Big Data Analytics Architecture for Security Intelligence
| Title | Big Data Analytics Architecture for Security Intelligence |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Dauda, Ahmed, Mclean, Scott, Almehmadi, Abdulaziz, El-Khatib, Khalil |
| Conference Name | Proceedings of the 11th International Conference on Security of Information and Networks |
| Publisher | ACM |
| ISBN Number | 978-1-4503-6608-3 |
| Keywords | analytics architecture, Big Data, composability, Computational Intelligence, human factors, Metrics, pubcrawl, Scalability, security intelligence, text analytics |
| Abstract | The need for security1 continues to grow in distributed computing. Today's security solutions require greater scalability and convenience in cloud-computing architectures, in addition to the ability to store and process larger volumes of data to address very sophisticated attacks. This paper explores some of the existing architectures for big data intelligence analytics, and proposes an architecture that promises to provide greater security for data intensive environments. The architecture is designed to leverage the wealth in the multi-source information for security intelligence. |
| URL | https://dl.acm.org/citation.cfm?doid=3264437.3264474 |
| DOI | 10.1145/3264437.3264474 |
| Citation Key | dauda_big_2018 |