Skip to main content

EN
FR
PT-BR
CN

Navigation rapide

Programmes
Companies

Search by keywords

Current research

EN
FR
PT-BR
CN

Boutons supérieurs du menu déroulant

Brochures
Apply

Main menu EN

About SKEMA
- SKEMA Business School
  Missions & Values
  
  History
  
  Strategy
  
  Rankings
  
  Accreditations & recognitions
  
  Governance
  
  SKEMA brand
  
  Work at SKEMA
- Impact & Transitions
  Transitions
- Student and campus life
  Health services
  
  Financial support
  
  Student clubs
  
  Accommodation
- Newsroom
Programmes & Schools
- Undergraduate programmes
  Bachelors
  
  ESDHEM
- Grande École / Master in Management
- Masters of Science (MSc)
- Mastère Spécialisé® (MS)
- Executive Education
- Doctoral programmes
- SKEMA Schools
- Compare our programmes
Faculty & Research
- Faculty
  Academies
  
  Professors
  
  Faculty recruitment
- Research
  Research centres
  
  Publications
  
  Knowledge transfer & expertise
Executive Education
- SKEMA Executive Education
- Degree programmes
  Executive Mastère Spécialisé®
  
  Global Executive MBA
- Certificates
- Short programmes
- Online programmes
- Customised programmes
- Study Tour
Corporate relations
International
Campuses & locations
- SKEMA Brazil
- SKEMA Canada
- SKEMA China
  Nanjing Campus
  
  Suzhou Campus
- SKEMA France
  Grand Paris Campus
  
  Lille campus
  
  Sophia Antipolis campus
- SKEMA South Africa
- SKEMA USA

Boutons inférieurs du menu déroulant

Companies
Alumni
Press
Contact us
Support SKEMA

Breadcrumb

Home
Publications

Publication

Anomalous data detection in vehicular networks using traffic flow theory

2019

M. Ranaweera ,

A. Seneviratne ,

David REY ,

M. Saberi ,

Vinayak DIXIT

2019

Footer

About SKEMA
Programmes & Schools
Our locations
Other websites SKEMA
Terms of use

Boutons du pied de page

Apply
Brochures
Contact us

Subscribe to our newsletters

Stay informed and never miss an update - subscribe to our newsletters.

Image
Image
Image

Image
Image
Image
Image