• S.Sampath Kumar
• C.Gnanavel
• M.Dheepak

Deceptive Data Detection (DDD) in Vehicular Ad-hoc Network is a well- known research domain which holds the major concern on data integrity and data reliability. This problem comes under the category of data integrity checking which confronts a lifesaving schema when the data become sensitive. The traditional methods for targeting data integrity checking takes a concern amount of reliable checking time and the delay will get reflected in data transmission. Though the quality of solution seems an effective one, the delay has to be a major concern since even a millisecond delay causes disaster to a greater extent. This intended research interest helps the author to propose an effective way to discover a prominent deceptive data model which can detect the deceptive data based on density of vehicles in VANET simulation region to increase the reliability of deceptive detection

"Density Based Deceptive Data Detection and in VANETs", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 10, page no.78-82, October-2018, Available :http://www.jetir.org/papers/JETIR1810211.pdf

"Density Based Deceptive Data Detection and in VANETs", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 10, page no. pp78-82, October-2018, Available at : http://www.jetir.org/papers/JETIR1810211.pdf