Publications (115)
COMMUNICATION
Characterization of Malicious URLs Using Machine Learning and Feature Engineering
Sidwendluian Romaric Nana, Didier Bassolé, Jean Serge Dimitri Ouattara & Oumarou Sié
In this paper, we use Machine Learning models for malicious URL detection and classification by Feature Engineering techniques. These models were implemented with scikit-learn using Random Forest, Support Vector Machine and XGBoost classifier algorithms. Our models were trained, tested, and then optimized with a dataset of 641,125 URLs (benign(...)
Malicious URL, Characterization, Feature Engineering, Detection
ARTICLE
Early alert of an outbreak based on event detection and tracking on social networks: The case of Covid-19 and meningitis
Julie Thiombiano; Yaya Traore; Sadouanouan Malo
In this paper, we propose an early warning approach for the occurrence of meningitis or Covid-19 epidemics based on the analysis of Twitter messages (tweets). To achieve this, we initially employed automatic classification techniques using Natural Language Processing and domain ontologies to filter the tweets. Subsequently, we utilized the met(...)
Event Detection, Location Prediction, Classification, Twitter, Geo-tagging
ARTICLE
Software Vulnerabilities’ Detection by analysing application execution traces
Gouayon KOALA, Didier BASSOLE, Telesphore TIENDREBEOGO and Oumarou SIE
Over the years, digital traces have proven to be significant for analyzing IT systems, including applications. With the persistent threats arising from the widespread proliferation of malware and the evasive techniques employed by cybercriminals, researchers and application vendors alike are concerned about finding effective solutions. In this(...)
Execution traces; events; vulnerability detection; malware; applications
ARTICLE
Construction of a Core Ontology of Endogenous Knowledge on Agricultural Techniques: OntoEndo
H Trawina, S Malo, I Diop, Y Traore
Several resources have been identified on endogenous agro-sylvo-pastoral techniques, but some of them remain unformalized data. In a context of climate change (CC), it is essential to take into account this endogenous knowledge on agricultural techniques as an adaptation measure. We propose in this paper to build an ontology of this endogenous(...)
Methodology, Ontology, Endogenous knowledge, Climate change
ARTICLE
Software Vulnerabilities Detection Using a Trace-Based Analysis Model
Gouayon KOALA, Didier BASSOLE, Telesphore TIENDREBEOGO and Oumarou SIE
Over the years, digital technology has grown considerably. With this growth, the information systems’ security has increasingly become a major concern. In this paper, we propose an analysis model based on application execution traces. This model makes it possible to improve the detection of vulnerabilities in applications. Indeed, after an eva(...)
Execution traces, Vulnerabilities, Tracing techniques, Applications, Attacks
ARTICLE
Reliable Fix Patterns Inferred from Static Checkers for Automated Program Repair
Kui Liu, Jingtang Zhang, Li Li, Anil Koyuncu, Dongsun Kim, Chunpeng Ge, Zhe Liu, Jacques Klein, Tegawendé F Bissyandé
Fix pattern-based patch generation is a promising direction in automated program repair (APR). Notably, it has been demonstrated to produce more acceptable and correct patches than the patches obtained with mutation operators through genetic programming. The performance of pattern-based APR systems, however, depends on the fix ingredients mine(...)
program repair, fix patterns
ARTICLE
Machine learning based Quality of Experience (QoE) Prediction Approach in Enterprise Multimedia Networks
HAMIDOU H. Omar, Justin P. KOURAOGO, Oumarou SIE, David Tapsoba
In this paper, we discuss quality of experience in multimedia networks. We present an architecture and a survey of machine learning methods to predict the quality of experience in an enterprise multimedia network environment. Our approach is based on subjective methods. It consists of the use PRTG (Paessler Router Traffic Grapher) for QoS (qua(...)
quality of experience (QoE), machine learning (LM)
ARTICLE
Design of an IoT Platform for a Precision Agriculture (PA) in Burkina Faso
Salifou Ouedraogo, Désiré Guel, Justin Kouraogo, Yann Sanou
Producers need to have information on the agricultural parameters of their plantations without having to be on site. The objective of this work is to propose an intelligent agriculture platform or Precision Agriculture (PA) in order to collect soil humidity, air and temperature. The purpose of the PA is to contribute to food security while ens(...)
Sensor, Microcontroller, Precision Agriculture (PA), ESP32, IoT, Soil
COMMUNICATION
Construire une intelligence artificielle de confiance en santé
Aristide Relwendé Yaméogo, Aimé Florent Somda, Patrice Zabsonré, Joel Colloc
Dans la pratique médicale, le processus de développement des outils informatiques et en particulier de l’intelligence artificielle (IA) est une étape importante pour son acceptabilité et son appropriation par les utilisateurs finaux. Ce processus est d’autant plus complexe car elle fait intervenir de nouveaux acteurs qui se doivent de respecte(...)
confiance, intelligence artificielle, conception, desin thinking
COMMUNICATION
Compétences numériques des étudiants de l’UFR/SDS
Yaméogo RA, Guingané NA, Tapsoba JB, Méda N, Zabsonré P, Sanou A
Introduction : La compétence numérique est un ensemble d’aptitudes relatives à une utilisation
confiante, critique et créative du numérique pour atteindre des objectifs liés à l’apprentissage,
au travail, aux loisirs, à l’inclusion dans la société ou à la participation à celle-ci. Elles sont devenues
importantes pour l’apprentissage et l’ac(...)
compétences numériques – Information – Sécurité – Autoformation – Burkina Faso
COMMUNICATION
Intelligence digitale des étudiants de l’UFR/SDS
Yaméogo RA, Guingané NA, Zongo A, Sanou A, Méda N, Zabsonré P
Introduction : L’intelligence numérique est la somme des capacités sociales, émotionnelles et
cognitives qui permettent aux individus de faire face aux défis et de s’adapter aux exigences de la
vie dans le monde numérique. Avec le développement de l’enseignement à partir des TIC, il est très
important pour les étudiants d’avoir les compéten(...)
Mots clés non renseignés
ARTICLE
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning,
Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian, Andrew Habib, Jacques Klein, Tegawendé F. Bissyandé
Representation learning of source code is essential for applying machine learning to software engineering tasks. Learning code representation from a multilingual source code dataset has been shown to be more effective than learning from single-language datasets separately, since more training data from multilingual dataset improves the model's(...)
Machine learning, Code representation learning
ARTICLE
Study of an Approach Based on the Analysis of Computer Program Execution Traces for the Detection of Vulnerabilities
Gouayon Koala, Didier Bassolé, Télesphore Tiendrébéogo, Oumarou Sié
Malicious attacks exploit software vulnerabilities to violate key security features in computer systems. In this paper, we review the related works of studies that propose mechanisms for detecting software vulnerabilities or ways to protect application data. The aim is to analyse how these mechanisms are exploited to detect software vulnerabil(...)
Detection, Vulnerabilities, Tracing, Attacks
ARTICLE
Interoperability approach for Hospital Information Systems based on the composition of web services
Lydie Simone KONE/TAPSOBA, Yaya TRAORE, Sadouanouan MALO
Nowadays, many health centers use Hospital Information Systems (HIS) for the daily management of center activities such as patient data management. In Burkina Faso, many HIS are used for patient data management but these systems cannot cooperate because the data sources are often heterogeneous. In order to guarantee a better diagnosis in patie(...)
Web service composition Hospital Information System Interoperability ontology
COMMUNICATION
Interoperability approch for Hospital Information Systems based on the composition of web services
Lydie Simone KONE/TAPSOBA, Yaya TRAORE, Sadouanouan MALO
Nowadays, many health centers use Hospital Information Systems (HIS) for the daily management of center activities such as patient data management. In Burkina Faso, many HIS are used for patient data management but these systems cannot cooperate because the data sources are often heterogeneous. In order to guarantee a better diagnosis in patie(...)
Mots clés non renseignés