| Title | Big Data Security Issues and Natural Language Processing |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Thejaswini, S, Indupriya, C |
| Conference Name | 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI) |
| Keywords | advanced persistent threat, advanced persistent threat detection, Big Data, big data security issues, Computer crime, Conferences, cyber security, cyber security issues, cyber-attacks, data privacy, DNS, Human Behavior, information assurance, Information security, Malware, natural language processing, natural language processing technology, Organizations, phishing, pubcrawl, Resiliency, Scalability, security, spam detection, vulnerability analysis |
| Abstract | Whenever we talk about big data, the concern is always about the security of the data. In recent days the most heard about technology is the Natural Language Processing. This new and trending technology helps in solving the ever ending security problems which are not completely solved using big data. Starting with the big data security issues, this paper deals with addressing the topics related to cyber security and information security using the Natural Language Processing technology. Including the well-known cyber-attacks such as phishing identification and spam detection, this paper also addresses issues on information assurance and security such as detection of Advanced Persistent Threat (APT) in DNS and vulnerability analysis. The goal of this paper is to provide the overview of how natural language processing can be used to address cyber security issues. |
| DOI | 10.1109/ICOEI.2019.8862744 |
| Citation Key | thejaswini_big_2019 |
Big Data Security Issues and Natural Language Processing