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Intrusion Detection Systems (IDS) is defined as a component that analyses system and user operations in computer and network systems in search of activities considered undesirable from security perspectives. Applying mobile agent (MA) to intrusion detection design is a recent development and it is aimed at effective intrusion detection in distributed environment. From the literature, it is clear that most MA-based IDS that are available are not quite effective because their time to detection is high and detect limited intrusions.This paper proposes a way of classifying a typical IDS and then strategically reviews the existing mobile agent-based IDSs focusing on each of the categories of the classification, for example architecture, mode of data collection, the techniques for analysis, and the security of these intelligent codes. Their strengths and problems are stated wherever applicable. Furthermore, suggested ways of improving on current MA-IDS designs are presented in order to achieve an efficient mobile agent-based IDS for future security of distributed network.

Many ICT-based systems used in managing antenatal care are still faced with the problems of inaccessibility, lack of effective consultations and low usability. This paper proposes an architecture, a Mobile Phone-Based Antenatal Care Support System (MPACSS) that addresses the solution to these drawbacks. MPACSS consists of a patient's mobile phone, hospital server, an Electronic Medical Record System (EMRS), and a doctor's remote terminal. The patient's mobile phone has the interface that allows patients registration and login details, with an in-built diagnostic application. The hospital server accepts the patients' data from the mobile phone and adopts expert system for diagnosis and treatment, while the EMRS manages the database of patients. The doctor's remote terminal is a mobile device with same interface as the patient's mobile device. The doctor only makes a request for the physical presentation of patients depending on the level of severity which is calculated based on fuzzy logic paradigm The proposed system is in its current stage of implementation but an evaluation was carried out on 180 pregnant women and 50 doctors. The result showed 92% efficiency of the system by doctor and 95% usability acceptance by pregnant women. This shows that the system can effectively provide antenatal support to women without any time and distance barriers.

Threat modeling, which is the process of identifying, quantifying and analyzing potential threats of computer-based systems, has become a significant consideration towards designing secure software systems. Despite the previous methods adopted for threat modeling, there are still many systems that are probable to attack. In this work, a fuzzy logic-based threat modeling technique is designed. The technique involves the fuzzification of input variables that is based on six major categories of threats (STRIDE-Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, and Elevation of Privilege), rule evaluation, and aggregation of the rule outputs. The design is based on Mamdani-style inference system which is very good for the representation of human reasoning and effective analysis. The implementation is done using MATLAB fuzzy logic tools. Using the design to test five computer systems, the result shows a tool that can be effectively used to analyze potential threats to computer-based systems.