iosr-JCE   Volume-27 ~ Issue-4 ~ Jul. - Aug. 2025

Abstract: The security of digital systems in the modern globalised world has become the most crucial element. Cryptography is considered as significant because it protects data, offers privacy, and provides integrity of the communications. Nevertheless, the changing nature of cyber threats has allowed more serious attacks on customary cryptographic systems. In reaction, the researchers have resorted to Artificial Intelligence (AI) and Machine Learning (ML) to improve cryptographic strengths, automating cryptanalysis, and attack detection as well as optimization of a protocol......

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Abstract: The convergence of deep learning techniques and big data analytics has transformed predictive modeling, offering unprecedented potential across domains such as healthcare, agriculture, finance, and governance. Emerging economies, marked by rapid digital adoption amid infrastructural and socioeconomic constraints, provide a unique context for deploying these technologies. This survey examines state-of-the-art approaches integrating deep learning and big data, evaluating their applications and implications in emerging economies. The paper discusses......

Keywords: Deep Learning, Big Data Analytics, Predictive Modeling, Emerging Economies, Machine Learning Applications

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Abstract: This paper presents a practical simulation of phishing-based financial fraud designed to replicate the attack flow typically used to compromise Unified Payments Interface (UPI) users. The simulation environment was developed within the Digital Forensics Division at CFSL, Hyderabad, and models a cloned interface of the PhonePe application to demonstrate how cybercriminals manipulate visual trust and interface mimicry to collect sensitive user data. The system is built using Python and the Flask framework for backend handling, with HTML and CSS for replicating the user-facing interface. Key features include real-time data capture of mobile numbers and OTPs, monitored......

Keywords: Phishing simulation; digital payment security; UPI phishing; cybersecurity awareness; OTP exploitation; ethical hacking; user credential harvesting; web-based fraud; tunnel-based spoofing; interface impersonation.

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