2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)最新文献_第2页

Task Resource Planning and Verification Method Based on Intelligent Planning 基于智能规划的任务资源规划与验证方法

2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) Pub Date : 2018-07-01 DOI: 10.1109/QRS-C.2018.00071

Haiqing Wang, Peng Sun

引用次数: 1

Lessons Learned from Developing Permissioned Blockchains 开发许可区块链的经验教训

2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) Pub Date : 2018-07-01 DOI: 10.1109/QRS-C.2018.00014

W. Tsai, Lian Yu

引用次数: 9

A New Method of Evolutionary Testing for Path Coverage 一种新的路径覆盖进化测试方法

2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) Pub Date : 2018-07-01 DOI: 10.1109/QRS-C.2018.00028

Qingjie Wei, Yijin Li, Yuheng Zhang

引用次数: 0

On the Similarities between Blockchains and Merkle-Damgård Hash Functions

2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) Pub Date : 2018-07-01 DOI: 10.1109/QRS-C.2018.00035

Kimmo Halunen, V. Vallivaara, A. Karinsalo

引用次数: 4

Introduction of a Tool-Based Continuous Information Security Management System: An Exploratory Case Study 基于工具的持续信息安全管理系统介绍:一个探索性案例研究

2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) Pub Date : 2018-07-01 DOI: 10.1109/QRS-C.2018.00088

M. Brunner, Andrea Mussmann, R. Breu

{"title":"Introduction of a Tool-Based Continuous Information Security Management System: An Exploratory Case Study","authors":"M. Brunner, Andrea Mussmann, R. Breu","doi":"10.1109/QRS-C.2018.00088","DOIUrl":"https://doi.org/10.1109/QRS-C.2018.00088","url":null,"abstract":"Tighter regulatory demands and higher customer expectations regarding the protection of information force enterprises to systematically ensure confidentiality, integrity and availability of stored information and processing facilities. Information Security Management Systems (ISMSs) are used to address these challenges. Recent studies show that the majority of companies plans to establish at least basic information security management to prepare for future developments. Larger enterprises have already embraced ISMSs, whereas small and medium-sized enterprises (SMEs) are catching up and require support in defining, introducing and operating them. We developed ADAMANT, an SME-friendly tool that supports continuous information security management incorporating stakeholders of different domains. In this paper, we evaluated our approach to introduce an ISMS in SMEs using an introductory information security training. The evaluation shows that our tool improves critical information security management tasks. Furthermore, integrating ADAMANT in customized security trainings allows companies to directly use training results to implement an ISMS.","PeriodicalId":199384,"journal":{"name":"2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126910261","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

Influence Maximization Algorithms Research Based on Big Graphs 基于大图的影响最大化算法研究

2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) Pub Date : 2018-07-01 DOI: 10.1109/QRS-C.2018.00096

Guigang Zhang, Chuanchuan You

引用次数: 0

Embedded Software Fault Prediction Based on Back Propagation Neural Network 基于反向传播神经网络的嵌入式软件故障预测

2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) Pub Date : 2018-07-01 DOI: 10.1109/QRS-C.2018.00098

P. Zong, Yichen Wang, F. Xie

引用次数: 5

A Hybrid Method of Redundancy System Reliability Analysis Based on AADL Models 基于AADL模型的冗余系统可靠性混合分析方法

2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) Pub Date : 2018-07-01 DOI: 10.1109/QRS-C.2018.00060

Yin Lu, Yunwei Dong, Xiaomin Wei, Mingrui Xiao

{"title":"A Hybrid Method of Redundancy System Reliability Analysis Based on AADL Models","authors":"Yin Lu, Yunwei Dong, Xiaomin Wei, Mingrui Xiao","doi":"10.1109/QRS-C.2018.00060","DOIUrl":"https://doi.org/10.1109/QRS-C.2018.00060","url":null,"abstract":"A hybrid method of reliability analysis based on AADL models is proposed in this paper, in order to handle the problem of reliability analyzation of multi-modes redundancy system. In our method, target system in different modes is mapped into several temporal subsystems. Then an upper level system is created to hold all these subsystems, and is regarded as the mapping of the original target system. Architecture model and error model are re-constructed for these created systems. After the reconstruction of the system, a GSPN based reliability analysis method is adopted for the reliability analysis of the temporal subsystems, while a FTA based analyzation method is used with the top level system, so that to gain a clear view of the relationships between typical system failure and the states of system in different working modes. The algorithm of static fault tree generation from AADL error model is implemented within EMF, and the generated fault tree is directed into the OpenFTA toolkit for analyzation. The hybrid reliability analysis method is tested with the example illustrated in SAE5506 EMV2.","PeriodicalId":199384,"journal":{"name":"2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127754984","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

Information Security Considerations for Wireless Infusion Pumps 无线输液泵的信息安全考虑

2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) Pub Date : 2018-07-01 DOI: 10.1109/QRS-C.2018.00081

P. RajendraPrasad, S. Butakov, Fehmi Jaafar

引用次数: 2

An Analysis of Android Malware Behavior Android恶意软件行为分析

2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C) Pub Date : 2018-07-01 DOI: 10.1109/QRS-C.2018.00091

Fehmi Jaafar, Gagandeep Singh, P. Zavarsky

{"title":"An Analysis of Android Malware Behavior","authors":"Fehmi Jaafar, Gagandeep Singh, P. Zavarsky","doi":"10.1109/QRS-C.2018.00091","DOIUrl":"https://doi.org/10.1109/QRS-C.2018.00091","url":null,"abstract":"Android is dominating the smartphone market with more users than any other mobile operating system. But with its growing popularity, interest from attackers has also increased, as the number of malicious applications keeps on rising. To know more about these applications, investigation of their behavior has become very important. In our paper, we present a study that combines static and dynamic analysis of these applications with an aim to analyze their behavior by examining various attributes such as permission, CPU usage, volatile memory, and traffic. The experimental result of the static analysis shows that top permissions are used by malware to access network state, Internet, write external phone state, and read phone state. Our results of runtime experiments show that CPU usage of malicious applications is on average half that of normal applications while in terms of volatile memory usage malicious applications occupied more RAM than legitimate ones. Traffic analysis includes transmission rate between endpoints which is higher in malware compared to normal applications with a higher number of malformed packets. Based on the above-mentioned four attributes, the behavior of malware can be understood and this behavior can assist in differentiating malicious apps from legitimate applications.","PeriodicalId":199384,"journal":{"name":"2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128083202","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