Current time represents the era of communication technology and in this revolution MANET is widely used and act as a key star for data communication in real life decisive scenario for e.g., disaster management, traffic control, military services etc. MANET is infrastructureless data
communication network comprising of mobile nodes. For MANET it requires secure and energy efficient framework for the underlying routing protocol. To meet the need of efficient data communication in MANET, an Energy Efficient and Secure AODV (EES-AODV) protocol is proposed. In the projected
routing protocol, first the order of network nodes happen dependent on energy and afterward encryption has been done. Simulation of projected protocol is performed for such as Average Delay, PDR and Throughput. Simulated results shows that modified AODV gives optimized performance and provides
a more secure and energy aware protocol.
Abstract-The objective of Optimum Route Selection for Vehicle Navigation System (ORSVNS) article is to develop a system, which provides information about real time alternate routes to the drivers and also helps in selecting the optimal route among all the alternate routes from an origin to destination. Two types of query systems, special and general, are designed for drivers. Here, the criterion for route selection is introduced using primary and secondary road attributes. The presented methodology helps the drivers in better decision making to choose optimal route using fuzzy logic. For experimental results ORSVNS is tested over 220 km portion of Haryana state in India.
With the unstable development of the data accessible on the Internet, WWW has turned into the most capable stage to store, recover, and communicate data. The same number of individuals have taken to the Internet for data gathering, examining client conduct from web get to the logs can
be useful to make versatile framework, recommender framework, and clever online business applications. We get to log records are the documents that contain data about the connection amongst clients and the sites with the utilization of the Internet. It contains many points of interest as authentication
of users, Address related to IP, time of visit, accessing, data transferred, status setting of result, URL and so on. To analyze web log data for prediction of consumer behavior, various free and paid tools is available online. By studying and comparing various analyzer, a website owner can
select the best tool for prediction of consumer behavior. This paper gives a neat report between celebrated log analyzer instruments in light of their highlights and execution.
In cloud computing users are able to access the information and resources. Data and network security are lot of security challenges are facing by this technology on the time of accessing information and resources from the cloud. The secure communication of digital information is very
necessary. The intruders can perform various types of network attacks during information transmission. A Location Based Authentication and an Information Security (LBAIS) framework is proposed in this paper, which authenticate the cloud users using Global Positioning System (GPS) and protect
the information using symmetric cryptography algorithm.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.