arXiv subjects

Polra Victor Falade

Publications and source records attributed to Polra Victor Falade.

5 recordsLinked to original sources

arXiv2025

Nigeria's Digital Sovereignty: Analysis of Cybersecurity Legislation, Policies, and Strategies

This paper examines Nigeria's pursuit of digital sovereignty through two core instruments: the Cybercrimes (Prohibition, Prevention, etc.) Act and the National Cybersecurity Policy and Strategy (NCPS). Despite recent reforms, it remains unclear whether these frameworks effectively secure Nigeria's digital domain and advance its digital sovereignty amid escalating cross-border cyber threats. Using a multi-method, triangulated qualitative design that combines document analysis, secondary analysis of existing studies, expert insights, and direct observation of cybersecurity developments, the paper assesses how these instruments operate in practice. The Cybercrimes Act (2015, amended 2024) and NCPS (2015, revised 2021) have strengthened Nigeria's commitments to tackling cybercrime, regulating digital activities, and protecting critical infrastructure. Yet persistent gaps remain, including legislative ambiguities, weak enforcement, uneven threat prioritization, limited institutional coordination, and loss of skilled professionals. The paper argues that achieving digital sovereignty will require stronger implementation, sustainable resourcing, workforce retention, and clearer accountability mechanisms to translate policy ambition into tangible and durable security outcomes.

cs.CY↗

arXiv2023

Decoding the Threat Landscape : ChatGPT, FraudGPT, and WormGPT in Social Engineering Attacks

In the ever-evolving realm of cybersecurity, the rise of generative AI models like ChatGPT, FraudGPT, and WormGPT has introduced both innovative solutions and unprecedented challenges. This research delves into the multifaceted applications of generative AI in social engineering attacks, offering insights into the evolving threat landscape using the blog mining technique. Generative AI models have revolutionized the field of cyberattacks, empowering malicious actors to craft convincing and personalized phishing lures, manipulate public opinion through deepfakes, and exploit human cognitive biases. These models, ChatGPT, FraudGPT, and WormGPT, have augmented existing threats and ushered in new dimensions of risk. From phishing campaigns that mimic trusted organizations to deepfake technology impersonating authoritative figures, we explore how generative AI amplifies the arsenal of cybercriminals. Furthermore, we shed light on the vulnerabilities that AI-driven social engineering exploits, including psychological manipulation, targeted phishing, and the crisis of authenticity. To counter these threats, we outline a range of strategies, including traditional security measures, AI-powered security solutions, and collaborative approaches in cybersecurity. We emphasize the importance of staying vigilant, fostering awareness, and strengthening regulations in the battle against AI-enhanced social engineering attacks. In an environment characterized by the rapid evolution of AI models and a lack of training data, defending against generative AI threats requires constant adaptation and the collective efforts of individuals, organizations, and governments. This research seeks to provide a comprehensive understanding of the dynamic interplay between generative AI and social engineering attacks, equipping stakeholders with the knowledge to navigate this intricate cybersecurity landscape.

cs.CR↗

arXiv2023

Cyber Security Requirements for Platforms Enhancing AI Reproducibility

Scientific research is increasingly reliant on computational methods, posing challenges for ensuring research reproducibility. This study focuses on the field of artificial intelligence (AI) and introduces a new framework for evaluating AI platforms for reproducibility from a cyber security standpoint to address the security challenges associated with AI research. Using this framework, five popular AI reproducibility platforms; Floydhub, BEAT, Codalab, Kaggle, and OpenML were assessed. The analysis revealed that none of these platforms fully incorporates the necessary cyber security measures essential for robust reproducibility. Kaggle and Codalab, however, performed better in terms of implementing cyber security measures covering aspects like security, privacy, usability, and trust. Consequently, the study provides tailored recommendations for different user scenarios, including individual researchers, small laboratories, and large corporations. It emphasizes the importance of integrating specific cyber security features into AI platforms to address the challenges associated with AI reproducibility, ultimately advancing reproducibility in this field. Moreover, the proposed framework can be applied beyond AI platforms, serving as a versatile tool for evaluating a wide range of systems and applications from a cyber security perspective.

cs.CR↗

arXiv2023

Trend and Emerging Types of 419 Scams

Technological advancements have revolutionized various aspects of human life, facilitating communication, business operations, healthcare, education, and environmental monitoring. However, this increased reliance on technology has also led to a surge in cybercrime, including cyber scams. The "419 scam" or Nigerian scam has been a persistent problem for decades, encompassing frauds like advance fee scams, fake lotteries, and black money scams. Initially prevalent through postal mail and later via fax, the scam has now transitioned to email. This study aims to identify recent types of 419 scam emails, particularly after the covid 19 pandemic, and explore commonly used email subjects. Analysis of the sample 419 scam emails revealed trending scams like lucky winner, threat of exposure, business/partnership proposals, investment, cancer/long-term illness, fund, and compensation scams. Emerging scams included COVID-related, cryptocurrency, marketing contact, and software development scams. Irrespective of the scam type, scammers commonly employed email subjects such as 'Re', 'Good day', 'Greetings', 'Dear friend', 'Confirm', 'Attention', and 'Hello dear'. The severity of cybercrime, especially the 419 scams, cannot be overstated, as it erodes trust, causes financial losses, and hampers Nigeria's reputation and economic progress. Combatting cyber scams and enhancing cybersecurity measures are crucial to protect individuals and organizations from falling victim to these fraudulent schemes.

cs.CR↗

arXiv2023

Vulnerability Analysis of Digital Banks' Mobile Applications

There is a rapid increase in the number of mobile banking applications' users due to an increase in smart mobile devices. Mobile banking is a financial transaction and service offered through mobile devices. Almost all financial institutions now provide mobile banking services to their customers. However, the security of mobile banking applications is of huge concern because of the amount of personal data and information they collect. If an attacker gets hold of personal information, they can access bank payment or card accounts. This research aims to analyze the vulnerability of the UK digital banks' applications to identify vulnerabilities in the apps and proffer countermeasures that can help improve the security of the bank applications. Androbugs, a vulnerability scanner, was used to analyze the vulnerability of six digital banks' android applications. Starling, Monese, Atom bank, Transferwise, Monzo, and Revolut were scanned. All the scanned digital banks' applications have vulnerabilities; however, some have more vulnerabilities than others. For example, Revolut's mobile application has the highest number of identified vulnerabilities. Therefore, there is need for more security in the digital banks' applications as well as other mobile banking applications.

cs.CR↗