International Journal of Advanced Networking and Applications

Rajdeep Borgohain ¹, Sugata Sanyal ²

Affiliations
1 Department of Computer Science and Engineering, Dibrugarh University Institute of Engineering and Technology, Dibrugarh, Assam, IN
2 School of Technology and Computer Science, Tata Institute of Fundamental Research, Mumbai, IN

Abstract

In this paper, we discuss the implementation of a rule based expert system for diagnosing neuromuscular diseases. The proposed system is implemented as a rule based expert system in JESS for the diagnosis of Cerebral Palsy, Multiple Sclerosis, Muscular Dystrophy and Parkinson's disease. In the system, the user is presented with a list of questionnaires about the symptoms of the patients based on which the disease of the patient is diagnosed and possible treatment is suggested. The system can aid and support the patients suffering from neuromuscular diseases to get an idea of their disease and possible treatment for the disease.

Keywords

Expert System, Neuromuscular Diseases, RETE algorithm, Artificial Intelligence, JESS.

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Rajdeep Borgohain ¹

Affiliations
1 Department of Computer Science and Engineering, Dibrugarh University Institute of Engineering and Technology, Dibrugarh, Assam, IN

Abstract

With the increase in the number of security threats, Intrusion Detection Systems have evolved as a significant countermeasure against these threats. And as such, the topic of Intrusion Detection Systems has become one of the most prominent research topics in recent years. This paper gives an overview of the Intrusion Detection System and looks at two major machine learning paradigms used in Intrusion Detection System, Genetic Algorithms and Fuzzy Logic and how to apply them for intrusion detection.

Keywords

Survey, Intrusion Detection System, Fuzzy Logic, Genetic Algorithms, Anomaly Detection.

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