Abstract
The exponential growth in data and technology have brought in prospects for progressively destructive cyber-attacks. Traditional security controls are struggling to match with the intricacy of cybercriminal tools and methods, organizations are now looking for better approaches to strengthen their cyber security capabilities. Cyber Threat Intelligence (CTI) in real-time is one such proactive approach which ensures that deployed appliances, security solutions and strategies are continually evaluated or optimized. Amongst various platforms for threat intelligence, hacker forums deliver affluent metadata, and thousands of Tools, Techniques, and Procedures (TTP). This research paper employs machine learning and deep learning approach using neural networks to automatically classify hacker forum data into predefined categories and develop interactive visualizations that enables CTI practitioners to probe collected data for proactive and opportune CTI. The results from this research shows that among all the models, deep learning model RNN GRU gives the best classification results with 99.025% accuracy and 96.56% precision.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Deliu, I.: Extracting cyber threat intelligence from hacker forums, Master’s thesis. NTNU (2017)
Williams, R., Samtani, S., Patton, M., Chen, H.: Incremental hacker forum exploit collection and classification for proactive cyber threat intelligence: an exploratory study, pp. 94–99 (2018). https://doi.org/10.1109/isi.2018.8587336
Samtani, S., Chinn, R., Chen, H., Nunamaker, J.: Exploring emerging hacker assets and key hackers for proactive cyber threat intelligence. J. Manag. Inf. Syst. 34, 1023–1053 (2017). https://doi.org/10.1080/07421222.2017.1394049
Grisham, J., Samtani, S., Patton, M., Chen, H.: Identifying mobile malware and key threat actors in online hacker forums for proactive cyber threat intelligence, pp. 13–18 (2017). https://doi.org/10.1109/isi.2017.8004867
Nunes, E., Diab, A., Gunn, A., Marin, E., Mishra, V., Paliath, V., Robertson, J., Shakarian, J., Thart, A., Shakarian, P.: DarkNet and DeepNet mining for proactive cybersecurity threat intelligence, pp. 7–12 (2016). https://doi.org/10.1109/isi.2016.7745435
Kim, B.I., Kim, N., Lee, S., Cho, H., Park, J.: A study on a cyber threat intelligence analysis (CTI) platform for the proactive detection of cyber attacks based on automated analysis. In: 2018 International Conference on Platform Technology and Service (PlatCon), Jeju, pp. 1–6 (2018)
Ranade, P., Mittal, S., Joshi, A., Joshi, K.P.: Understanding multi-lingual threat intelligence for AI based cyber-defense systems. In: IEEE International Symposium on Technologies for Homeland Security, October 2018
Kim, D., Kim, H.K.: Automated dataset generation system for collaborative research of cyber threat intelligence analysis. CoRR, abs/1811.10050 (2018)
Samtani, S., Chinn, K., Larson, C., Chen, H.: AZSecure hacker assets portal: cyber threat intelligence and malware analysis. In: 2016 IEEE Conference on Intelligence and Security Informatics (ISI), Tucson, AZ, pp. 19–24 (2016)
Li, K., Wen, H., Li, H., Zhu, H., Sun, L.: Security OSIF: toward automatic discovery and analysis of event based cyber threat intelligence. In: 2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), Guangzhou, pp. 741–747 (2018)
Goyal, P., Hossain, K.S., Deb, A., Tavabi, N., Bartley, N., Abeliuk, A., Ferrara, E., Lerman, K.: Discovering signals from web sources to predict cyber attacks. CoRR, abs/1806.03342 (2018)
Sapienza, A., Ernala, S.K., Bessi, A., Lerman, K., Ferrara, E.: DISCOVER: mining online chatter for emerging cyber threats. In: Companion Proceedings of the Web Conference 2018 (WWW 2018). International World Wide Web Conferences Steering Committee, pp. 983–990. Republic and Canton of Geneva, Switzerland (2018)
Mavroeidis, V., Jøsang, A.: Data-driven threat hunting using sysmon. In: Proceedings of the 2nd International Conference on Cryptography, Security and Privacy, pp. 82–88. ACM, March 2018
Cohen, R., Chesla, A., Medalion, S., Katz, R.: U.S. Patent Application No. 15/433,647 (2018)
Other Forums: AZSecure-data.org. https://www.azsecure-data.org/other-forums.html. Accessed 20 Apr 2019
Related Words - Find Words Related to Another Word. https://relatedwords.org/relatedto/cyber%20security. Accessed 20 Apr 2019
Pennington, J.: August 2014. https://nlp.stanford.edu/projects/glove/. Accessed 20 Apr 2019
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Gautam, A.S., Gahlot, Y., Kamat, P. (2020). Hacker Forum Exploit and Classification for Proactive Cyber Threat Intelligence. In: Smys, S., Bestak, R., Rocha, Á. (eds) Inventive Computation Technologies. ICICIT 2019. Lecture Notes in Networks and Systems, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-33846-6_32
Download citation
DOI: https://doi.org/10.1007/978-3-030-33846-6_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33845-9
Online ISBN: 978-3-030-33846-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)