Publications (197)
ARTICLE
Revisiting the VCCFinder approach for the identification of vulnerability-contributing commits
Timothé Riom, Arthur Sawadogo, Kevin Allix, Tegawendé F Bissyandé, Naouel Moha, Jacques Klein
Detecting vulnerabilities in software is a constant race between development teams and potential attackers. While many static and dynamic approaches have focused on regularly analyzing the software in its entirety, a recent research direction has focused on the analysis of changes that are applied to the code. VCCFinder is a seminal approach i(...)
timely patching, security patches, code repositories, vulnerabilities, silent fixes, co-training, automatic monitoring, source code, security-relevant changes
ARTICLE
Detection of Vulnerabilities Related to Permissions Requests for Android Apps Using Machine Learning Techniques
Didier Bassolé, Yaya Traoré, Gouayon Koala, Franklin Tchakounté & Oumarou Sié
Android application vulnerabilities are weaknesses in the applications or their design that allow an attacker to execute commands, access unauthorised data and carry out denial of service attacks. In this paper, we try to improve the detection of vulnerabilities, especially those based on permissions in Android applications. We propose a model(...)
Vulnerability, Permission-based, Machine learning, Android applications
ARTICLE
An Agent-Based Study of the Impact of Sensitization on the Spread of Covid 19 in Burkina Faso
E. Youl, S. Malo, S. Ouaro
Emerging infectious diseases, such as severe acute respiratory syndrome (SARS), pose a major threat to public health. Despite intense research efforts on how, when and where these new diseases appear, they are still a source of considerable uncertainty. An outbreak of a new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS - C(...)
Agent-based approach Information diffusion Contact networks COVD - 19
ARTICLE
A Framework for Data Research in GIS Database using Meshing Techniques and the Map-Reduce Algorithm
SERE Abdoulaye, Jean Serge Dimitri OUATTARA, Didier BASSOLE, Jose Arthur OUEDRAOGO, Moubaric KABORE
Everywhere, centers, laboratories, hospital and pharmacy have faced many challenges to delivery quality of health service due to constraints related to limited availability of resources such as drugs, places, equipments and specialists, often in health deficit with increasing number of patients, for instance during COVID-19 pandemic. Late info(...)
Mots clés non renseignés
ARTICLE
Détection des vulnérabilités liées aux permissions des applications Android à l’aide des techniques de Machine Learning
Koala Gouayon, Didier BASSOLE, Yaya TRAORE, Kisito K. KABORE, Oumarou SIE
A compléter
Mots clés non renseignés
ARTICLE
Toward a Data Fusion Based Framework to Predict Schistosomiasis Infection
T. Zougmoré, S. Malo, B. Gueye, S. Ouaro
We propose a conceptual framework to predict the risk of freshwater source infestation by Schistosomiasis parasites. Our approach aims to combine two sources of information which are outputs of prediction models. The proposed framework is broken down into three Y-shaped branches. The left branch is a water quality prediction model built on the(...)
Data Fusion, Shistosomiasis
ARTICLE
Architecture of a Platform on Sharing Endogenous Knowledge to Adapt to Climate Change
Trawina H., Diop I., Malo S., Traore Y.
Burkina Faso, a country in the heart of the Sahel, is one of the most vulnerable areas in Africa. 86% of its rural population is engaged in agricultural activities. Its predominantly rural population, with little theoretical and scientific knowledge of climate change, suffers the consequences of this phenomenon, including crop losses, lack of(...)
Architecture, Semantic web, Semantic wiki, Social web, Ontologies, Endogenous knowledge, Agricultural techniques
ARTICLE
Vulnerability analysis in mobile banking and payment applications on android in African Countries
Didier Bassolé, Gouayon Koala, Yaya Traoré, Oumarou Sié
In this paper, we analyze vulnerability of some mobile banking and payment applications on Android platforms. This analysis aims at performing vulnerability assessments, facilitating an informed assessment of the information security and privacy risks that mobile banking and payment applications face in African countries, and creating awarenes(...)
Mots clés non renseignés
ARTICLE
Towards a Social and Semantic Web Platform for Sharing Endogenous Knowledge to Adapt to Climate Change
H. TRAWINA, S. MALO, I. DIOP and Y. TRAORE
In this article, we focus on farmers' perceptions of climate change and their strategies for adapting cultures, which
constitute endogenous knowledge. This leads us to the three major challenges of opening, interconnecting and sharing endogenous knowledge through the use of different tools and methods of the semantic web (or linked open data(...)
architecture, semantic web, semantic wiki, social web, endogenous knowledge, agricultural techniques
ARTICLE
Extraction of Relevant Data from SocialMedia Based on Termino-OntologicalResources: Application to MeningitisSurveillance via Twitter
W-P. R. C. Béré, G. Camara, S. Malo, S. Despres, M. Lo, S. Ouaro
In this paper, we present a process for collecting and filter-ing relevant data for epidemiological surveillance of meningitis. We focuson the African meningitis belt stretching from Senegal to Ethiopia. Thisstudy aims to fill the data gap for the early detection of epidemics basedon the analysis of social media. Our approach is based on previ(...)
Ontology · SKOS Resource · Social media · Epidemicintelligence · Meningitis
ARTICLE
Towards an Architecture for the Interoperability of Hospital Information Systems in Burkina Faso
Lydie Simone TAPSOBA, Yaya TRAORE, et Sadouanouan MALO
he successful introduction of ICTs into medical practice is a key factor in improving the performance of any health system for both patients and healthcare professionals. In Burkina Faso, many hospital information systems (HIS) have been developed and are already widely used in large health centers with proven efficiency. To improve the qualit(...)
Hospital information system; Interoperability; architecture; ontology.
COMMUNICATION
Towards an Architecture for the Interoperability of Hospital Information Systems in Burkina Faso
Lydie Simone TAPSOBA, Yaya TRAORE, Sadouanouan MALO
The successful introduction of ICTs into medical practice is a key factor in improving the performance of any health system for both patients and healthcare professionals. In Burkina Faso, many hospital information systems (HIS) have been developed and are already widely used in large health centers with proven efficiency. To improve the quali(...)
Mots clés non renseignés
ARTICLE
Patterns for African smart cities semantic data integration
Ferdinand Guinko
Smart communities and cities is a topic widely presented in the scientific litterature. Numerous works have
been done presenting the concept of smart city. But there is still a need concerning the matter of data integration in smart communities and cities. In this paper, we have presented the Users application layer pattern, the Integration m(...)
African Communities and cities, semantic data integration, Semantic interoperability, data exchange, Africa Smart communities and cities patterns
ARTICLE
Mobile Health Applications Future Trends and Challenges
Teddy Ivan Ibrahim Bessin, Alain Wilfried P. Ouédraogo, Ferdinand Guinko
Digital technologies are now a big part of the healthcare industry. With the rapid evolution of information and telecommunication technologies, mobile phones offers amazing opportunities to improve healthcare system, in the way that physicians, patients and other health system actors are more interconnected than it is in the traditional health(...)
Mobile health, chronic diseases
ARTICLE
The Statistical Correlation between Distortion and Adding Signal for PAPR Reduction in OFDM based Communication Systems
Désiré Guel, Boureima Zerbo, Jacques Palicot, Oumarou Sié
In recent past years, PAPR (Peak-to-Average Power Ratio) of OFDM (Orthogonal FrequencyDivision Multiplexing) system has been intensively investigated. Published works mainly focus on how to reduce PAPR. Since high PAPR will lead to clipping of the signal when passed through a nonlinear amplifier. This paper proposes to extend the work related(...)
Orthogonal Frequency Division Multiplexing (OFDM), Peak-to-Average Power Ratio (PAPR), signal-to-noise-and-distortion ratio (SNDR), Adding Signal Techniques