Characterizing Mobile Money Phishing Using Reinforcement Learning

AN Njoya, VLT Ngongag, F Tchakounté… - IEEE …, 2023 - ieeexplore.ieee.org
Mobile money helps people accumulate, send, and receive money using their mobile
phones without having a bank account (ie, in some African countries). Such technology is …

Classifying swahili smishing attacks for mobile money users: A machine-learning approach

IS Mambina, JD Ndibwile, KF Michael - IEEE Access, 2022 - ieeexplore.ieee.org
Due to the massive adoption of mobile money in Sub-Saharan countries, the global
transaction value of mobile money exceeded 2 billion in 2021. Projections show transaction …

Eth-PSD: A machine learning-based phishing scam detection approach in ethereum

AHH Kabla, M Anbar, S Manickam, S Karupayah - IEEE Access, 2022 - ieeexplore.ieee.org
Recently, the rapid flourish of blockchain technology in the financial field has attracted many
cybercriminals' attention to launching blockchain-based attacks such as ponzi schemes …

Avoiding the phishing bait: The need for conventional countermeasures for mobile users

S Baadel, F Thabtah, A Majeed - 2018 IEEE 9th Annual …, 2018 - ieeexplore.ieee.org
According to the international Anti-Phishing Work Group (APWG), phishing activities have
significantly risen over the last few years, and users are becoming more susceptible to …

Survey of machine learning approaches of anti-money laundering techniques to counter terrorism finance

NM Labib, MA Rizka, AEM Shokry - … and Future: Proceedings of ITAF 2019, 2020 - Springer
Today's most immediate threat to be addressed is terrorism. Like any other business,
terrorism requires financing, terror organizations use number of illegal methods to raise their …

Machine learning detection for smishing frauds

BE Boukari, A Ravi, M Msahli - 2021 IEEE 18th Annual …, 2021 - ieeexplore.ieee.org
Vishing and SMiShing frauds not only contribute to financial loss but also have social and
psychological impact on the victims. The need for a simple implementable solution that …

Mobile phishing attacks and defence mechanisms: State of art and open research challenges

D Goel, AK Jain - Computers & Security, 2018 - Elsevier
Phishing is an online identity theft in which an attacker tries to steal user's personal
information, resulting in financial loss of individuals as well as organisations. Nowadays …

Deep learning to combat phishing

S Maurya, A Jain - Journal of Statistics and Management Systems, 2020 - Taylor & Francis
With the tremendous increase in our dependence on online services for daily needs, cyber
threats and related crime have also increased at an alarming rate. Phishing is one of the …

Detection of online phishing email using dynamic evolving neural network based on reinforcement learning

S Smadi, N Aslam, L Zhang - Decision Support Systems, 2018 - Elsevier
Despite state-of-the-art solutions to detect phishing attacks, there is still a lack of accuracy for
the detection systems in the online mode which is leading to loopholes in web-based …

Deep learning and explainable artificial intelligence techniques applied for detecting money laundering–a critical review

DV Kute, B Pradhan, N Shukla, A Alamri - IEEE access, 2021 - ieeexplore.ieee.org
Money laundering has been a global issue for decades, which is one of the major threat for
economy and society. Government, regulatory and financial institutions are combating it …