TY - GEN
T1 - Cybersecurity Text Data Classification and Optimization for CTI Systems
AU - Rodriguez, Ariel
AU - Okamura, Koji
N1 - Funding Information:
This research was supported by JSPS KAKENHI Grant Number JP16K00480.
Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020
Y1 - 2020
N2 - Cyber threat intelligence systems provide a way to prioritize alerts and allow security teams to focus on critical threats and utilize their resources more efficiently. One challenge in these systems comes in accurately classifying the data that is input and processed within the system which is critical to producing meaningful output. To tackle this problem, in this paper we research text-based cybersecurity data classification methods using a multi-layer keyword filtering method and unsupervised learning methods using doc2vec. We also look at how we can optimize the accuracy and efficiency of cyber threat intelligence systems through the use of ensemble learning. This research will help with prioritization of cyber threat intelligence systems which allow security teams to use their resources more efficiently.
AB - Cyber threat intelligence systems provide a way to prioritize alerts and allow security teams to focus on critical threats and utilize their resources more efficiently. One challenge in these systems comes in accurately classifying the data that is input and processed within the system which is critical to producing meaningful output. To tackle this problem, in this paper we research text-based cybersecurity data classification methods using a multi-layer keyword filtering method and unsupervised learning methods using doc2vec. We also look at how we can optimize the accuracy and efficiency of cyber threat intelligence systems through the use of ensemble learning. This research will help with prioritization of cyber threat intelligence systems which allow security teams to use their resources more efficiently.
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U2 - 10.1007/978-3-030-44038-1_37
DO - 10.1007/978-3-030-44038-1_37
M3 - Conference contribution
AN - SCOPUS:85083984298
SN - 9783030440374
T3 - Advances in Intelligent Systems and Computing
SP - 410
EP - 419
BT - Web, Artificial Intelligence and Network Applications - Proceedings of the Workshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020
A2 - Barolli, Leonard
A2 - Amato, Flora
A2 - Moscato, Francesco
A2 - Enokido, Tomoya
A2 - Takizawa, Makoto
PB - Springer
T2 - Workshops of the 34th International Conference on Advanced Information Networking and Applications, WAINA 2020
Y2 - 15 April 2020 through 17 April 2020
ER -