TY - GEN
T1 - Detecting Identity Deception in Online Context
T2 - AHFE Virtual Conference on Human Factors in Cybersecurity, 2020
AU - Cardaioli, Matteo
AU - Monaro, Merylin
AU - Sartori, Giuseppe
AU - Conti, Mauro
PY - 2020
Y1 - 2020
N2 - Keystroke dynamics has been recently proved to be an effective behavioral measure to detect subjects who provide false demographic information in online contexts. However, current techniques still suffer from some limits that restrict their practical application, such as the use of errors as a key feature to train the lie detectors and the absence of normalized features. Here, an extension of a keystroke dynamics technique, which was recently proposed to detect faked identities, is reported with the goal to overcome these limitations. Using a Quadratic Discriminant Analysis an accuracy up to 92% in the identification of faked identities has been reached, even if errors were excluded from predictors and normalized features were included. The classification model performs similarly to those previously proposed, with a slightly lower accuracy (−3%) but overcoming their important practical limitations.
AB - Keystroke dynamics has been recently proved to be an effective behavioral measure to detect subjects who provide false demographic information in online contexts. However, current techniques still suffer from some limits that restrict their practical application, such as the use of errors as a key feature to train the lie detectors and the absence of normalized features. Here, an extension of a keystroke dynamics technique, which was recently proposed to detect faked identities, is reported with the goal to overcome these limitations. Using a Quadratic Discriminant Analysis an accuracy up to 92% in the identification of faked identities has been reached, even if errors were excluded from predictors and normalized features were included. The classification model performs similarly to those previously proposed, with a slightly lower accuracy (−3%) but overcoming their important practical limitations.
KW - Identity verification
KW - Keystroke dynamics
KW - Lie detection
UR - http://www.scopus.com/inward/record.url?scp=85088506126&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-52581-1_6
DO - 10.1007/978-3-030-52581-1_6
M3 - Conference contribution
AN - SCOPUS:85088506126
SN - 9783030525804
T3 - Advances in Intelligent Systems and Computing
SP - 41
EP - 48
BT - Advances in Human Factors in Cybersecurity - AHFE 2020 Virtual Conference on Human Factors in Cybersecurity
A2 - Corradini, Isabella
A2 - Nardelli, Enrico
A2 - Ahram, Tareq
PB - Springer
Y2 - 16 July 2020 through 20 July 2020
ER -