US 12,355,912 B2
Method for detecting fraudulent or abusive use of a telephone service provided by a telephone operator
Christophe Scholer, Villeurbane (FR)
Assigned to ARAXXE, Lyons (FR)
Appl. No. 17/910,185
Filed by ARAXXE, Lyons (FR)
PCT Filed Mar. 11, 2020, PCT No. PCT/FR2020/050502
§ 371(c)(1), (2) Date Sep. 8, 2022,
PCT Pub. No. WO2021/181012, PCT Pub. Date Sep. 16, 2021.
Prior Publication US 2023/0120157 A1, Apr. 20, 2023
Int. Cl. H04M 15/00 (2024.01)
CPC H04M 15/47 (2013.01) [H04M 15/58 (2013.01); H04M 15/8038 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A method for detecting fraudulent or abusive use of at least one telephone service provided by a telephone operator, said method comprising the following successive steps:
a step E1 of collecting transaction data relating to a plurality of telephone communications made, over at least one portion of a given study period, from or towards telephone numbers, called the studied numbers, said plurality of telephone communications comprising at least telephone communications that involve a roaming and/or interconnection situation;
a step E2 of computer processing of said transaction data and constructing, for each studied number, an individual sheet compiling collected transaction data that correspond to said number studied over said portion of a study period;
a step E3 of revaluing telephone communications among said plurality of telephone communications, by a first revaluation module, on the basis of pre-established wholesale cost revaluation rules, to obtain for each of said studied numbers a wholesale cost amount incurred by the telephone operator over said portion of study period;
said method then comprising:
a step E4 of identifying studied numbers called suspect numbers for which, over said portion of study period, said wholesale cost amount is higher than a first predetermined threshold value;
and/or
a step E5 of calculating for each of said studied numbers or said suspect numbers, a revenue amount generated for the benefit of the telephone operator over said portion of study period, said step E5 being followed by a step E6 of identifying studied numbers or suspect numbers for which, over said portion of study period, said wholesale cost amount being higher than said revenue amount;
said method comprising, after step E4 or after step E6, a step E7 of detecting a fraudulent or abusive use by analysing transaction data compiled in said individual sheets associated with said identified numbers and/or multiparametric indicators constructed from transaction data compiled in said individual sheets associated with said identified numbers.