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Qadir, G, Zhao, X and Ho, ATS (2010). Estimating JPEG2000 Compression for Image Forensics Using the Benford’s Law. Proc. of SPIE Vol. 7723, pp. 77230J1 -77230J10.

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Al-Bandawi, H and Deng, G (2018). Blind image quality assessment based on Benford's law. IET Image Processing 12(11), pp. 1983 – 1993. DOI:10.1049/iet-ipr.2018.5385 . View Complete Reference Online information Works that this work references Works that reference this work
Al-Bandawi, H and Deng, G (2019). Classification of image distortion based on the generalized Benford’s law. Multimedia Tools and Applications, pp. 1-18. DOI:10.1007/s11042-019-7668-3. View Complete Reference Online information Works that this work references Works that reference this work
Hildebrandt, M and Dittmann, J (2015). Benford’s Law based detection of latent fingerprint forgeries on the example of artificial sweat printed fingerprints captured by confocal laser scanning microscopes. In: Proceedings SPIE 9409, Media Watermarking, Security, and Forensics 94090A (4 March 2015). DOI:10.1117/12.2077531. View Complete Reference Online information Works that this work references Works that reference this work
Iorliam, A (2016). Application of power laws to biometrics, forensics and network traffic analysis. PhD Thesis, University of Surrey. View Complete Reference Online information Works that this work references Works that reference this work
Iorliam, A, Ho, AT, Poh, N, Zhao, X and Xia, Z (2017). Benford's law for classification of biometric images. In: User-Centric Privacy and Security in Biometrics, Claus Vielhauer (Ed.). ISSN/ISBN:9781785612077. DOI:10.1049/PBSE004E_ch11. View Complete Reference Online information Works that this work references Works that reference this work
Iorliam, A, Ho, ATS, Waller, A and Zhao, X (2017). Using Benford's Law Divergence and Neural Networks for Classification and Source Identification of Biometric Images. In: Shi Y., Kim H., Perez-Gonzalez F., Liu F. (eds) Digital Forensics and Watermarking. IWDW 2016. Lecture Notes in Computer Science, vol 10082. Springer, Cham, pp. 88-105. DOI:10.1007/978-3-319-53465-7_7. View Complete Reference Online information Works that this work references Works that reference this work
Iorliam, A, Tirunagari, S, Ho, ATS, Li, S, Waller, A and Poh, N (2017). "Flow Size Difference" Can Make a Difference: Detecting Malicious TCP Network Flows Based on Benford's Law. arXiv:1609.04214v2 [cs.CR], last accessed February 6, 2017. View Complete Reference Online information Works that this work references Works that reference this work
Joksimović, D, Knežević, G, Pavlović, V, Ljubić, M and Surovy, V (2017). Some Aspects of the Application of Benford’s Law in the Analysis of the Data Set Anomalies. In: Knowledge Discovery in Cyberspace: Statistical Analysis and Predictive Modeling. New York: Nova Science Publishers, pp. 85–120. ISSN/ISBN:978-1-53610-566-7. View Complete Reference Online information Works that this work references Works that reference this work
Moin, SS and Islam, S (2017). Benford's law for detecting contrast enhancement. Proceedings of 2017 Fourth International Conference on Image Information Processing (ICIIP), Dec 21-23, pp. 1-4. DOI:10.1109/ICIIP.2017.8313717. View Complete Reference Online information Works that this work references Works that reference this work
Ou, F-Z, Wang, Y-G and Zhu, G (2019). A Novel Blind Image Quality Assessment Method Based On Refined Natural Scene Statistics. IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, pp. 1004-1008. DOI:10.1109/ICIP.2019.8803047. View Complete Reference Online information Works that this work references Works that reference this work
Qadir, G, Zhao, X, Ho, ATS and Casey, M (2011). Image forensic of glare feature for improving image retrieval using Benford's Law. Proceedings of 2011 IEEE International Symposium on Circuits and Systems (ISCAS), pp. 2661--2664. ISSN/ISBN:0271-4302. DOI:10.1109/ISCAS.2011.5938152. View Complete Reference Online information Works that this work references Works that reference this work
Sadaf, R (2017). Advanced Statistical Techniques For Testing Benford'S Law. Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 1(2), pp. 229-238. View Complete Reference Online information Works that this work references Works that reference this work
Singh, N and Bansal, R (2015). Analysis of Benford's law in digital image forensics. Proceedings of 2015 International Conference on Signal Processing and Communication (ICSC), pp. 413-418. DOI:10.1109/ICSPCom.2015.7150688. View Complete Reference Online information Works that this work references Works that reference this work
Sun, L, Ho, ATS, Xia, Z, Chen, J, Huang, X and Zhang, Y (2017). Detection and Classification of Malicious Patterns In Network Traffic Using Benford’s Law. 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Kuala Lumpur, pp. 864-872. DOI:10.1109/APSIPA.2017.8282154. View Complete Reference Online information Works that this work references Works that reference this work
Taimori, A, Razzazi, F, Behrad, A, Ahmadi, A and Babaie-Zadeh, M (2012). A proper transform for satisfying Benford's Law and its application to double JPEG image forensics. Proceedings of 2012 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), pp. 000240-000244. DOI:10.1109/ISSPIT.2012.6621294. View Complete Reference Online information Works that this work references Works that reference this work