JISPDF – Digital Library

AI Deepfakes and Information Asymmetry in Platform Economies A Multimodal Deep Learning Framework for Detection, Attribution, and Economic Impact Modelling

Jul 6, 2026Nigeria Computer Society

Abstract: Generative intelligence has fuelled a meteoric increase of deepfakes in social networks, politics, and digital market, which poses formidable dangers for information validity, social belief, and market resilience. The current forensic system has primarily focused on unimodal detection metho ds and proved to be non resilient to the mixed impacts of multimodal attacks, attribution

Systematic Literature Review: Towards a Sustainability-Aware Framework for Selecting, Implementing and Evaluating Security Patterns in Enhancing Application Security

Dec 20, 2025Nigeria Computer Society

Abstract: Security patterns allow application developers to use security measures without being experts on security (Fernandez, 2013). Since its introduction in 1997, there have been various security pattern researches . This study presents a systematic review on secure pattern research, guided by the PRISMA framewor k, covering peer reviewed papers published between 1997 and 2025

Development of a Mobile Community Policing System

Dec 20, 2025Nigeria Computer Society

Abstract: Community is a network of people that interrelate via physical or virtual technologies for different social purposes by exchanging information and share idea on mutual interests. Community and police work together to combat crime in the community. In academic Institution like University of Lagos (UNILAG), community safety depends on school security and police to

Enhancing Web Application Security: An Investigation into Security Patterns

Dec 20, 2025Nigeria Computer Society

Abstract: Security patterns offer proven and re usable solutions and best practices for mitigating recurring security related weaknesses in software and system designs and are widely proposed as efficient security mechanisms in enhancing application security. Since its introduction in 1997, several researchers have looked into their classification, taxo nomy and categorization, evaluation/empirical study and enhancement.

Sybil Attack Detection in IoT Device Using Machine Learning Algorithms

Dec 18, 2025Nigeria Computer Society

Abstract: Sybil attacks are one of the most critical security threats to IoT networks, in which attackers use various fake identities to compromise or influence IoT systems. Traditional security methods such as encryption and authentication are unable to address Sybil attacks in the heterogeneous IoT environment. However, ML methods have been proposed for detecting Sybil

Learning and Enhancing Cybersecurity Measures in Modern Technologies

Dec 18, 2025Nigeria Computer Society

Abstract: Since cyber-attacks have become more advanced with new technology, cyber security is a significant concern in our evolving digital environment. The paper reviews how AI with machine learning (ML), deep learning (DL), and generative AI have helped improve cybersecurity from 2022 to 2025. These approaches prove to be very accurate, spotting threats with 94%

Detecting Attacks on IoT Devices in Ambient Intelligent (AMI) Home Network

Dec 18, 2025Nigeria Computer Society

Abstract: This study developed an ambient intelligent home framework with a view to detect attack against IoT devices in the home. A framework was designed using an IDS Server, remote users, home users, attackers and IoT devices in ambient intelligent home. Algorithm was developed using stacking ensemble, which include naïve bayes, support vector machine, ada

AI-Driven Predictive Maintenance and Fault Detection for Cloud Infrastructure Using the Stacking Ensemble Method

Dec 18, 2025Nigeria Computer Society

Abstract: The cloud infrastructure must be very reliable because their sudden downtime creates a high economic cost to the clients. Therefore, the following project presents an artificial intelligence-driven predictive maintenance system featuring a fault detection system in the cloud environment. It applies the stacking ensemble method as an approach toward enhancing the efficiency of its

A Security Mechanism against Cross-Site Scripting Attacks

Dec 18, 2025Nigeria Computer Society

Abstract: Cross-site scripting is a form of cyber-attack that leverages vulnerabilities in web applications to steal confidential personal information, steal session cookies, impersonate a legitimate user, or even deface a website. Cross-site scripting attacks usually result in huge damage and loss by its victims. These attacks are generally targeted at web users and through a

Enhancing Social Protection Through Blockchain-Based Identity Verification And Data Communication: A Systematic Review

May 22, 2025Nigeria Computer Society

Abstract. This study reviews blockchain’s potential to enhance social protection programmes through identity verification and data communication. Traditional systems face issues like unreliable identity verification and data vulnerability, which blockchain’s decentralized, immutable, and transparent nature can address. The study aims to analyse blockchain’s benefits, current implementations, and deployment challenges in social protection. Using a systematic