Big IoT Data Stream Analytics with Issues in Privacy and Security
| Title | Big IoT Data Stream Analytics with Issues in Privacy and Security |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Khan, Latifur |
| Conference Name | Proceedings of the Fourth ACM International Workshop on Security and Privacy Analytics |
| Publisher | ACM |
| ISBN Number | 978-1-4503-5634-3 |
| Keywords | big data privacy, data analytics, IoT, pubcrawl, Security and Privacy, stream data |
| Abstract | Internet of Things (IoT) Devices are monitoring and controlling systems that interact with the physical world by collecting, processing and transmitting data using the internet. IoT devices include home automation systems, smart grid, transportation systems, medical devices, building controls, manufacturing and industrial control systems. With the increase in deployment of IoT devices, there will be a corresponding increase in the amount of data generated by these devices, therefore, resulting in the need of large scale data processing systems to process and extract information for efficient and impactful decision making that will improve quality of living. |
| DOI | 10.1145/3180445.3180455 |
| Citation Key | khan_big_2018 |