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Key Factors Affecting User Adoption of Open-Access Data Repositories in intelligence and security informatics: An Affordance Perspective

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ACM TRANSACTIONS ON MANAGEMENT INFORMATION SYSTEMS 2022年第1期13卷 10-10页

作者： Wen, Bo Hu, Paul Jen-Hwa Ebrahimi, Mohammadreza Chen, Hsinchun Univ Utah David Eccles Sch Business Dept Operat & Informat Syst Salt Lake City UT 84112 USA Univ S Florida Muma Coll Business Sch Informat Syst & Management Tampa FL 33620 USA Univ Arizona Dept Management Informat Syst Tucson AZ 85721 USA

Rich, diverse cybersecurity data are critical for efforts by the intelligence and security informatics (ISI) community. Although open-access data repositories (OADRs) provide tremendous benefits for ISI researchers and practitioners, determinants of their adoption remain understudied. Drawing on affordance theory and extant ISI literature, this study proposes a factor model to explain how the essential and unique affordances of an OADR (i.e., relevance, accessibility, and integration) affect individual professionals' intentions to use and collaborate with AZSecure, a major OADR. A survey study designed to test the model and hypotheses reveals that the effects of affordances on ISI professionals' intentions to use and collaborate are mediated by perceived usefulness and ease of use, which then jointly determine their perceived value. This study advances ISI research by specifying three important affordances of OADRs;it also contributes to extant technology adoption literature by scrutinizing and affirming the interplay of essential user acceptance and value perceptions to explain ISI professionals' adoptions of OADRs.

关键词： intelligence and security informatics open-access data repositories affordance theory user technology adoption perceived value technology acceptance

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Open Source Social Media Analytics for intelligence and security informatics Applications 4th

Open Source Social Media Analytics for Intelligence and Secu...

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4th International Conference on Big Data Analytics (BDA)

作者： Agarwal, Swati Sureka, Ashish Goyal, Vikram Delhi IIITD Indraprastha Inst Informat Technol New Delhi India SARL New Delhi India

ISBN: (纸本)9783319270579;9783319270562

Open-Source intelligence (OSINT) is intelligence collected and inferred from publicly available and overt sources of information. Open-Source social media intelligence is a sub-field within OSINT with a focus on extracting insights from publicly available data in Web 2.0 platforms like Twitter (micro-blogging website), YouTube (video-sharing website) and Facebook (social-networking website). In this paper, we present an overview of intelligence and security informatics (ISI) applications in the domain of open-source social media intelligence. We present technical challenges and introduce basic Machine Learning based framework, tools and techniques within the context of open-source social media intelligence using two case-studies. The focus of the paper is on mining free-form textual content present in social media websites. In particular we describe two important application: online radicalization and civil unrest. In addition to covering basic concepts and applications, we discuss open research problem, important papers, publication venues, research results and future directions.

关键词： Information retrieval intelligence and security informatics Machine learning Mining user generated content Open-Source intelligence Social media analytics

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Collaboration Pattern and Topic Analysis on intelligence and security informatics Research

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IEEE INTELLIGENT SYSTEMS 2014年第3期29卷 39-46页

作者： Liu, Wenli Zheng, Xiaolong Wang, Tao Wang, Hui Natl Univ Def Technol Ctr Mil Computat Expt & Parallel Syst Techol Changsha Peoples R China Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100864 Peoples R China

In this article, researcher collaboration patterns and research topics on intelligence and security informatics (ISI) are investigated using social network analysis approaches. The collaboration networks exhibit scale-free property and small-world effect. From these networks, the authors obtain the key researchers, institutions, and three important topics.

关键词： groupware security of data social networking (online) collaboration pattern intelligence and security informatics research scale-free property small-world effect social network analysis approach topic analysis Collaboration Computer security informatics Intelligent systems Network security Social network services Terrorism ISI intelligence and security informatics intelligent systems social network analysis topic analysis

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intelligence and security informatics: developing curricular modules in context (abstract only) 14

Intelligence and security informatics: developing curricular...

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Proceedings of the 45th ACM technical symposium on Computer science education

作者： Wingyan Chung Albert Chan Daniel Plante Ray Villalobos Joseph Woodside Stetson University DeLand FL USA Fayetteville State U. Fayetteville NC USA Stetson U. DeLand FL USA Seminole State College Sanford FL USA Stetson U. Deland FL USA

ISBN: (纸本)9781450326056

intelligence and security informatics (ISI) is a cross-disciplinary field that connects advanced information technologies, systems, algorithms, and databases with international, national and homeland security related applications. Our NSF-funded project, titled Computing in Context, has a focus of developing new teaching modules and pedagogies for the ISI discipline at the undergraduate level. In this poster, we present five exemplar modules that we developed for the ISI discipline: database design for cybercrime investigation, securing private data on the Internet, data visualization for understanding privacy sentiment, security intelligence for healthcare mobility, and program design for digital forensics. Our materials are designed for inquiry-based learning and for active engagement of students through discussion, hands-on practices, and various exercises.

关键词： computing in context intelligence and security informatics data privacy active learning inquiry-based learning curricular module development database development business intelligence and analytics

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A Public Psychological Pressure Index for Social Networks

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IEEE ACCESS 2020年 8卷 23457-23469页

作者： Zhang, Hong-Li Jin, Rui Zhang, Yu Tian, Zhihong Harbin Inst Technol Harbin 15001 Peoples R China Guangzhou Univ Cyberspace Inst Adv Technol Guangzhou 510006 Peoples R China

With the worldwide proliferation of social networks, public opinion analysis of data generated by social networks has become an important field of research. Social networks have become a major platform for public opinion formation and diffusion, and analyzing public opinion through social network data plays an important role across numerous fields, including political science, economics, commerce, finance, international trade, public policy implementation and so on. Nevertheless, the corresponding quantitative indexes of public opinion analysis have not yet been developed, and the theoretical foundation underpinning such indexes has yet to be established. How to measure public opinion through social network data is a significant problem in need of the development of a series of quantitative assessment indices and social computing methods that can be used to solve this problem. This paper proposes both the concept of a public psychological pressure index and its calculation method, making it a fundamental work in the field of public opinion analysis. The maximum entropy principle is introduced to the social computing domain in this paper and positions it as the theoretical foundation underpinning such indexes.

关键词： Information entropy intelligence and security informatics public information security public opinion analysis public psychological pressure index social computing

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A Collision of Beliefs: Investigating Linguistic Features for Religious Conflicts Identification on Tumblr 13th

A Collision of Beliefs: Investigating Linguistic Features fo...

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13th International Conference on Distributed Computing and Internet Technology (ICDCIT)

作者： Agarwal, Swati Sureka, Ashish Indraprastha Inst Informat Technol Delhi IIITD Delhi India ABB Corp Res Bangalore Karnataka India

ISBN: (纸本)9783319504728;9783319504711

Research shows that with the unexpected emergence of religion and faith, identifying religious conflicts within society has become an important problem for the government and law enforcement agencies. Many social science researchers and domain experts conduct manual surveys on offline and online bases for finding such conflicts. On the other hand, it is seen that people use social media websites for sharing their religious opinions, sentiments and beliefs. We create a hypothesis that social media websites are a rich source of information for mining these beliefs and automatically identifying the religious conflicts among users which overcomes the gaps of offline studies. In this paper, we address the challenge of ambiguity and multilingual scripts in social media posts and distinguish them into various religious sentiments of users. In order to evaluate our hypothesis, we conduct our study on Tumblr-the second most popular online micro-blogging service. We create a dataset of all Tumblr posts (published since 2007) consisting of several tags commonly used in religion based posts and make it publicly available for bench-marking and comparison. We investigate the efficiency of natural language based features for identifying the Tumblr posts that discuss about a religion and belong to one of the nine categories of users' sentiments. For example, disagreement, defensive, annoyed and disappointment. We manually analyze these posts and our result shows the proposed features are discriminatory and support our hypothesis. Furthermore, our results reveal that despite the subjectivity in Tumblr posts, it is technically challenging to mine the religious sentiments of bloggers.

关键词： intelligence and security informatics Mining user generated data Religious conflicts Social computing Text classification Tumblr

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Role of Author Personality Traits for Identifying Intent Based Racist Posts 7

Role of Author Personality Traits for Identifying Intent Bas...

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Conference on European intelligence and security informatics Conference (EISIC)

作者： Agarwal, Swati Sureka, Ashish IIIT Delhi New Delhi India ABB Corp Res Bangalore Karnataka India

ISBN: (纸本)9781509028573

Research shows that people misuse freedom of expressions to post hateful comments about various religion and race. In this paper, we define our problem of radicalization and racism detection as an intent based classification problem that identifies a post to be radicalized or racist based on the motive of the author. We demonstrate the effectiveness of authors' personality traits in order to identify a post having such intent.

关键词： intelligence and security informatics Mining User Generated Content Personality Traits Text Classification

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But I did not Mean It!- Intent Classification of Racist Posts on Tumblr 7

But I did not Mean It!- Intent Classification of Racist Post...

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Conference on European intelligence and security informatics Conference (EISIC)

作者： Agarwal, Swati Sureka, Ashish Indraprastha Inst Informat Technol New Delhi India ABB Corp Res Bangalore Karnataka India

ISBN: (纸本)9781509028573

Research shows that many like-minded people use popular microblogging websites for posting hateful speech against various religions and race. Automatic identification of racist and hate promoting posts is required for building social media intelligence and security informatics based solutions. However, just keyword spotting based techniques cannot be used to accurately identify the intent of a post. In this paper, we address the challenge of the presence of ambiguity in such posts. We conduct our study on Tumblr microblogging website and develop a cascaded ensemble learning classifier for identifying the posts having racist or radicalized intent. We train our model by identifying various semantic, sentiment and linguistic features from free-form text. Our experimental results shows that the proposed approach is effective and the social tendencies, language cues and personality traits of a narrative are discriminatory features for classifying the posts with racist intent.

关键词： intelligence and security informatics Intent Classification Machine Learning Mining User Generated Content Semantic Analysis Sentiment and Tone Analysis Social Media Analytics Text Classification Tumblr

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Using Common-Sense knowledge-base for Detecting Word Obfuscation in Adversarial Communication 7

Using Common-Sense knowledge-base for Detecting Word Obfusca...

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7th International Conference on Communication Systems and Networks

作者： Agarwal, Swati Sureka, Ashish Indraprasath Inst Informat & Technol Delhi Delhi India

ISBN: (纸本)9781479984398

Word obfuscation or substitution means replacing one word with another word in a sentence to conceal the textual content or communication. Word obfuscation is used in adversarial communication by terrorist or criminals for conveying their messages without getting red-flagged by security and intelligence agencies intercepting or scanning messages (such as emails and telephone conversations). ConceptNet is a freely available semantic network represented as a directed graph consisting of nodes as concepts and edges as assertions of common sense about these concepts. We present a solution approach exploiting vast amount of semantic knowledge in ConceptNet for addressing the technically challenging problem of word substitution in adversarial communication. We frame the given problem as a textual reasoning and context inference task and utilize ConceptNet's natural-language-processing tool-kit for determining word substitution. We use ConceptNet to compute the conceptual similarity between any two given terms and define a Mean Average Conceptual Similarity (MACS) metric to identify out-of-context terms. The test-bed to evaluate our proposed approach consists of Enron email dataset (having over 600000 emails generated by 158 employees of Enron Corporation) and Brown corpus (totaling about a million words drawn from a wide variety of sources). We implement word substitution techniques used by previous researches to generate a test dataset. We conduct a series of experiments consisting of word substitution methods used in the past to evaluate our approach. Experimental results reveal that the proposed approach is effective.

关键词： ConceptNet intelligence and security informatics Natural Language Processing Semantic Similarity Word Substitution

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Computing in context (abstract only) 13

Computing in context (abstract only)

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Proceeding of the 44th ACM technical symposium on Computer science education

作者： Robert E. Beck Edward Carr Wingyan Chung Edward Fox Christine Nass Villanova University Villanova PA USA North Carolina A&T Greensboro NC USA Fayetteville State University Fayetteville NC USA Virginia Tech Blacksburg VA USA

ISBN: (纸本)9781450318686

As computing moves into its sixth decade as a formal field of study, a great deal of attention is focused on the breadth of relationships between computing and other disciplines. Descriptors of this relationship include computing in context, computing with a purpose, computing + X, computational X, interdisciplinary computing, multi-disciplinary computing, and trans-disciplinary computing. Regardless of the descriptor, the goals for exploring the relationship remain the same: students need to understand how the power of computing informs and shapes ideas throughout the academy and society. They need to learn appropriate concepts in computing and to see these applied to other areas of study. This learning will be most effective when approached through active participation of students, as they tackle questions and problems coming from society's ever-growing and ever-changing reliance on computing devices and modes of interaction. Our NSF-funded project, titled Computing in Context, fosters interdisciplinary computing education by creating exemplars of curricular materials, testing these materials in undergraduate computing courses, and disseminating the materials through ***. We focus our effort on four areas of applied computing: computational linguistics, computing and music intelligence and security informatics, and web science. Our materials will be designed for inquiry-based learning, whether this occurs in lecture as a brief conversation between pairs of students or in lab as loosely formulated problem or scenario or as a multi-week, team-based project.

关键词： intelligence and security informatics web science computing and music computational linguistics

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