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Fernandes, P and Antunes, M (2023). Benford’s law applied to digital forensic analysis. Forensic Science International: Digital Investigation 45, p. 301515.

This work cites the following items of the Benford Online Bibliography:

Berger, A and Hill, TP (2011). A basic theory of Benford's Law . Probability Surveys 8, pp. 1-126. DOI:10.1214/11-PS175. View Complete Reference Online information Works that this work references Works that reference this work
Berger, A and Hill, TP (2015). An Introduction to Benford's Law. Princeton University Press: Princeton, NJ. ISSN/ISBN:9780691163062. View Complete Reference Online information Works that this work references Works that reference this work
Del Acebo, E and Sbert, M (2005). Benford's Law for Natural and Synthetic Images. Proc. of the First Workshop on Computational Aesthetics in Graphics, Visualization and Imaging, L. Neumann, M. Sbert, B. Gooch, and W. Purgathofer, Eds., Girona, Spain, May 2005, pp. 169–176. ISSN/ISBN:1816-0859. DOI:10.2312/COMPAESTH/COMPAESTH05/169-176. View Complete Reference Online information Works that this work references Works that reference this work
Hill, TP (1995). Base-Invariance Implies Benford's Law. Proceedings of the American Mathematical Society 123(3), pp. 887-895. ISSN/ISBN:0002-9939. DOI:10.2307/2160815. View Complete Reference Online information Works that this work references Works that reference this work
Lesperance, M, Reed, WJ, Stephens, MA, Tsao, C and Wilton, B (2016). Assessing Conformance with Benford’s Law: Goodness-Of-Fit Tests and Simultaneous Confidence Intervals. PLoS One 11(3): e0151235; published online 2016 Mar 28. DOI:10.1371/journal.pone.0151235. View Complete Reference Online information Works that this work references Works that reference this work
Mire, A, Dhok, SB, Mistry, NJ and Porey, PD (2016). Tampering Localization in Digital Image Using First Two Digit Probability Features. In: Satapathy, S., Mandal, J., Udgata, S., Bhateja, V. (eds) Information Systems Design and Intelligent Applications. Advances in Intelligent Systems and Computing, vol 435. Springer, New Delhi, pp. 133-151. DOI:10.1007/978-81-322-2757-1_15. View Complete Reference Online information Works that this work references Works that reference this work
Nunes, A, Inácio, H and Marques, RP (2019). A Lei de Benford e a deteção de fraude em auditoria nas empresas Portuguesas [Benford’s Law and fraud detection in Portuguese enterprises]. Proceedings of Iberian Conference on Information Systems and Technologies, CISTI . DOI:10.23919/CISTI.2019.8760922. POR View Complete Reference Online information Works that this work references Works that reference this work
Parnak, A, Baleghi, Y, Kazemitabar, J and (2020). A Novel Forgery Detection Algorithm Based on Mantissa Distribution in Digital Images. Proceedings of 6th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), pp. 1-4. DOI:10.1109/ICSPIS51611.2020.9349611. View Complete Reference Online information Works that this work references Works that reference this work
Parnak, A, Damavandi, YB and Kazemitabar, SJ (2022). A Novel Image Splicing Detection Algorithm based on Generalized and Traditional Benford’s Law. International Journal of Engineering, Transactions A: Basics 35(4), pp. 626-634. 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
Said, T and Mohammed, K (2020). Detection of anomaly in socio-economic databases, by Benford probability law. 2020 IEEE 6th International Conference on Optimization and Applications (ICOA), Beni Mellal, Morocco, 2020, pp. 1-4. DOI:10.1109/ICOA49421.2020.9094466. View Complete Reference Online information Works that this work references Works that reference this work
Satapathy, G, Bhattacharya, G, Puhan, NB and Ho, ATS (2020). Generalized Benford’s Law for Fake Fingerprint Detection. Proceedings of 2020 IEEE Applied Signal Processing Conference (ASPCON), Kolkata, pp. 242-246. DOI:10.1109/ASPCON49795.2020.9276660. 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
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
Volcic, A (2020). Uniform distribution, Benford’s law and scale-invariance. Bollettino dell'Unione Matematica Italiana. DOI:10.1007/s40574-020-00245-6. View Complete Reference Online information Works that this work references Works that reference this work
Wang, J, Cha, B-H, Cho, S-H and Kuo, C-CJ (2009). Understanding Benford’s Law and its Vulnerability in Image Forensics. IEEE International Conference on Multimedia and Expo, ICME 2009, pp. 1568 - 1571. ISSN/ISBN:1945-7871. DOI:10.1109/ICME.2009.5202811. View Complete Reference Online information Works that this work references Works that reference this work
Wang, Q, Zhang, R and Qing, K (2015). Passive Detection of Tampered JPEG Image Based on First Digit Statistics. Proceedings of 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), Adelaide, SA, Australia, pp. 401-404 . DOI:10.1109/IIH-MSP.2015.42. View Complete Reference Online information Works that this work references Works that reference this work
Zhao, X, Ho, ATS and Shi, YQ (2009). Image forensics using generalised Benford's Law for accurate detection of unknown JPEG compression in watermarked images. 16th International Conference on Digital Signal Processing, July 2009, pp. 1-8. DOI:10.1109/ICDSP.2009.5201261. View Complete Reference Online information Works that this work references Works that reference this work