AIS Biometric Authentication for Instant Messaging
Original Publication Date: 2002-Oct-24
Included in the Prior Art Database: 2002-Oct-24
Instant Messaging (IM) is one of the new "disruptible technologies" and its use is becoming very widespread. One problem with IM is how do you know to whom you are "talking" ? Even if a system is password protected it would be possible to sit down at unlocked workstation and pretend to be someone - or even break into the network protocol. A person's style of communication is very particular to them - given someone you know well, you would become suspicious if their style of communication suddenly changed. The idea presented here is use Machine Learning to learn a person's communication style. During a conversation the system would say if it thought the person you're talking to is who you think it is. The suggested implementation is to use a Artificial Immune System (AIS) for the Machine Learning. They are very good at unsupervised classification type problems. In addition they provide the ability to continually learn. This would be very important as communication styles will change over time.