Prioritized active learning for malicious URL detection using weighted text-based features

Sreyasee Das Bhattacharjee; Ashit Talukder; Ehab Al-Shaer; Pratik Doshi

doi:10.1109/ISI.2017.8004883

Prioritized active learning for malicious URL detection using weighted text-based features

Sreyasee Das Bhattacharjee
, Ashit Talukder
, Ehab Al-Shaer
, Pratik Doshi

Department of Computer Science and Engineering

University of North Carolina at Charlotte

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

18 Scopus citations

Abstract

Data analytics is being increasingly used in cyber-security problems, and found to be useful in cases where data volumes and heterogeneity make it cumbersome for manual assessment by security experts.

Original language	English
Title of host publication	2017 IEEE International Conference on Intelligence and Security Informatics
Subtitle of host publication	Security and Big Data, ISI 2017
Editors	Lina Zhou, G. Alan Wang, Chunxiao Xing, Bo Luo, Xiaolong Zheng, Hui Zhang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	107-112
Number of pages	6
ISBN (Electronic)	9781509067275
DOIs	https://doi.org/10.1109/ISI.2017.8004883
State	Published - Aug 8 2017
Event	15th IEEE International Conference on Intelligence and Security Informatics, ISI 2017 - Beijing, China Duration: Jul 22 2017 → Jul 24 2017

Publication series

Name	2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017

Conference

Conference	15th IEEE International Conference on Intelligence and Security Informatics, ISI 2017
Country/Territory	China
City	Beijing
Period	07/22/17 → 07/24/17

Keywords

active learning
cyber-security
Machine learning
Malicious threat detection
natural language processing
Phishing
security analytics

Access to Document

10.1109/ISI.2017.8004883

Cite this

Das Bhattacharjee, S., Talukder, A., Al-Shaer, E., & Doshi, P. (2017). Prioritized active learning for malicious URL detection using weighted text-based features. In L. Zhou, G. A. Wang, C. Xing, B. Luo, X. Zheng, & H. Zhang (Eds.), 2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017 (pp. 107-112). Article 8004883 (2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISI.2017.8004883

Das Bhattacharjee, Sreyasee ; Talukder, Ashit ; Al-Shaer, Ehab et al. / Prioritized active learning for malicious URL detection using weighted text-based features. 2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017. editor / Lina Zhou ; G. Alan Wang ; Chunxiao Xing ; Bo Luo ; Xiaolong Zheng ; Hui Zhang. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 107-112 (2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017).

@inproceedings{83183c0e058b42e4b89155902f0a5f7f,

title = "Prioritized active learning for malicious URL detection using weighted text-based features",

abstract = "Data analytics is being increasingly used in cyber-security problems, and found to be useful in cases where data volumes and heterogeneity make it cumbersome for manual assessment by security experts.",

keywords = "active learning, cyber-security, Machine learning, Malicious threat detection, natural language processing, Phishing, security analytics",

author = "\{Das Bhattacharjee\}, Sreyasee and Ashit Talukder and Ehab Al-Shaer and Pratik Doshi",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 15th IEEE International Conference on Intelligence and Security Informatics, ISI 2017 ; Conference date: 22-07-2017 Through 24-07-2017",

year = "2017",

month = aug,

day = "8",

doi = "10.1109/ISI.2017.8004883",

language = "English",

series = "2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "107--112",

editor = "Lina Zhou and Wang, \{G. Alan\} and Chunxiao Xing and Bo Luo and Xiaolong Zheng and Hui Zhang",

booktitle = "2017 IEEE International Conference on Intelligence and Security Informatics",

address = "United States",

}

Das Bhattacharjee, S, Talukder, A, Al-Shaer, E & Doshi, P 2017, Prioritized active learning for malicious URL detection using weighted text-based features. in L Zhou, GA Wang, C Xing, B Luo, X Zheng & H Zhang (eds), 2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017., 8004883, 2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017, Institute of Electrical and Electronics Engineers Inc., pp. 107-112, 15th IEEE International Conference on Intelligence and Security Informatics, ISI 2017, Beijing, China, 07/22/17. https://doi.org/10.1109/ISI.2017.8004883

Prioritized active learning for malicious URL detection using weighted text-based features. / Das Bhattacharjee, Sreyasee; Talukder, Ashit; Al-Shaer, Ehab et al.
2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017. ed. / Lina Zhou; G. Alan Wang; Chunxiao Xing; Bo Luo; Xiaolong Zheng; Hui Zhang. Institute of Electrical and Electronics Engineers Inc., 2017. p. 107-112 8004883 (2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Prioritized active learning for malicious URL detection using weighted text-based features

AU - Das Bhattacharjee, Sreyasee

AU - Talukder, Ashit

AU - Al-Shaer, Ehab

AU - Doshi, Pratik

PY - 2017/8/8

Y1 - 2017/8/8

N2 - Data analytics is being increasingly used in cyber-security problems, and found to be useful in cases where data volumes and heterogeneity make it cumbersome for manual assessment by security experts.

AB - Data analytics is being increasingly used in cyber-security problems, and found to be useful in cases where data volumes and heterogeneity make it cumbersome for manual assessment by security experts.

KW - active learning

KW - cyber-security

KW - Machine learning

KW - Malicious threat detection

KW - natural language processing

KW - Phishing

KW - security analytics

UR - https://www.scopus.com/pages/publications/85030220418

U2 - 10.1109/ISI.2017.8004883

DO - 10.1109/ISI.2017.8004883

M3 - Conference contribution

AN - SCOPUS:85030220418

T3 - 2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017

SP - 107

EP - 112

BT - 2017 IEEE International Conference on Intelligence and Security Informatics

A2 - Zhou, Lina

A2 - Wang, G. Alan

A2 - Xing, Chunxiao

A2 - Luo, Bo

A2 - Zheng, Xiaolong

A2 - Zhang, Hui

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 15th IEEE International Conference on Intelligence and Security Informatics, ISI 2017

Y2 - 22 July 2017 through 24 July 2017

ER -

Das Bhattacharjee S, Talukder A, Al-Shaer E, Doshi P. Prioritized active learning for malicious URL detection using weighted text-based features. In Zhou L, Wang GA, Xing C, Luo B, Zheng X, Zhang H, editors, 2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 107-112. 8004883. (2017 IEEE International Conference on Intelligence and Security Informatics: Security and Big Data, ISI 2017). doi: 10.1109/ISI.2017.8004883

Prioritized active learning for malicious URL detection using weighted text-based features

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Keywords

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