A Low-cost Honeynet Infrastructure For Smishing Data Collection

被引：0

作者：

Lamptey, Bernard O. ^{[1
]}

Gueye, Assane ^{[2
]}

Seidu, Mohammed ^{[1
]}

Luhanga, Edith ^{[2
]}

Sowon, Karen ^{[3
]}

机构：

[1] CyLab Africa, Upanzi Network, Kigali, Rwanda

[2] Carnegie Mellon Univ, Kigali, Rwanda

[3] Carnegie Mellon Univ, Pittsburgh, PA 15213 USA

来源：

PROCEEDINGS OF THE ACM SIGCAS/SIGCHI CONFERENCE ON COMPUTING AND SUSTAINABLE SOCIETIES 2024, COMPASS 2024 | 2024年

关键词：

Gammu; Raspisms; Raspberry pi; SMS;

D O I：

10.1145/3674829.3675080

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Research on mobile money smishing is hindered, especially in the African context, as there is a lack of data. The absence of datasets and the fact that Mobile Network Operators don't maintain such data pose a significant challenge. Additionally, the absence of a data collection infrastructure further complicates the data acquisition process. In response to this challenge, we developed a scalable and cost-effective honeynet infrastructure tailored for the efficient collection of organic Short Message Service (SMS) messages. The innovative approach involves harnessing the capabilities of Raspberry Pi units, USB multipliers, SIM cards from MNOs and GSM modems to create a scalable and adaptable solution. This aims to enhance smishing data collection, facilitating more efficient research into mobile money smishing.

引用

页码：248 / 251

页数：4