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Onuwa, Ojeme Blessing
- Improving Network Attack Alarm System: A Proposed Hybrid Intrusion Detection System Model
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Authors
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1 Mathematics and Computer Science Department, Delta State University, Abraka, NG
1 Mathematics and Computer Science Department, Delta State University, Abraka, NG
Source
Oriental Journal of Computer Science and Technology, Vol 7, No 3 (2014), Pagination: 344-350Abstract
Intrusion Detection System (IDS) serves as an important tool in preventing, detecting and defending against network attack. Due to increasing incidence of cyber-attacks, building an effective hybrid intrusion detection system is essential for prevention of any attack, protecting information system, monitoring networks against attacks or intrusion, and reporting these attacks to the appropriate centre for immediate action. In this paper, a hybrid intrusion detection system, integrating the strengths of the misuse detection system and the anomaly detection system were used to reduce the chances or occurrence of attacks on the network to a minimal level. This system works as an alert device in the event of attacks directed at an entire network and it also helps in reducing the number of false positive as well as false negative alarm.Keywords
Networks, Alarm System, Hybrid.Full Text
- Fuzzy Expert System for Malaria Diagnosis
Abstract Views :161 |
PDF Views:0
Authors
Affiliations
1 Mathematics and Computer Science Department, Delta State University, Abraka, NG
1 Mathematics and Computer Science Department, Delta State University, Abraka, NG
Source
Oriental Journal of Computer Science and Technology, Vol 7, No 2 (2014), Pagination: 273-284Abstract
Malaria remains one of the world’s most deadly infectious diseases and arguably, the greatest menace to modern society in terms of morbidity and mortality. To choose the right treatment and to ensure a quality of life suitable for a specific patient condition, early and accurate diagnosis of malaria is essential. It reduces disease and prevents deaths. It also contributes to reducing malaria transmission. In recent times, Information Technology (IT) has played a significant role in the task of medical diagnosis. This paper work focused on Fuzzy Expert System for malaria diagnosis. It is simple to use, portable, low cost and makes malaria diagnosis more rapid and accurate. It supports medical practitioners and assists malaria researchers to deal with the vagueness, imprecision and time-consuming found in traditional laboratory diagnosis of malaria, and provide accurate output based on the input data.Keywords
Fuzzy Logic, Expert Systems, Malaria, Symptoms.Full Text