School of Electrical Engineering and Technology (SEET)

Permanent URI for this communityhttp://197.211.34.35:4000/handle/123456789/24

School of Electrical Engineering and Technology (SEET)

Browse

Filters

2018 - 201912020 - 20242

Settings

Subject: search.filters.subject.Security

Search Results

Now showing 1 - 3 of 3
  • No Thumbnail Available
    Item
    Blockchain 3.0: Towards a Secure Ballotcoin Democracy through a Digitized Public Ledger in Developing Countries
    (i-Manager, 2018) DOGO, E. M.; NWULU, N. I.; NKONYANA, T.; OLANIYI, O. M.; AIGBAVBOA, C. O.
    This paper reviews scholarly articles on the application of blockchain technology for secure electronic voting (e-voting). Furthermore, the feasibility of using blockchain technology to replace the existing manual or semi-digitized voting system in developing countries with Nigeria as a case study is performed. To analyse the current state and preparedness of adopting Blockchain Enabled E-voting (BEEV) system in Nigeria, this paper employs the qualitative SWOT (Strengths, Weaknesses, Opportunities, and Threats) and PEST (Political, Economic, Social, and Technological) analysis approach. This evaluation leads us to identify internal and external factors and the strategic direction in adopting BEEV in Nigeria. It is the authors' opinion that this approach could also be tailored to evaluate situations of other developing countries.
  • No Thumbnail Available
    Item
    To-Go;A secure ride-hailing App with advanced route optimization and VoIP for enhanced user experience for Nigeria transport system
    (Proceedings 2nd International Conference on Intelligent and Sustainable Power and Energy Systems (ICISPES 2024), 2024-12-14) Oyewobi S. Stephen; Abdulkadir Olayinka Abdulbaki; Lawal O. Lawal; Bala Abdulfattah Emi
    To-Go is an innovative ride-hailing platform that provides users with a secure, efficient, and seamless transportation experience. Leveraging advanced route optimization algorithms and integrated Voice over Internet Protocol (VoIP) technology, To-Go minimizes travel time and enhances user engagement. The app's robust security features ensure rider safety and driver accountability, utilizing real-time GPS tracking, in-app emergency response, and rigorous driver vetting processes. To-Go's intuitive interface and VoIP-enabled communication enable effortless ride scheduling, live support, and seamless driver-rider interactions. As an app intended to boost user satisfaction in Nigeria To-Go delivers precise routes and secure VoIP interactions. It resolves the safety and communication obstacles typical in this field. Through the application of sophisticated algorithms and VoIP tools. To-Go delivers a dependable platform for secure and efficient rides fostering smart transportation innovations in Nigeria.
  • No Thumbnail Available
    Item
    A Face Recognition-Based Intruder Detection System for Automatic Door Control
    (IEC, 2023-03-21) Abdullahi Daniyan, Michael O. Michael
    In recent years, theft and unauthorized access to private areas in homes and communities has become a growing concern, leaving individuals feeling insecure about their lives and properties. To address this problem, this paper proposes a solution that features a facial recognition system to prevent entry by unauthorized individuals. The system uses an ESP32 Camera module and the Arduino Integrated Development Environment (IDE) to capture and store facial biometric details through facial recognition techniques. The data is saved in a database that is accessible through a web interface enabled by HOTSPOT connection. The camera's Internet Protocol (IP) address also allows for live streaming as an added feature. An ATmega328 microcontroller on the Arduino IDE receives signals from the ESP32 camera, process the data and operate the door accordingly. When the ESP32 Camera recognizes a face, it sends a signal to the microcontroller to open the door. If the face is not recognized, the door is kept locked to prevent entry by intruders. The proposed solution effectively identifies intruders and those with authorized access but grants access only to authorized individuals in its database. This ensures a secure environment for homes and communities, providing peace of mind to individuals who have long been worried about theft and unauthorized access. Results demonstrate that the proposed facial recognition system is has been able to provide a secure environment for homes and communities by denying entry to intruders and granting access only to recognized individuals.