Use of Smart Intrusion Detection System for Enhancing the Security in Hierarchical Wireless Sensor Network
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2021, Vol 9, Issue 5
Abstract
Trusted environment provides safety measures for the sensor network. There are many problems that occur during the management of resources. Memory management and computation overhead or CPU usage are the major issues. Security issues is another problem in Wireless sensor network.. The three types of issues like issues of memory, computation overhead and intrusion detection is considered in this proposed research. The proposed model has provided a mechanism for resource management in a wireless sensor network. This model would also resolve one diff type of issue like computation overhead. The proposed work is capable to classify IDS attacks using a deep learning model. For improving accuracy a Network model is proposed during intrusion detection using a recurring neural network. The network model is used for testing by the help of a confusion matrix to calculate The accuracy, precision, recall and fscore. For clustered wireless sensor networks the advanced adaptive and dual data communication trust scheme (adct) have been used. Research is able to handle untrustworthy nodes inefficient manner. A function that is used in this research to assess direct trust among nodes is called Adaptive trust function. In intracluster as well as intercluster this Trust mechanism ADCT is used. With the help of compression mechanism Packets have been compressed for reducing the computation overhead. For security in Intrusion, this proposed model would also be capable. Moreover, research work would also deal with selfish nodes and malicious nodes to provide better of service for network lifetime for different network sizes.
Authors and Affiliations
Rahul Das, Dr. Mona Dwivedi
Keywords
Related Articles
- EP ID EP747269
- DOI 10.21276/ijircst.2021.9.5.2
- Views 47
- Downloads 0
Comparison of Color Classification Using Computer Vision and Deep Neural Network
Research on artificial intelligence and machine learning is currently ongoing and is focused on real-world problems. Machine learning is used by computers to make predictions based on the provided data set or existing kn...
Selection of Appropriate Biogas Upgrading Technology-A Review of Biogas Cleaning, Upgrading and Utilisation
Biogas is going through a time of tremendous growth, and biogas upgrading is getting a lot of attention. As a consequence, the biogas upgrading business has significant challenges in terms of energy consumption and opera...
Providing Information Security Using Public Key Cryptosystems
Information security is main issue of this generation of computing because many types of attacks such as passive and active are increasing day by day. Information security is the practice of defending information from un...
A Research on Smart Transportation Using Sensors and Embedded Systems
Intelligent transportation systems (ITS) are advanced applications which, without embodying intelligence as such, aim to provide innovative services relating to different modes of transport and traffic management and ena...
Social Network Factor to Facilitate Learning in Knowledge Sharing
Social network is one of the important medium of communication in a new era of technology that can connect people around the world in a more interactive way. Social network sites like Face book, Twitter, Instagram , MySp...