Sok: Fraud in telephony networks M Sahin, A Francillon, P Gupta, M Ahamad 2017 IEEE European Symposium on Security and Privacy (EuroS&P), 235-250, 2017 | 100 | 2017 |
Using chatbots against voice spam: Analyzing Lenny’s effectiveness M Sahin, M Relieu, A Francillon Thirteenth Symposium on Usable Privacy and Security (SOUPS 2017), 2017 | 48 | 2017 |
Over-The-Top Bypass: Study of a Recent Telephony Fraud M Sahin, A Francillon ACM SIGSAC Conference on Computer and Communications Security, 1106--1117, 2016 | 31 | 2016 |
Measuring developers’ web security awareness from attack and defense perspectives M Sahin, T Ünlü, C Hébert, LA Shepherd, N Coull, C Mc Lean 2022 IEEE Security and Privacy Workshops (SPW), 31-43, 2022 | 17* | 2022 |
Lessons Learned from SunDEW: A Self Defense Environment for Web Applications M Sahin, C Hebert, AS de Oliveira MADWeb Workshop at NDSS'20, 2020 | 16 | 2020 |
A preliminary study on the adoption and effectiveness of SameSite cookies as a CSRF defence JMK Luca Compagna, Hugo Jonker, Benjamin Krumnow, Merve Sahin In Proc. 2nd Workshop on Designing Security for the Web (SecWeb’21). IEEE …, 2021 | 13* | 2021 |
Understanding and Detecting International Revenue Share Fraud M Sahin, A Francillon NDSS'21, 2021 | 13 | 2021 |
Une approche configurationnelle des leurres conversationnels M Relieu, M Sahin, A Francillon Réseaux 220221 (2), 81-111, 2020 | 11 | 2020 |
Lenny the bot as a resource for sequential analysis: exploring the treatment of Next Turn Repair Initiation in the beginnings of unsolicited calls M Relieu, M Sahin, A Francillon Mensch und Computer 2019-Workshopband, 10.18420/muc2019-ws-645, 2019 | 11 | 2019 |
Understanding Telephony Fraud as an Essential Step to Better Fight It M SAHIN TELECOM ParisTech, 2017 | 10 | 2017 |
The hitchhiker's guide to malicious third-party dependencies P Ladisa, M Sahin, SE Ponta, M Rosa, M Martinez, O Barais Proceedings of the 2023 Workshop on Software Supply Chain Offensive Research …, 2023 | 9 | 2023 |
Identifier-based application security C Hebert, M Sahin, AS de Oliveira US Patent 11,425,166, 2022 | 9 | 2022 |
An approach to generate realistic HTTP parameters for application layer deception M Sahin, C Hébert, R Cabrera Lozoya International Conference on Applied Cryptography and Network Security, 337-355, 2022 | 7 | 2022 |
On the Effectiveness of the National Do-Not-Call Registries M Sahin, A Francillon Workshop on Technology and Consumer Protection (ConPro ’18) co-located with …, 2018 | 5 | 2018 |
Application security through deceptive authentication C Hebert, AS de Oliveira, M Sahin US Patent 11,979,395, 2024 | 3 | 2024 |
Reinforcement learning for application responses using deception technology AS de Oliveira, C Hebert, M Sahin US Patent 11,483,346, 2022 | 3 | 2022 |
A configurational approach to conversational lures M Relieu, M Sahin, A Francillon Réseaux 220221 (2), 81-111, 2020 | 3 | 2020 |
Collaborative application security C Hebert, M Sahin, AS de Oliveira US Patent 11,429,716, 2022 | 2 | 2022 |
IRSF: a Billion $ Fraud Abusing International Premium Rate Numbers M Sahin, A Francillon EURECOM, 2018 | 2 | 2018 |
Application self-defense through deceptive message transmission CRJ Hebert, M Sahin US Patent 12,003,539, 2024 | 1 | 2024 |