Enhanced credit card fraud detection in online transactions using Long Short Term Memory (LSTM) and RFM analysis with ADAYSN oversampling
Bhumika Ranabhumikarana983@gmail.comDepartment of Information TechnologyGuru Tegh Bahadur Institute of TechnologyNew Delhi, 110064, IndiaView full profile → , Tanu Tomartomartanu647@gmail.comDepartment of Information TechnologyGuru Tegh Bahadur Institute of TechnologyNew Delhi, 110064, IndiaView full profile → , Amandeep Kauramandeep.gtbit@gmail.comDepartment of Information TechnologyGuru Tegh Bahadur Institute of TechnologyNew Delhi, 110064, India0000-0002-4634-6694View full profile → , Parsan Kaurparsank6@gmail.comDepartment of Information TechnologyGuru Tegh Bahadur Institute of TechnologyNew Delhi, 110064, IndiaView full profile → , Simmi Singhsimmirooprai@gmail.comDepartment of Information TechnologyGuru Tegh Bahadur Institute of TechnologyNew Delhi, 110064, IndiaView full profile → , Puneet Singh Lambasinghs.puneet@gmail.comDepartment of Computer ScienceSri Guru Tegh Bahadur Khalsa CollegeUniversity of DelhiDelhi, 110007, IndiaView full profile → , Achin Jainachin.mails@gmail.comDepartment of Information TechnologyBharati Vidyapeeth’s College of EngineeringNew Delhi, 110063, IndiaView full profile → , *Harsh TanejaCorresponding authorharshtaneja.cse@gmail.comDepartment of Computer Science & EngineeringGraphic Era (Deemed to be University)Dehradun, Uttrakhand, IndiaView full profile →
* Corresponding author · click or hover a name for details
- Published Online:
- 17 Mar 2024
- Article type:
- Research Article
- Language:
- EN
- Article no.:
- JIOS-1558
- Pages:
- 413–422
Abstract
Keywords
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References
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