TY - GEN
T1 - Fuzzy trace validation
T2 - 2011 6th IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering, SADFE 2011
AU - Al-Kuwari, Saif
AU - Wolthusen, Stephen D.
PY - 2011
Y1 - 2011
N2 - Traditional digital forensics has been almost exclusively concerned with extracting digital traces from electronic devices to reconstruct events surrounding a particular crime. However, it might be equally important to extract complementary physical traces to learn not only about the digital activities of the suspects, but also their physical ones. In this paper, we motivate this relatively new line of research that is actually a hybrid between digital and computational forensics, we call it "offline forensic tracking" where mobility traces of an individual is reconstructed from a set of incomplete traces. We propose a reconstruction framework under various mobility models and briefly discuss how it can adopt a fuzzy Bayesian approach to reconstruct the traces. Beside reconstruction, it is also important to validate the available traces which the reconstructed ones will be based on. Therefore, as a second contribution, we show how to carry out trace validation using fuzzy logic.
AB - Traditional digital forensics has been almost exclusively concerned with extracting digital traces from electronic devices to reconstruct events surrounding a particular crime. However, it might be equally important to extract complementary physical traces to learn not only about the digital activities of the suspects, but also their physical ones. In this paper, we motivate this relatively new line of research that is actually a hybrid between digital and computational forensics, we call it "offline forensic tracking" where mobility traces of an individual is reconstructed from a set of incomplete traces. We propose a reconstruction framework under various mobility models and briefly discuss how it can adopt a fuzzy Bayesian approach to reconstruct the traces. Beside reconstruction, it is also important to validate the available traces which the reconstructed ones will be based on. Therefore, as a second contribution, we show how to carry out trace validation using fuzzy logic.
KW - Bayesian
KW - forensics
KW - fuzzy
KW - multi-modal
KW - trace reconstruction
KW - tracking
UR - http://www.scopus.com/inward/record.url?scp=84858727521&partnerID=8YFLogxK
U2 - 10.1109/SADFE.2011.8
DO - 10.1109/SADFE.2011.8
M3 - Conference contribution
AN - SCOPUS:84858727521
SN - 9781467312424
T3 - 2011 6th IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering, SADFE 2011
BT - 2011 6th IEEE International Workshop on Systematic Approaches to Digital Forensic Engineering, SADFE 2011
Y2 - 26 May 2011 through 26 May 2011
ER -