| Autor: |
Seong Oun Hwang, Taekyoung Kwon, Wei-Chuen Yau, DaeHun Nyang |
| Jazyk: |
angličtina |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
ETRI Journal, Vol 41, Iss 5, Pp 557-559 (2019) |
| Druh dokumentu: |
article |
| ISSN: |
1225-6463 |
| DOI: |
10.4218/etr2.12236 |
| Popis: |
We are facing a big data world, embedded with interconnected IoT (Internet of Things) devices that generate large volumes of data. They pose a significant challenge to academia and industries focused on digital security: A variety of new malware and other threats are emerging at a fast pace, and existing preventive methods are struggling to deal with them within the golden time by depending solely on the known attack signature. Recently, there has been considerable advancement in computing, particularly in the field of Artificial Intelligence (AI). Advanced technologies such as Machine Learning and Deep Learning are being actively deployed in cyber security, and new results and issues have been reported. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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