Publisher
Springer International Publishing
Reference47 articles.
1. Adewumi, A.O., Akinyelu, A.A.: A survey of machine-learning and nature-inspired based credit card fraud detection techniques. Int. J. Syst. Assur. Eng. Manage. 8, 937–953 (2017)
2. Al Jallad, K., Aljnidi, M., Said Desouki, M.: Anomaly detection optimization using big data and deep learning to reduce false-positive. J. Big Data. 7(1), 68 (2020)
3. Paul Assendorp, J.: Deep learning for anomaly detection in multivariate time series data. Masters thesis, Hochschule für Angewandte Wissenschaften Hamburg, Hamburg University of Applied Sciences, November 2017
4. Bao, H., Rongxing, L., Li, B., Deng, R.: BLITHE: behavior rule-based insider threat detection for smart grid. IEEE Internet Things J. 3(2), 190–205 (2016)
5. Alison, J.C., Bell, M., Rogers, B., Pearce, J.M.: Behavioral indicators and factors influencing likelihood of intervention: the insider threat. Int. J. Critic. Infrastruct. Prot. 24, 166–176 (2019)