美国福德汉姆大学（Fordham University）Md Zakirul Alam Bhuiyan博士学术报告
撰稿人:彭滔 发布时间：2017年07月16日 10:13
题目: Big Data Veracity Perspective: What it is and Why It Matters
报告人: Md Zakirul Alam Bhuiyan博士 美国福德汉姆大学（Fordham University）
Big data is a term that not only describes a large Volume of data, but also includes Velocity, Verity, and Veracity with both structured and unstructured data format. Big data challenges include collecting data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information privacy. Among the four Vs, veracity is still not remarkably addressed, particularly with the first challenge (data collection). Veracity basically refers to the biases, noise and abnormality in data. One question may arise, is the collected data that is being stored, transfer, and mined meaningful to the problem being analyzed? We have numerous applications of sensor networks, wireless networks, internet of things, and cyber physical systems. In the applications, devices need to collect data for the monitoring purposes and there are substantial works available to provide the data security and data privacy to transmit the collected data. However, there can be a big question, what would be the situation if low-quality, untrustworthy, meaningless, or undependable data are collected at the collection stage, and we use various communication protocols to transfer the data for monitoring purposes. Also, what would be the situation when you use various data privacy protocols at the communication stage, data privacy can be attacked at the collection stage. In this talk, I discuss these situations. Particularly, I focus on ensuring trustworthy data acquisition before transmission. I also discuss a few problems and possible solutions for the trustworthy data and its privacy at the collection stage.
Md Zakirul Alam Bhuiyan is currently an assistant professor of the Department of Computer and Information Sciences at the Fordham University, USA. Earlier, he worked as an assistant professor at the Temple University and a post-doctoral fellow at the Central South University, China, a research assistant at the Hong Kong PolyU, and a software engineer in industries. His research focuses on dependable cyber physical systems, WSN applications, big data, cloud computing, and cyber security. He serves as a lead guest editor of IEEE TBD, ACM TCPS, Information Sciences, and so on. He also serves as a general chair, program chair, workshop chair, publicity chair, TPC member, and reviewer of international journals/ conferences. He received the IEEE TCSC Award for Excellence in Scalable Computing for Early Career Researchers (2016-2017) and the IEEE Outstanding Leadership Award (2016). He is a member of IEEE and a member of ACM