2019 IEEE International Conference on Intelligence and Security Informatics (ISI)最新文献

Securing Machine Learning Engines in IoT Applications with Attribute-Based Encryption 使用基于属性的加密保护物联网应用中的机器学习引擎

2019 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2019-07-01 DOI: 10.1109/ISI.2019.8823199

Agus Kurniawan, M. Kyas

引用次数: 3

ISI 2019 Author Index ISI 2019作者索引

2019 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2019-07-01 DOI: 10.1109/isi.2019.8823197

引用次数: 0

Cyber Security and Data Governance Roles and Responsibilities at the C-Level and the Board c级和董事会的网络安全和数据治理角色和职责

2019 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2019-07-01 DOI: 10.1109/ISI.2019.8823534

B. Thuraisingham

引用次数: 5

Capturing Deep Dynamic Information for Mapping Users across Social Networks 捕获深度动态信息映射用户跨社交网络

2019 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2019-07-01 DOI: 10.1109/ISI.2019.8823341

C. Cai, Linjing Li, Weiyun Chen, D. Zeng

引用次数: 2

User Preferences and Situational Needs of Mobile User Authentication Methods 移动用户认证方法的用户偏好和情境需求

2019 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2019-07-01 DOI: 10.1109/ISI.2019.8823274

Kanlun Wang, Lina Zhou, Dongsong Zhang

引用次数: 5

Efficient Adversarial Chaff Generation for Challenge-Response Authentication Over Unsecure Networks with an Application to Civilian Radio Networks 不安全网络挑战-响应认证的高效对抗性箔条生成及其在民用无线网络中的应用

2019 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2019-07-01 DOI: 10.1109/ISI.2019.8823381

B. Kitts, Andrew Potter

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引用次数: 0

Building Terrorist Knowledge Graph from Global Terrorism Database and Wikipedia 从全球恐怖主义数据库和维基百科构建恐怖分子知识图谱

2019 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2019-07-01 DOI: 10.1109/ISI.2019.8823450

Tian Xia, Yijun Gu

引用次数: 10

Massive Meme Identification and Popularity Analysis in Geopolitics 地缘政治中的海量模因识别与流行分析

2019 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2019-07-01 DOI: 10.1109/ISI.2019.8823294

Saike He, Hongtao Yang, Xiaolong Zheng, Bo Wang, Yujun Zhou, Yanjun Xiong, D. Zeng

{"title":"Massive Meme Identification and Popularity Analysis in Geopolitics","authors":"Saike He, Hongtao Yang, Xiaolong Zheng, Bo Wang, Yujun Zhou, Yanjun Xiong, D. Zeng","doi":"10.1109/ISI.2019.8823294","DOIUrl":"https://doi.org/10.1109/ISI.2019.8823294","url":null,"abstract":"Geopolitics is a long-lasting key issue for governments and nations to assess the international political landscape. The great proliferation of social media in recently years have provided a new avenue to make such political actions in a data driven manner. As the information consumption ability of human is limited, there demands an automatic approach to effectively identify and trace the bursts continuously emerging on social media platforms. Existing studies focusing on named entities recognition or topic detection could provide useful insights for analyzing events that are already known, yet they are incapable of identifying timely emerging trending catchphrase or topics, or memes in general.To tackle with this issue, we elaborate a framework to identify online memes and trace their future dynamics. This framework identify memes based on their independency with regard to the context, and aggregate literal variants of a same meme together into a memeplex with a newly proposed MemeMesh algorithm. Evaluation results on a large scale Twitter dataset suggest that the framework could identify geopolitical memes effectively. Further exploration on meme popularity factors reveals that popularity memes tend to generate more variants during their diffusion, and establish their dominance by attracting a large volume of active users engaging in their diffusion. Causality analysis between meme diversity and user volume suggests that high diversity of meme variants can attract more users involved in spreading a meme at the initial, but these users seldom regenerate more variants in the later time.","PeriodicalId":156130,"journal":{"name":"2019 IEEE International Conference on Intelligence and Security Informatics (ISI)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122091160","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

Insider Threat Detection Based on Adaptive Optimization DBN by Grid Search 基于网格搜索自适应优化DBN的内部威胁检测

2019 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2019-07-01 DOI: 10.1109/ISI.2019.8823459

Jiange Zhang, Yue Chen, Kuiwu Yang, Jian Zhao, Xincheng Yan

引用次数: 0

Dark-Net Ecosystem Cyber-Threat Intelligence (CTI) Tool 暗网生态系统网络威胁情报(CTI)工具

2019 IEEE International Conference on Intelligence and Security Informatics (ISI) Pub Date : 2019-07-01 DOI: 10.1109/ISI.2019.8823501

N. Arnold, Mohammadreza Ebrahimi, Ning Zhang, Ben Lazarine, Mark W. Patton, Hsinchun Chen, S. Samtani

引用次数: 14