2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications最新文献_第4页

Continuous Certification of Non-repudiation in Cloud Storage Services 云存储服务不可抵赖性持续认证

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.122

M. Krotsiani, G. Spanoudakis

引用次数: 10

Crowd Sensing of Urban Emergency Events Based on Social Media Big Data 基于社交媒体大数据的城市突发事件人群感知

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.77

Zheng Xu, Hui Zhang, Yunhuai Liu, Lin Mei

{"title":"Crowd Sensing of Urban Emergency Events Based on Social Media Big Data","authors":"Zheng Xu, Hui Zhang, Yunhuai Liu, Lin Mei","doi":"10.1109/TrustCom.2014.77","DOIUrl":"https://doi.org/10.1109/TrustCom.2014.77","url":null,"abstract":"Detection about urban emergency events, e.g., The fires, storms, traffic jams is of great importance to protect the security of humans. While there are limited physical sensors such as surveillance cameras in a city, urban emergency events are still difficult to be detected for their real-time feature. Recently, social media feeds are rapidly emerging as a novel platform for providing and dissemination of information that is often geographic. The content from social media often includes references to urban emergency events occurring at, or affecting specific locations. In this paper, the real-time detection of urban emergency events based on social media is proposed. Firstly, users of social media are set as the target of crowd sensing. Secondly, the spatial and temporal information from the social media are extracted to detect the real-time event. Thirdly, a GIS based annotation of the detected urban emergency event is shown. The proposed method is evaluated with extensive experiments based on five real urban emergency events. The result show the accuracy and efficiency of the proposed method.","PeriodicalId":268788,"journal":{"name":"2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122408120","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

Evaluation of Android Anti-malware Techniques against Dalvik Bytecode Obfuscation 针对Dalvik字节码混淆的Android反恶意软件技术评估

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.54

Parvez Faruki, A. Bharmal, V. Laxmi, M. Gaur, M. Conti, M. Rajarajan

引用次数: 44

Untrusted User Detection in Microblogs 微博中的不可信用户检测

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.71

Zidan Yu, Huiqun Yu

引用次数: 1

Automatically Exploiting Potential Component Leaks in Android Applications 自动利用Android应用程序中潜在的组件泄漏

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.50

Li Li, Alexandre Bartel, Jacques Klein, Yves Le Traon

引用次数: 71

Cognitive Adaptive Access-Control System for a Secure Locator/Identifier Separation Context 安全定位/标识分离环境下的认知自适应访问控制系统

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.30

Yuanlong Cao, Jianfeng Guan, Changqiao Xu, Wei Quan, Hongke Zhang

引用次数: 0

Unified Model for Data Security - A Position Paper 数据安全的统一模型-立场文件

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.110

Raja Naeem Akram, R. Ko

{"title":"Unified Model for Data Security - A Position Paper","authors":"Raja Naeem Akram, R. Ko","doi":"10.1109/TrustCom.2014.110","DOIUrl":"https://doi.org/10.1109/TrustCom.2014.110","url":null,"abstract":"One of the most crucial components of modern Information Technology (IT) systems is data. It can be argued that the majority of IT systems are built to collect, store, modify, communicate and use data, enabling different data stakeholders to access and use it to achieve different business objectives. The confidentiality, integrity, availability, audit ability, privacy, and quality of the data is of paramount concern for end-users ranging from ordinary consumers to multi-national companies. Over the course of time, different frameworks have been proposed and deployed to provide data security. Many of these previous paradigms were specific to particular domains such as military or media content providers, while in other cases they were generic to different verticals within an industry. There is a much needed push for a holistic approach to data security instead of the current bespoke approaches. The age of the Internet has witnessed an increased ease of sharing data with or without authorisation. These scenarios have created new challenges for traditional data security. In this paper, we study the evolution of data security from the perspective of past proposed frameworks, and present a novel Unified Model for Data Security (UMDS). The discussed UMDS reduces the friction from several cross-domain challenges, and has the functionality to possibly provide comprehensive data security to data owners and privileged users.","PeriodicalId":268788,"journal":{"name":"2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126678899","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

Detection of Android Malicious Apps Based on the Sensitive Behaviors 基于敏感行为的Android恶意应用检测

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.115

Daiyong Quan, Lidong Zhai, Fan Yang, Peng Wang

{"title":"Detection of Android Malicious Apps Based on the Sensitive Behaviors","authors":"Daiyong Quan, Lidong Zhai, Fan Yang, Peng Wang","doi":"10.1109/TrustCom.2014.115","DOIUrl":"https://doi.org/10.1109/TrustCom.2014.115","url":null,"abstract":"The number of malicious applications (apps) targeting the Android system has exploded in recent years. The evolution of malware makes it difficult to detect for static analysis tools. Various behavior-based malware detection techniques to mitigate this problem have been proposed. The drawbacks of the existing approaches are: the behavior features extracted from a single source lead to the low detection accuracy and the detection process is too complex. Especially it is unsuitable for smart phones with limited computing power. In this paper, we extract sensitive behavior features from three sources: API calls, native code dynamic execution, and system calls. We propose a sensitive behavior feature vector for representation multi-source behavior features uniformly. Our sensitive behavior representation is able to automatically describe the low-level OS-specific behaviors and high-level application-specific behaviors of an Android malware. Based on the unified behavior feature representation, w e provide a light weight decision function to differentiate a given application benign or malicious. We tested the effectiveness of our approach against real malware and the results of our experiments show that its detection accuracy up to 96% with acceptable performance overhead. For a given threshold t (t=9), we can detect the advanced malware family effectively.","PeriodicalId":268788,"journal":{"name":"2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122517231","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: 19

On the Application and Performance of MongoDB for Climate Satellite Data MongoDB在气候卫星数据中的应用与性能研究

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.84

P. Ameri, U. Grabowski, Jörg Meyer, A. Streit

引用次数: 18

Trusted Geolocation-Aware Data Placement in Infrastructure Clouds 基础设施云中的可信地理位置感知数据放置

2014 IEEE 13th International Conference on Trust, Security and Privacy in Computing and Communications Pub Date : 2014-09-24 DOI: 10.1109/TrustCom.2014.47

Nicolae Paladi, Mudassar Aslam, C. Gehrmann

引用次数: 9