2016 International Conference on Information Science and Security (ICISS)最新文献_第4页

Feasibility of Supervised Machine Learning for Cloud Security 有监督机器学习在云安全中的可行性

2016 International Conference on Information Science and Security (ICISS) Pub Date : 2016-12-01 DOI: 10.1109/ICISSEC.2016.7885853

D. Bhamare, Tara Salman, M. Samaka, A. Erbad, R. Jain

{"title":"Feasibility of Supervised Machine Learning for Cloud Security","authors":"D. Bhamare, Tara Salman, M. Samaka, A. Erbad, R. Jain","doi":"10.1109/ICISSEC.2016.7885853","DOIUrl":"https://doi.org/10.1109/ICISSEC.2016.7885853","url":null,"abstract":"Cloud computing is gaining significant attention, however, security is the biggest hurdle in its wide acceptance. Users of cloud services are under constant fear of data loss, security threats and availability issues. Recently, learning-based methods for security applications are gaining popularity in the literature with the advents in machine learning techniques. However, the major challenge in these methods is obtaining real-time and unbiased datasets. Many datasets are internal and cannot be shared due to privacy issues or may lack certain statistical characteristics. As a result of this, researchers prefer to generate datasets for training and testing purpose in the simulated or closed experimental environments which may lack comprehensiveness. Machine learning models trained with such a single dataset generally result in a semantic gap between results and their application. There is a dearth of research work which demonstrates the effectiveness of these models across multiple datasets obtained in different environments. We argue that it is necessary to test the robustness of the machine learning models, especially in diversified operating conditions, which are prevalent in cloud scenarios. In this work, we use the UNSW dataset to train the supervised machine learning models. We then test these models with ISOT dataset. We present our results and argue that more research in the field of machine learning is still required for its applicability to the cloud security.","PeriodicalId":420224,"journal":{"name":"2016 International Conference on Information Science and Security (ICISS)","volume":"7 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128440087","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: 68

XML_DocTracker: Generating Software Requirements Specification (SRS) from XML Schema XML_DocTracker:从XML模式生成软件需求规范

2016 International Conference on Information Science and Security (ICISS) Pub Date : 2016-12-01 DOI: 10.1109/ICISSEC.2016.7885872

Hannani Aman, R. Ibrahim

{"title":"XML_DocTracker: Generating Software Requirements Specification (SRS) from XML Schema","authors":"Hannani Aman, R. Ibrahim","doi":"10.1109/ICISSEC.2016.7885872","DOIUrl":"https://doi.org/10.1109/ICISSEC.2016.7885872","url":null,"abstract":"Agile software development methodology is an iterative and incremental method in making interactions more important than process and tools. The method also emphasizes more on developing software rather than making a comprehensive documentation. Therefore, web developers like to adapt agile software development methodology in their web development. The reason is because the methodology delivers web application faster than the traditional software development methodology. As advantages of this method, web application is developed in a short time. Although these make huge benefits, the most important thing in software development life cycle has been ignored. That is, documentation process in capturing requirements and design. Therefore, this paper presents a tool named XML_DocTracker for generating the software requirements specification (SRS) from XML schema as well as addressing the versioning problems during generating the SRS. XML_DocTracker is implemented based on the framework for transformation rules from XML Schema. The framework also addresses the versioning factor using traceability for detecting the document changes. Based on the framework, XML_DocTracker is developed and the tool is able to generate the SRS from the XML schema as well as able to detect document changes in SRS due to traceability factor that is embedded inside the tool. The tool can be used for software community who want to generate the SRS from the source codes if the SRS did not exist for that particular software. This paper contribution is detecting new type of element evolution in SRS when new XML schema version is introduced.","PeriodicalId":420224,"journal":{"name":"2016 International Conference on Information Science and Security (ICISS)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132590625","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: 3

Implementation of AR-Based Hybrid Broadcasting System by TV Viewer's Preferred Content Provider 电视观众首选内容提供商基于ar的混合广播系统的实现

2016 International Conference on Information Science and Security (ICISS) Pub Date : 2016-12-01 DOI: 10.1109/ICISSEC.2016.7885858

Soon-Choul Kim, Han-Seung Koo, Hyuncheol Kim, Jinwook Cheong

引用次数: 1

KRGuard: Kernel Rootkits Detection Method by Monitoring Branches Using Hardware Features KRGuard:利用硬件特性监控分支的内核Rootkits检测方法

2016 International Conference on Information Science and Security (ICISS) Pub Date : 2016-12-01 DOI: 10.1109/ICISSEC.2016.7885860

Yohei Akao, Toshihiro Yamauchi

引用次数: 7

Backup and Disaster Recovery System for HDFS HDFS备份容灾系统

2016 International Conference on Information Science and Security (ICISS) Pub Date : 2016-12-01 DOI: 10.1109/ICISSEC.2016.7885845

Shengmei Luo, Yang Wang, Wei Huang, Hongliang Yu

引用次数: 3