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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Indonesian Journal of Electrical Engineering and Computer Science
Nabil Hmina
Sultan Moulay Slimane University
Computer Science & IT Engineering

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Parallel processing using big data and machine learning techniques for intrusion detection Alaeddine Boukhalfa; Nabil Hmina; Habiba Chaoni
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 9, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (179.591 KB) | DOI: 10.11591/ijai.v9.i3.pp553-560

Abstract

Currently, information technology is used in all the life domains, multiple devices produce data and transfer them across the network, these transfers are not always secured, they can contain new menaces invisible by the current security devices. Moreover, the large amount and variety of the exchanged data cause difficulties related to the detection time. To solve these issues, we suggest in this paper, a new approach based on storing the large amount and variety of network traffic data employing Big Data techniques, and analyzing these data with Machine Learning algorithms, in a distributed and parallel way, in order to detect new hidden intrusions with less processing time. According to the results of the experiments, the detection accuracy of the Machine Learning methods reaches 99.9 %, and their processing time has been reduced considerably by applying them in a parallel and distributed way, which proves that our proposed model is effective for the detection of new intrusions.
Improvement of the LTE handover algorithms in terms of quality of service Samia Hakkou; Tomader Mazri; Nabil Hmina
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i3.pp1720-1729

Abstract

With the emergence of new possibilities and user requirements in the field of mobile technology, long term evolution (LTE) is the most popular as it offers high-speed service. LTE is a 4G wireless network developed by the 3rd generation partnership project (3GPP). The implementation of LTE is strongly affected by the quality of service (QoS) when transfer management is the main issue. Handover management allows communication to be maintained when switching from one base station to another. In this paper, we explain that there are several types of transfers that are not efficient in terms of quality of services such as throughput, signal-to-interference-plus-noise ratio (SINR), and latency. For this purpose, we thought of creating a new algorithm on the A1 and A3 events and the reference signal received quality (RSRQ). Our algorithm is effective compared to other already available algorithms using the NS3 network simulator.
Design of intelligent agent on Moodle to automate the learning assessment process Elhoucine Ouassam; Nabil Hmina; Belaid Bouikhalene
Indonesian Journal of Electrical Engineering and Computer Science Vol 31, No 3: September 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v31.i3.pp1665-1672

Abstract

Assessment is a key element in today’s School system, whether face-to-face or distance learning, as it helps students understand their learning and get feedback on their progress. In addition, distance learning assessment is becoming increasingly popular as it is convenient for students with busy schedules who cannot attend face-to-face assessments. In this paper, we focus on the use of intelligent agents on the Moodle platform to improve the assessment process of distance learning. We present three contributions that aim to improve the developed models: firstly, the digitisation of assessment to collect, store and analyse data; secondly, the adoption of a multi-agent skills assessment environment to automate some assessment tasks; thirdly, the adoption of the leadership and management development (LMD) programme to improve the continuous training of learners by offering greater flexibility, adaptability and relevance to their needs. 
Co-Authors Alaeddine Boukhalfa Belaid Bouikhalene Elhoucine Ouassam Habiba Chaoni Samia Hakkou Tomader Mazri