Skip to Main content Skip to Navigation
Conference papers

Automated Construction of a False Digital Alibi

Abstract : Recent legal cases have shown that digital evidence is becoming more widely used in court proceedings (by defense, accusation, public prosecutor, etc.). Digital tracks can be left on computers, phones, digital cameras as well as third party servers belonging to Internet Service Providers (ISPs), telephone providers and companies that provide services via Internet such as YouTube, Facebook and Gmail.This work highlights the possibility to set up a false digital alibi in a fully automatic way without any human intervention. A forensic investigation on the digital evidence produced cannot establish whether such traces have been produced through either human activity or by an automated tool. These considerations stress the difference between digital and physical - namely traditional - evidence. Essentially, digital evidence should be considered relevant only if supported by evidence collected using traditional investigation techniques. The results of this work should be considered by anyone involved in a Digital Forensics investigation, due to it demonstrating that court rulings should not be based only on digital evidence, with it always being correlated to additional information provided by the various disciplines of Forensics Sciences.
Complete list of metadatas

Cited literature [15 references]  Display  Hide  Download

https://hal.inria.fr/hal-01590408
Contributor : Hal Ifip <>
Submitted on : Tuesday, September 19, 2017 - 3:12:05 PM
Last modification on : Thursday, March 5, 2020 - 4:47:41 PM

File

978-3-642-23300-5_28_Chapter.p...
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Alfredo Santis, Aniello Castiglione, Giuseppe Cattaneo, Giancarlo Maio, Mario Ianulardo. Automated Construction of a False Digital Alibi. 1st Availability, Reliability and Security (CD-ARES), Aug 2011, Vienna, Austria. pp.359-373, ⟨10.1007/978-3-642-23300-5_28⟩. ⟨hal-01590408⟩

Share

Metrics

Record views

177

Files downloads

386