ABSTRACT: The fast expansion of networked systems, combined with the pervasive reliance on the internet, has raised worries about network security, needing new defense methods. Intrusion Detection Systems (IDS) use a variety of ways to distinguish between legitimate and malicious network traffic, including rule-based, signature-based, anomaly detection, and machine learning approaches. While signature-based IDS excel
ABSTRACT The fast expansion of networked systems, combined with the pervasive reliance on the internet, has raised worries about network security, needing new defense methods. Intrusion Detection Systems (IDS) use a variety of ways to distinguish between legitimate and malicious network traffic, including rule-based, signature-based, anomaly detection, and machine learning approaches. While signature-based IDS excel
ABSTRACT The rapid evolution of cyberspace and the advent of new technologies have greatly impacted our daily lives. However, these advancements also present vulnerabilities that malicious actors exploit. Phishing, a common cyber threat, involves creating deceptive traps that can lead to severe consequences like financial loss and blackmail. Traditional detection methods, such as blacklisting, whitelisting,
ABSTRACT Financial Organizations always face problem of given loans to potential borrowers who request for loans. This arises as a result ofbad experience by loan defaulters. There is therefore the need for financial institutions toalways evaluate the borrowers ability to pay back loan. Several methods have been used to solve this problem which include expert
ABSTRACT Fingerprint recognition techniques have become a prominent area of study and application in the field of biometrics and security. These techniques aim to accurately identify individuals based on their unique fingerprint patterns. The primary focus of this review is a comprehensive assessment of the major categories of fingerprint recognition methods, including minutiae-based, deep learning-based,
ABSTRACT The recent popularity of Elliptic Curve Digital Signature Algorithm (ECDSA) has been attributed to its capability of providing good security using shorter key size. Although ECDSA is secure based on the hardness of the Elliptic Curve Discrete Logarithm Problem (ECDLP) and it is being used to ensure users’ authentication, transactions non-repudiation, and data integrity,
ABSTRACT Academic projects generate vast amounts of valuable data that can greatly benefit the research community if properly managed and shared. However, the lack of structured and standardized design processes for creating fair data repositories hinders data accessibility and reuse. In response to this challenge, this study presents a UML (Unified Modelling Language) approach to
ABSTRACT Cybersecurity consciousness and education are critical to a cyber-user’s safety when utilizing the internet. The aim of this paper is to determine the level of user cybersecurity consciousness and education in Nigerians and develop a sustainable strategy to close the knowledge gap and, as a result, advance better cyber-hygiene and security. This study
ABSTRACT Plants like human are affected by numerous diseases which retard their growth. The result of this retarred growth is not only very detrimental to the plants but also to the human and the nation at large. A major challenge towards forestalling the effect of different diseases on plants is the inability of farmers to
ABSTRACT Given that consumption has increased as a result of medical advice, watermelon crop disease detection is essential for maintaining its health. The Jupyter IDE, libraries, Kaggle dataset, preprocessing, constructing CNN model, training, and testing steps of a deep learning-based technique were suggested. The pre-selected box setting method used by the CNN model was enhanced