Application of Expert System for Diagnosis of Monkeypox
Folake Akinbohun,
Ambrose Akinbohun,
Ebenezer Akinyemi Ajayi
Issue:
Volume 6, Issue 3, September 2023
Pages:
96-101
Received:
10 August 2023
Accepted:
29 August 2023
Published:
13 September 2023
Abstract: Monkeypox is a virus-borne disease that spreads from animals to humans and causes symptoms similar to those experienced in smallpox patients. The most important orthopoxvirus develops as Monkeypox. Natural hosts include vertebrates such as animals and humans, as well as arthropods. People can become infected with the Monkeypox virus by coming into touch with infected animals or humans (living or dead). An Expert System (ES) technique can be used to diagnose this condition. It (ES) is a computer program with a set of rules that evaluates data about a certain class or outcome. The increase rate of Monkeypox disease, limited or inadequate medical personnel in the local areas and inaccessibility to the medical facilities in getting medical services by the patients are the challenges; and these call for the design of the Expert System. This study is aimed to diagnose Monkeypox in order to complement the services of the medical personnel. The proposed system is based on Expert System thatconsists of User interface, Inference engine and Knowledge base. The signs and symptoms of Monkeypox disease are gathered from various Clinics and Hospitals, then built the Inference Engine where IF-THEN rules are domiciled to act intelligently on the symptoms and diagnose the degree of intensity of the disease (Monkeypox virus). The study is implemented using programming language tools: PHP, MySQL and Vue JS framework. This study could be deployed in the hospitals to complement the services of health workers especially where medical experts are not sufficient. This could also be used in a situation where patients are not having access to healthcare facilities to diagnose Monkeypox on time and early referral could be done on time to the appropriate healthcare centres.
Abstract: Monkeypox is a virus-borne disease that spreads from animals to humans and causes symptoms similar to those experienced in smallpox patients. The most important orthopoxvirus develops as Monkeypox. Natural hosts include vertebrates such as animals and humans, as well as arthropods. People can become infected with the Monkeypox virus by coming into ...
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Role of Shoulder Surfing in Cyber Security (Experimental Study to the Comparative Framework)
Marran Aldossari,
Abdullah Albalawi
Issue:
Volume 6, Issue 3, September 2023
Pages:
102-108
Received:
23 August 2023
Accepted:
7 September 2023
Published:
18 September 2023
Abstract: Shoulder surfing attacks pose a significant threat to the security of sensitive information, such as passwords, social security numbers, and credit card details. In these attacks, malicious individuals strategically position themselves to observe a victim's screen and keyboard inputs covertly. As the security landscape evolves, researchers are actively exploring alternative authentication methods to replace traditional textual passwords. However, evaluating the resilience of these authentication systems against shoulder surfing attacks has been a complex task. This research aims to provide a comprehensive framework for objectively assessing the vulnerability of authentication mechanisms to shoulder surfing attacks. Through a systematic analysis, our study reveals intriguing insights. Notably, it demonstrates that pictorial passwords are more susceptible to shoulder surfing than their textual counterparts. This susceptibility arises from the ease with which attackers can visually capture and recall graphical representations. However, our research also highlights the potential for designing graphical authentication schemes that can resist shoulder surfing attempts effectively. While visual passwords exhibit inherent vulnerability due to their visibility, creative design choices can mitigate these risks. Furthermore, we found that textual passwords, while less susceptible to shoulder surfing, face limitations due to their smaller character pool size. In conclusion, this study sheds light on the nuanced landscape of authentication mechanisms and their susceptibility to shoulder surfing attacks. By providing a robust set of measures for objective analysis, our research serves as a valuable resource for developing and implementing secure authentication solutions. It emphasizes the importance of considering both usability and security factors when designing authentication systems to combat the persistent challenge of shoulder surfing attacks.
Abstract: Shoulder surfing attacks pose a significant threat to the security of sensitive information, such as passwords, social security numbers, and credit card details. In these attacks, malicious individuals strategically position themselves to observe a victim's screen and keyboard inputs covertly. As the security landscape evolves, researchers are acti...
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