Proceedings of the 7th Asia-Pacific Symposium on Internetware最新文献_第3页

Invariant Synthesis for Programs Manipulating Arrays with Unbounded Data 用无界数据操作数组的程序的不变性综合

Proceedings of the 7th Asia-Pacific Symposium on Internetware Pub Date : 2015-11-06 DOI: 10.1145/2875913.2875942

Bin Li, Zhenhao Tang, Jianhua Zhao

引用次数: 0

Mining Context-Aware User Requirements from Crowd Contributed Mobile Data 从人群贡献的移动数据中挖掘上下文感知的用户需求

Proceedings of the 7th Asia-Pacific Symposium on Internetware Pub Date : 2015-11-06 DOI: 10.1145/2875913.2875933

Wenjie Liang, Wenyi Qian, Yijian Wu, Xin Peng, Wenyun Zhao

{"title":"Mining Context-Aware User Requirements from Crowd Contributed Mobile Data","authors":"Wenjie Liang, Wenyi Qian, Yijian Wu, Xin Peng, Wenyun Zhao","doi":"10.1145/2875913.2875933","DOIUrl":"https://doi.org/10.1145/2875913.2875933","url":null,"abstract":"Internetware is required to respond quickly to emergent user requirements or requirements changes by providing application upgrade or making context-aware recommendations. As user requirements in Internet computing environment are often changing fast and new requirements emerge more and more in a creative way, traditional requirements engineering approaches based on requirements elicitation and analysis cannot ensure the quick response of Internetware. In this paper, we propose an approach for mining context-aware user requirements from crowd contributed mobile data. The approach captures behavior records contributed by a crowd of mobile users and automatically mines context-aware user behavior patterns (i.e., when, where and under what conditions users require a specific service) from them using Apriori-M algorithm. Based on the mined user behaviors, emergent requirements or requirements changes can be inferred from the mined user behavior patterns and solutions that satisfy the requirements can be recommended to users. To evaluate the proposed approach, we conduct an experimental study and show the effectiveness of the requirements mining approach.","PeriodicalId":361135,"journal":{"name":"Proceedings of the 7th Asia-Pacific Symposium on Internetware","volume":"306 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114952120","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: 9

A Study on Power Side Channels on Mobile Devices 移动设备电源侧信道的研究

Proceedings of the 7th Asia-Pacific Symposium on Internetware Pub Date : 2015-11-06 DOI: 10.1145/2875913.2875934

Lin Yan, Yao Guo, Xiangqun Chen, Hong Mei

引用次数: 42

Facilitating Reusable and Scalable Automated Testing and Analysis for Android Apps 促进Android应用程序的可重用和可扩展的自动化测试和分析

Proceedings of the 7th Asia-Pacific Symposium on Internetware Pub Date : 2015-11-06 DOI: 10.1145/2875913.2875937

Zhanshuai Meng, Yanyan Jiang, Chang Xu

{"title":"Facilitating Reusable and Scalable Automated Testing and Analysis for Android Apps","authors":"Zhanshuai Meng, Yanyan Jiang, Chang Xu","doi":"10.1145/2875913.2875937","DOIUrl":"https://doi.org/10.1145/2875913.2875937","url":null,"abstract":"Mobile apps are prevalent in everyone's daily life. However, apps are oftentimes defective, undermining their convenience, and therefore automated testing and analysis of apps are developed to enhance apps' quality. As these advanced technologies become increasingly effective and complicated, prototyping such a tool also becomes a challenge. To facilitate easy development of high-quality testing and analysis tools that work with real-world apps, we in this paper present the design and implementation of ATT (Android Testing Toolkit), for crafting reusable and scalable testing and analysis on Android apps. ATT consists of integrated tools and APIs for event generation, profiling and program instrumentation, and can be distributed over cloud platforms for scalable testing and analysis. We qualitatively evaluated the applicability of ATT by demonstrating implementation of a series of existing and enhanced work (RERAN, Monkey+ and UGA) upon ATT, and quantitatively studied the scalability of parallelized UGA on a cloud platform with five real-world apps. We believe that our ATT tool would facilitate development of more advanced testing and analysis approaches for Android apps.","PeriodicalId":361135,"journal":{"name":"Proceedings of the 7th Asia-Pacific Symposium on Internetware","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129197155","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: 12

Analyzing Inductively Defined Properties for Recursive Data Structures 递归数据结构的归纳定义属性分析

Proceedings of the 7th Asia-Pacific Symposium on Internetware Pub Date : 2015-11-06 DOI: 10.1145/2875913.2875930

Zhenhao Tang, Hanfei Wang, Bin Li, Juan Zhai, Jianhua Zhao, Xuandong Li

引用次数: 0

Detecting Buggy Files based on Bug Reports: A Random Walk Based Approach 基于Bug报告检测Bug文件:一种基于随机游走的方法

Proceedings of the 7th Asia-Pacific Symposium on Internetware Pub Date : 2015-11-06 DOI: 10.1145/2875913.2875939

Yaojing Wang, Feng Xu, Yuan Yao, Yong Wu

引用次数: 1

Combining Crowd Contributions with Machine Learning to Detect Malicious Mobile Apps 结合群体贡献和机器学习检测恶意移动应用程序

Proceedings of the 7th Asia-Pacific Symposium on Internetware Pub Date : 2015-11-06 DOI: 10.1145/2875913.2875941

Dahai Yao, Hailong Sun, Xudong Liu

{"title":"Combining Crowd Contributions with Machine Learning to Detect Malicious Mobile Apps","authors":"Dahai Yao, Hailong Sun, Xudong Liu","doi":"10.1145/2875913.2875941","DOIUrl":"https://doi.org/10.1145/2875913.2875941","url":null,"abstract":"Android is undoubtedly becoming the most popular smartphone platform. The popularity of Android, unfortunately, has also made the devices become the target of malware. Most of existing malicious mobile apps feature stealthy operations such as collecting user privacy, sending premium SMS messages and making unauthorized http connections with no legal notice to the affected user. However, transmission of sensitive data cannot indicate malicious behavior because some benign applications also need sensitive data to improve the user experience. Existing malware detection approaches focus on static or dynamic analysis without crowd user contributions. In this paper, we propose a novel technique which combining crowd contributions with machine learning to detect malicious mobile apps. We model privacy transmission as user-determined and undetermined with the help of real user decisions based on crowdsourcing. We apply static analysis to extract application basic information such as permissions and suspicious API calls. Then we use dynamic instrumentation technique to trace real API calls at runtime and collect the crowd user decisions to the prompted sensitive data transmission. Finally, we employ several different learning-based algorithms, such as SVM, Bayesian Network, Decision Tree and KNN to detect malicious apps. Experiments with 100 real application samples show that our system was capable of detecting malicious mobile apps: our system can detect 85% to 97% of the malware with low false positive rate.","PeriodicalId":361135,"journal":{"name":"Proceedings of the 7th Asia-Pacific Symposium on Internetware","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127816719","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

A hybrid static analysis refinement approach within internetware environment 互联网环境下的混合静态分析细化方法

Proceedings of the 7th Asia-Pacific Symposium on Internetware Pub Date : 2015-11-06 DOI: 10.1145/2875913.2875928

Dalin Zhang, Gang Yin, Dahai Jin, Yunzhan Gong, Tianshuang Wu, Hailong Zhang

引用次数: 0

A Crowdsourcing framework for Detecting Cross-Browser Issues in Web Application 一个检测Web应用跨浏览器问题的众包框架

Proceedings of the 7th Asia-Pacific Symposium on Internetware Pub Date : 2015-11-06 DOI: 10.1145/2875913.2875945

Mei He, Hongyin Tang, Guoquan Wu, Jun Wei, Hua Zhong

引用次数: 4

Proceedings of the 7th Asia-Pacific Symposium on Internetware 第七届亚太互联网研讨会论文集

Proceedings of the 7th Asia-Pacific Symposium on Internetware Pub Date : 1900-01-01 DOI: 10.1145/2875913

引用次数: 0