The Attacker Might Also Do Next: ATT&CK Behavior Forecasting by Attacker-based Collaborative Filtering and Graph Databases

Author:

Kuwano Masaki1,Okuma Momoka1,Okada Satoshi2,Mitsunaga Takuho1

Affiliation:

1. Toyo University

2. The University of Tokyo

Publisher

Information Processing Society of Japan

Subject

General Computer Science

Reference34 articles.

1. [1] Kuwano, M., Okuma, M., Okada, S. and Mitsunaga, T.: ATT&CK Behavior Forecasting based on Collaborative Filtering and Graph Databases, 2022 IEEE International Conference on Computing (ICOCO), pp.191-197 (2022).

2. [2] Abbate, P.: Internet Crime Report, Technical Report 1-33, Federal Bureau of Investigation, NY (2021).

3. [3] Crowley, C. and Pescatore, J.: A SANS 2021 Survey:Security Operations Center (SOC), Technical Report 1-22, SANS, NY (2021).

4. [4] Strom, B.E., Battaglia, J.A., Kemmerer, M.S., Kupersanin, W., Miller, D.P., Wampler, C., Whitley, S.M. and Wolf, R.D.: Finding Cyber Threats with ATT&CKTM-Based Analytics, Technical Report 1-53, The MITRE Corporation, MA (2017).

5. [5] Schafer, J.B., Konstan, J. and Riedl, J.: Recommender Systems in E-Commerce, Proc. 1st ACM Conference on Electronic Commerce, pp.158-166 (1999).

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