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This work is cited by the following items of the Benford Online Bibliography:
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Iorliam, A (2016). Application of power laws to biometrics, forensics and network traffic analysis. PhD Thesis, University of Surrey.





Iorliam, A (2019). Combination of Natural Laws (Benford’s Law and Zipf’s Law) for Fake News Detection. In: Cybersecurity in Nigeria. SpringerBriefs in Cybersecurity. Springer, Cham. DOI:10.1007/9783030152109_3.





Iorliam, A (2019). Natural Laws (Benford’s Law and Zipf’s Law) for Network Traffic Analysis. In: Cybersecurity in Nigeria. SpringerBriefs in Cybersecurity. Springer, Cham, pp. 322. ISSN/ISBN:9783030152109. DOI:10.1007/9783030152109_2.





Maurus, S and Plant, C (2017). Let's See Your Digits: AnomalousState Detection using Benford's Law. Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August 2017, pp. 977–986. DOI:10.1145/3097983.3098101.





Tirunagari, S, Abasolo, D, Iorliam, A, Ho, ATS and Poh, N (2017). Using Benford’s Law to Detect Anomalies in Electroencephalogram: An Application to Detecting Alzheimer’s Disease. In: Proceedings of 2017 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Manchester, 2017, pp. 16. DOI:10.1109/CIBCB.2017.8058547.




