Browsing by Author "Kazi, Samreen Banu"

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    Blockchain based e-voting system
    (AIKTC, 2023-05) Kazi, Samreen Banu; Ansari, Anas (20DCO02); Bhatkar, Zohaib (20DCO03); Khan, Absar (20DCO04); Shaikh, Anas (20DCO08)
    Electronic voting or e-voting has fundamental benefits over paper based systems such as increased efficiency and reduced errors. The electronic voting system tends to maximize user participation, by allowing them to vote from anywhere and from any device that has an internet connection. The blockchain is an emerging, decentralized, and distributed technology with strong cryptographic foundations that promises to improve different aspects of many industries. Expanding e-voting into blockchain technology could be the solution to alleviate the present concerns in e-voting. Here we propose a blockchain-based voting system that will limit the voting fraud and make the voting process simple, secure and efficient.
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    Securing the openplc
    (AIKTC, 2026-06) Kazi, Samreen Banu; Bronkar, Basheer [23DCO01]; Sayyed, Mohammad Kaif [22CO42]; Shaikh, Zaid [23DCO06]; Patel, Ahmed [22CO38]
    This project presents a multi-layered security enhancement for Industrial Control Systems (ICS) by hardening the OpenPLC platform against contemporary cyber-attacks. The primary objective is to address the inherent security deficits in legacy industrial protocols, such as Modbus/TCP and DNP3, which traditionally lack native authentication and encryption. To achieve this, we engineered an integrated security suite comprising Time- Based One-Time Password (TOTP) Multi-Factor Authentication for the web management interface, an automated vulnerability auditing tool for system boot-up, and TLS 1.3 encryption for data transit. The methodology further incorporates a real-time Intrusion Detection System (IDS) using Snort to perform Deep Packet Inspection (DPI), specifically targeting unauthorized industrial command injections. This objective was successfully achieved, resulting in a controller appliance capable of resisting sophisticated network-based threats. Experimental evaluations demonstrate that the proposed framework successfully identifies 98 percent of unauthorized industrial commands and completely mitigates credentialbased attacks. Significantly, the system maintains high operational efficiency by introducing a negligible latency overhead of less than 5 milliseconds, ensuring that the critical timing requirements of real-time industrial processes are never compromised.
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    Social media enabled gym management system
    (AIKTC, 2023-05) Kazi, Samreen Banu; Dolare, Daniyal (19CO15); Dawnak, Sufyan (19CO16); Baig, Hamza (19CO20); Kazi, Uzair (19CO22)
    Social Media is an innovative application dairy happened. In this study, we propose a social media-enabled gym management system. Through the system, the manager of a gym can easily track and trace the exercise status of members. For the purpose of the gym, one can apply an exercise prescription for each member when they come to the gym. The system not only can reduce the waste of human resources and enhance the efficiency of management levels, but also enhance the experience. The members, can post workout routines and diets and can share their experiences with other members. This can help members stay motivated and feel accountable to achieve their goals and level up in the world of fitness and can also increase member retention for the gym.