A Novel Work for Improving Security and Challenges using Fuzzy Logic Approach in VANETS
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 4
Abstract
Vehicular AdHoc networks are the most emerging technologies in now-a-days. VANETs have many challenges like security and time latency when users are travelling in the roadways. There are many techniques available to overcome this kind of problems. One of the efficient methods is Prediction Based Authentication (PBA), in this scheme vehicle users must generate keys using symmetric cryptography for transmitting the information from one vehicle to another vehicle, Sometimes the generated keys are mismatched or hacked by the users due to key replication. In symmetric cryptography the sender and receiver share the common key for data transmission the security of the network and data are not protected. It will lead to malicious attack, resource cannot be efficiently used, and authentication based on signature will be mismatch. In order to achieve authentication, integrity and improve the validity of the network we proposed a localization algorithm based on fuzzy set. In this approach we use binary values that lie in the range between 0 to1. Due to this location of the vehicles can be traced easily by dividing the location into zones using localization algorithm. Fuzzy set using two parameters of vehicles namely speed and distance by using best hops node selection from the current forwarding node. The requirements of security like authentication of messages, privacy and tracing of location can be improved.
Authors and Affiliations
B. Gopinath, B. Purushothaman
Keywords
Related Articles
- EP ID EP23719
- DOI http://doi.org/10.22214/ijraset.2017.4012
- Views 367
- Downloads 5
Credit Card Fraud Detection and Biometric Securities
Now a day the usage of credit cards has dramatically increased. As credit card becomes the most popular mode of payment for both online as well as regular purchase. This also increases Number of frauds associated with...
Study of Meta, Naïve Bayes and Decision Tree based Classifiers
Classification deals with the kind of data mining problem which are concerned with prediction. Its main task is to classify the data in order to make predictions about new data. In general Classification can be viewed a...
Privacy Preservation for Preventing Data OverCollection in Smart Phones using Mobile-Cloud Framework
Smart city is meant to be the key for next generation urbanization process. In smart city all kinds of user data are stored in electronic devices to make everything intelligent and efficient. A smart phone is the most w...
An Investigation of Heat Transfer in Vertical Shaft Kiln Process of Cement Manufacture: Part I - Convection
Packed bed heat transfer associated with the black meal vertical shaft kiln (VSK) process of cement manufacture was studied using varying feed sizes of the raw material and air flow rates using an experimental prototype...
Disposal of Solid Waste For Landfilling In Karad City A Review
Landfill considered as one of the most popular method of disposal of Municipal solid Waste in India. The typical composition of MSW in India is around 40-60%, of organic waste 30-40% of earthen materials paper, metals,...