FRAUD PREDICTION BASED ON PARTIAL USAGE DATA

Benjamin Hillel Myara; David Tolpin

FRAUD PREDICTION BASED ON PARTIAL USAGE DATA

Benjamin Hillel Myara (Inventor), David Tolpin (Inventor)

Department of Computer Science

Research output: Patent

Abstract

A system for predicting that a user session will be fraudulent. The system can analyze an incomplete session and determine the likelihood that the session is fraudulent or not by generating completed sessions based on the incomplete session.

Original language	English
Patent number	US2018218261
IPC	H04W 12/ 12 A I
Priority date	31/01/17
State	Published - 2 Aug 2018

Cite this

@misc{9bf3f7d8519d4a3bab94a126208510b0,

title = "FRAUD PREDICTION BASED ON PARTIAL USAGE DATA",

abstract = "A system for predicting that a user session will be fraudulent. The system can analyze an incomplete session and determine the likelihood that the session is fraudulent or not by generating completed sessions based on the incomplete session.",

author = "Myara, {Benjamin Hillel} and David Tolpin",

year = "2018",

month = aug,

day = "2",

language = "English",

type = "Patent",

note = "US2018218261; H04W 12/ 12 A I",

}

TY - PAT

T1 - FRAUD PREDICTION BASED ON PARTIAL USAGE DATA

AU - Myara, Benjamin Hillel

AU - Tolpin, David

PY - 2018/8/2

Y1 - 2018/8/2

N2 - A system for predicting that a user session will be fraudulent. The system can analyze an incomplete session and determine the likelihood that the session is fraudulent or not by generating completed sessions based on the incomplete session.

AB - A system for predicting that a user session will be fraudulent. The system can analyze an incomplete session and determine the likelihood that the session is fraudulent or not by generating completed sessions based on the incomplete session.

M3 - Patent

M1 - US2018218261

ER -