166 citations · 302 across the 9 of their papers we have counts for
9 papers
Rumor Classification through a Multimodal Fusion Framework and Ensemble Learning
Abderrazek Azri, Cécile Favre, Nouria Harbi +2
The proliferation of rumors on social media has become a major concern due to its ability to create a devastating impact. Manually assessing the veracity of social media messages i…
Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs
Abderrazek Azri, Cécile Favre, Nouria Harbi +2
Reputed by their low-cost, easy-access, real-time and valuable information, social media also wildly spread unverified or fake news. Rumors can notably cause severe damage on indiv…
Including Images into Message Veracity Assessment in Social Media
Abderrazek Azri, Cécile Favre, Nouria Harbi +1
The extensive use of social media in the diffusion of information has also laid a fertile ground for the spread of rumors, which could significantly affect the credibility of socia…
Secret Sharing for Cloud Data Security
Varunya Attasena, Jérôme Darmont, Nouria Harbi
Cloud computing helps reduce costs, increase business agility and deploy solutions with a high return on investment for many types of applications. However, data security is of pre…
Innovative Approaches for efficiently Warehousing Complex Data from the Web
Fadila Bentayeb, Nora Maïz, Hadj Mahboubi +5
Research in data warehousing and OLAP has produced important technologies for the design, management and use of information systems for decision support. With the development of In…
A Novel Multi-Secret Sharing Approach for Secure Data Warehousing and On-Line Analysis Processing in the Cloud
Varunya Attasena, Nouria Harbi, Jérôme Darmont
Cloud computing helps reduce costs, increase business agility and deploy solutions with a high return on investment for many types of applications, including data warehouses and on…
fVSS: A New Secure and Cost-Efficient Scheme for Cloud Data Warehouses
Varunya Attasena, Nouria Harbi, Jérôme Darmont
Cloud business intelligence is an increasingly popular choice to deliver decision support capabilities via elastic, pay-per-use resources. However, data security issues are one of…
An Efficient Fuzzy Clustering-Based Approach for Intrusion Detection
Huu Hoa Nguyen, Nouria Harbi, Jérôme Darmont
The need to increase accuracy in detecting sophisticated cyber attacks poses a great challenge not only to the research community but also to corporations. So far, many approaches…
Combining Naive Bayes and Decision Tree for Adaptive Intrusion Detection
Dewan Md. Farid, Nouria Harbi, Mohammad Zahidur Rahman
In this paper, a new learning algorithm for adaptive network intrusion detection using naive Bayesian classifier and decision tree is presented, which performs balance detections a…