Browsing by Author "Degila, Jules"
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Item Implementation of Network Intrusion Detection System(Scientific Research Publishing, 2018-12-04) Hounsou, Joël T.; Nsabimana, Thierry; Degila, JulesIn today’s world, computer network is evolving very rapidly. Most public or/and private companies set up their own local networks system for the purpose of promoting communication and data sharing within the companies. Unfortunately, their data and local networks system are under risks. With the advanced computer networks, the unauthorized users attempt to access their local networks system so as to compromise the integrity, confidentiality and availability of resources. Multiple methods and approaches have to be applied to protect their data and local networks system against malicious attacks. The main aim of our paper is to provide an intrusion detection system based on soft computing algorithms such as Self Organizing Feature Map Artificial Neural Network and Genetic Algorithm to network intrusion detection system. KDD Cup 99 and 1998 DARPA dataset were employed for training and testing the intrusion detection rules. However, GA’s traditional Fitness Function was improved in order to evaluate the efficiency and effectiveness of the algorithm in classifying network attacks from KDD Cup 99 and 1998 DARPA dataset. SOFM ANN and GA training parameters were discussed and implemented for performance evaluation. The experimental results demonstrated that SOFM ANN achieved better performance than GA, where in SOFM ANN high attack detection rate is 99.98%, 99.89%, 100%, 100%, 100% and low false positive rate is 0.01%, 0.1%, 0%, 0%, 0% for DoS, R2L, Probe, U2R attacks, and Normal traffic respectively.Item A Smart Cities LoRaWAN Network(MDPI, Basel, Switzerland., 2019-04-08) Barro, Pape Abdoulaye; Zennaro, Marco; Degila, Jules; Pietrosemoli, ErmannoAn increasing number of implementations of IoT for development use the LoRaWAN protocol as many of them leverage the free network and application servers provided by The Things Networks (TTN) to fulfill their needs. Unfortunately, in some countries in Sub-Saharan Africa and South Asia, Internet access cannot be taken for granted, therefore, TTN might not be available. Moreover, low-cost and low-power consumption options devices are the most sustainable ones. In this paper, we propose a LoRaWAN network with autonomous base stations that can work without Internet connectivity for essential services, while being able to provide additional features whenever Internet access becomes available, even in an intermittent fashion. Security and privacy are preserved, with support for mobile nodes.