Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream

Vahid Behzadan, Carlos Aguirre, Avishek Bose, William Hsu

Research output: Contribution to conferencePaperResearch

Abstract

© 2018 IEEE. This paper presents a framework for detection and classification of cyber threat indicators in the Twitter stream. Contrary to the bulk of similar proposals that rely on manually-designed heuristics and keywordbased filtering of tweets, our framework provides a data-driven approach for modeling and classification of tweets that are related to cybersecurity events. We present a cascaded Convolutional Neural Network (CNN) architecture, comprised of a binary classifier for detection of cyber-related tweets, and a multi-class model for the classification of cyber-related tweets into multiple types of cyber threats. Furthermore, we present an open-source dataset of 21000 annotated cyber-related tweets to facilitate the validation and further research in this area.
Original languageAmerican English
Pages5002-5007
Number of pages4501
DOIs
StatePublished - 22 Jan 2019
Externally publishedYes
EventProceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 -
Duration: 22 Jan 2019 → …

Conference

ConferenceProceedings - 2018 IEEE International Conference on Big Data, Big Data 2018
Period22/01/19 → …

Fingerprint

Classifiers
Network architecture
Neural networks
Deep learning

Cite this

Behzadan, V., Aguirre, C., Bose, A., & Hsu, W. (2019). Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream. 5002-5007. Paper presented at Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, . https://doi.org/10.1109/BigData.2018.8622506
Behzadan, Vahid ; Aguirre, Carlos ; Bose, Avishek ; Hsu, William. / Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream. Paper presented at Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, .4501 p.
@conference{c414f646b04e447d866cf8c6b8590358,
title = "Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream",
abstract = "{\circledC} 2018 IEEE. This paper presents a framework for detection and classification of cyber threat indicators in the Twitter stream. Contrary to the bulk of similar proposals that rely on manually-designed heuristics and keywordbased filtering of tweets, our framework provides a data-driven approach for modeling and classification of tweets that are related to cybersecurity events. We present a cascaded Convolutional Neural Network (CNN) architecture, comprised of a binary classifier for detection of cyber-related tweets, and a multi-class model for the classification of cyber-related tweets into multiple types of cyber threats. Furthermore, we present an open-source dataset of 21000 annotated cyber-related tweets to facilitate the validation and further research in this area.",
author = "Vahid Behzadan and Carlos Aguirre and Avishek Bose and William Hsu",
year = "2019",
month = "1",
day = "22",
doi = "10.1109/BigData.2018.8622506",
language = "American English",
pages = "5002--5007",
note = "Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018 ; Conference date: 22-01-2019",

}

Behzadan, V, Aguirre, C, Bose, A & Hsu, W 2019, 'Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream' Paper presented at Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, 22/01/19, pp. 5002-5007. https://doi.org/10.1109/BigData.2018.8622506

Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream. / Behzadan, Vahid; Aguirre, Carlos; Bose, Avishek; Hsu, William.

2019. 5002-5007 Paper presented at Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, .

Research output: Contribution to conferencePaperResearch

TY - CONF

T1 - Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream

AU - Behzadan, Vahid

AU - Aguirre, Carlos

AU - Bose, Avishek

AU - Hsu, William

PY - 2019/1/22

Y1 - 2019/1/22

N2 - © 2018 IEEE. This paper presents a framework for detection and classification of cyber threat indicators in the Twitter stream. Contrary to the bulk of similar proposals that rely on manually-designed heuristics and keywordbased filtering of tweets, our framework provides a data-driven approach for modeling and classification of tweets that are related to cybersecurity events. We present a cascaded Convolutional Neural Network (CNN) architecture, comprised of a binary classifier for detection of cyber-related tweets, and a multi-class model for the classification of cyber-related tweets into multiple types of cyber threats. Furthermore, we present an open-source dataset of 21000 annotated cyber-related tweets to facilitate the validation and further research in this area.

AB - © 2018 IEEE. This paper presents a framework for detection and classification of cyber threat indicators in the Twitter stream. Contrary to the bulk of similar proposals that rely on manually-designed heuristics and keywordbased filtering of tweets, our framework provides a data-driven approach for modeling and classification of tweets that are related to cybersecurity events. We present a cascaded Convolutional Neural Network (CNN) architecture, comprised of a binary classifier for detection of cyber-related tweets, and a multi-class model for the classification of cyber-related tweets into multiple types of cyber threats. Furthermore, we present an open-source dataset of 21000 annotated cyber-related tweets to facilitate the validation and further research in this area.

UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85062605678&origin=inward

UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85062605678&origin=inward

U2 - 10.1109/BigData.2018.8622506

DO - 10.1109/BigData.2018.8622506

M3 - Paper

SP - 5002

EP - 5007

ER -

Behzadan V, Aguirre C, Bose A, Hsu W. Corpus and Deep Learning Classifier for Collection of Cyber Threat Indicators in Twitter Stream. 2019. Paper presented at Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, . https://doi.org/10.1109/BigData.2018.8622506