market has triggered the malware author to make the mobile devices as the next profitable target. With user are now able to use mobile devices for various purposes such as web browsing, ubiquitous services, online banking, social networking, MMS and etc, more credential information is expose to exploitation. Applying a similar security solution that work in Desktop environment to mobile devices may not be proper as mobile devices have a limited storage, memory, CPU and power consumption. Hence, there is a need to develop a mobile malware detection that can provide an effective solution to defence the mobile user from any malicious threat and at the same time address the limitation of mobile devices environment. Prior to this matter, this research focused on evaluating the best features selection to be used in the best machine-learning classifiers. To find the best combination of both features selection and classifier, five sets of different feature selection are applies to five different machine learning classifiers. The classifier outcome is evaluated using the True Positive Rate (TPR), False Positive Rate (FPR), and Accuracy. The best combination of both features selection and classifier can be used to reduce features selection and at the same time able to classify the infected android application accurately.","PeriodicalId":117185,"journal":{"name":"2014 International Conference on Information Science & Applications (ICISA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121774006","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: 64

Designing Voltage-Frequency Island Aware Power-Efficient NoC through Slack Optimization 基于Slack优化设计电压频率岛感知的节能NoC

2014 International Conference on Information Science & Applications (ICISA) Pub Date : 2014-05-06 DOI: 10.1109/ICISA.2014.6847386

Junhui Wang, Yue Qian, Jia Lu, Baoliang Li, Ming Zhu, Wenhua Dou

引用次数: 7

Polynomial Model of the Inverse Plant ILC Algorithm 逆植物ILC算法的多项式模型

2014 International Conference on Information Science & Applications (ICISA) Pub Date : 2014-05-06 DOI: 10.1109/ICISA.2014.6847447

M. Songjun

引用次数: 0

A Model for Measuring the R&D Projects Similarity Using Patent Information 基于专利信息的研发项目相似度度量模型

2014 International Conference on Information Science & Applications (ICISA) Pub Date : 2014-05-06 DOI: 10.1109/ICISA.2014.6847333

Jong-bae Kim, JungWon Byun

引用次数: 1

A Method to Measure the Efficiency of Phishing Emails Detection Features 一种衡量钓鱼邮件检测特征效率的方法

2014 International Conference on Information Science & Applications (ICISA) Pub Date : 2014-05-06 DOI: 10.1109/ICISA.2014.6847332

Melad Mohamed Al-Daeef, N. Basir, M. Saudi

{"title":"A Method to Measure the Efficiency of Phishing Emails Detection Features","authors":"Melad Mohamed Al-Daeef, N. Basir, M. Saudi","doi":"10.1109/ICISA.2014.6847332","DOIUrl":"https://doi.org/10.1109/ICISA.2014.6847332","url":null,"abstract":"Phishing is a threat in which users are sent fake emails that urge them to click a link (URL) which takes to a phisher's website. At that site, users' accounts information could be lost. Many technical and non-technical solutions have been proposed to fight phishing attacks. To stop such attacks, it is important to select the correct feature(s) to detect phishing emails. Thus, the current work presents a new method to selecting more efficient feature in detecting phishing emails. Best features can be extracted from email's body (content) part. Keywords and URLs are known features that can be extracted from email's body part. These two features are very relevant to the three general aspects of email, these aspects are, email's sender, email's content, and email's receiver. In this work, three effectiveness criteria were derived based on these aspects of email. Such criteria were used to evaluate the efficiency of Keywords and URLs features in detecting phishing emails by measuring their Effectiveness Metric (EM) values. The experimental results obtained from analyzing more than 8000 ham (legitimate) and phishing emails from two different datasets show that, relying upon the URLs feature in detecting phishing emails will predominantly give more precise results than relying upon the Keywords feature in a such task.","PeriodicalId":117185,"journal":{"name":"2014 International Conference on Information Science & Applications (ICISA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127280556","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: 6

Modeling Traffic Congestion Using Simulation Software 利用仿真软件建模交通拥堵

2014 International Conference on Information Science & Applications (ICISA) Pub Date : 2014-05-06 DOI: 10.1109/ICISA.2014.6847430

Seongho Kim, W. Suh

{"title":"Modeling Traffic Congestion Using Simulation Software","authors":"Seongho Kim, W. Suh","doi":"10.1109/ICISA.2014.6847430","DOIUrl":"https://doi.org/10.1109/ICISA.2014.6847430","url":null,"abstract":"Traffic simulations are being increasingly utilized as transportation systems have become more complex and congested. However, most simulation models have limitations in overcapacity demand conditions. When traffic in a congested area \"fills\" the available roadway space additional traffic demand may never be allowed to enter the network. The intent of this paper is to explore one possible means to address the issue of unserved vehicles in overcapacity conditions using the VISSIM trip chain. The VISSIM trip chain feature is used for this analysis as it has the advantage of not eliminating a vehicle when congestion hinders its entrance onto a network, instead holding the vehicle until an acceptable gap exists on the entry link. A sample network is built to investigate the difference between standard traffic flow inputs and the trip chain method in overcapacity conditions. Also, simulations with different minimum space headway parameters in the priority rules are analyzed, allowing for an initial investigation into the sensitivity of the model to this parameter. Based on the analysis conducted it is concluded that, with appropriate calibrations, the trip chain feature in VISSIM is a potentially useful method to provide realistic modeling of various overcapacity conditions.","PeriodicalId":117185,"journal":{"name":"2014 International Conference on Information Science & Applications (ICISA)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117333093","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

Traffic Simulation Software: Traffic Flow Characteristics in CORSIM 交通仿真软件:CORSIM中的交通流特性

2014 International Conference on Information Science & Applications (ICISA) Pub Date : 2014-05-06 DOI: 10.1109/ICISA.2014.6847475

Seongho Kim, W. Suh, Jungin Kim

引用次数: 4