Title | HackerNets: Visualizing Media Conversations on Internet of Things, Big Data, and Cybersecurity |
Publication Type | Conference Paper |
Year of Publication | 2019 |
Authors | Van, Hao, Nguyen, Huyen N., Hewett, Rattikorn, Dang, Tommy |
Conference Name | 2019 IEEE International Conference on Big Data (Big Data) |
Date Published | dec |
Keywords | Big Data, Collaboration, composability, Computer science, computer security, cybersecurity, Data visualization, Human Behavior, interactive visualization, Internet of Things, Media User Network, Metrics, Policy-Governed Secure Collaboration, pubcrawl, resilience, Resiliency, Scalability, science of security, Social Media Mining, Social network services, Venn Diagram |
Abstract | The giant network of Internet of Things establishes connections between smart devices and people, with protocols to collect and share data. While the data is expanding at a fast pace in this era of Big Data, there are growing concerns about security and privacy policies. In the current Internet of Things ecosystems, at the intersection of the Internet of Things, Big Data, and Cybersecurity lies the subject that attracts the most attention. In aiding users in getting an adequate understanding, this paper introduces HackerNets, an interactive visualization for emerging topics in the crossing of IoT, Big Data, and Cybersecurity over time. To demonstrate the effectiveness and usefulness of HackerNets, we apply and evaluate the technique on the dataset from the social media platform. |
DOI | 10.1109/BigData47090.2019.9006417 |
Citation Key | van_hackernets_2019 |