MALICIOUS DATA INJECTION DETECTION AND PREDICTION IN WIRELESS SENSOR NETWORK USING IMPROVED SWARM INTELLIGENCE
Objective
To enhance security in wireless sensor networks (WSNs), we developed an improved swarm intelligence algorithm to detect and eliminate malicious data. Our tests demonstrate its effectiveness in safeguarding WSNs.
Abstract
Wireless sensor networks (WSNs) are vulnerable to harmful influences at a distance as well as from within due to their fragility. Put another way, security is necessary for many applications that use wireless sensor networks. Events like fires and floods are located by sensor data. Because wireless sensor networks are susceptible to attack, it's critical to safeguard the network by identifying instances of fraudulent data entry. A malicious network traffic identification and removal algorithm has been created. The performance of the proposed improved swarm intelligence algorithm is evaluated on several datasets. The algorithm is tested with a simulator. How to recognize and eliminate fraudulent data from wireless sensor networks is demonstrated by the study and simulation results.
Keywords: WSN, Malicious Data Injection Detection, Prediction, Improved Swarm Intelligence.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Software: Matlab 2020a or above
Hardware:
Operating Systems:
- Windows 10
- Windows 7 Service Pack 1
- Windows Server 2019
- Windows Server 2016
Processors:
Minimum: Any Intel or AMD x86-64 processor
Recommended: Any Intel or AMD x86-64 processor with four logical cores and AVX2 instruction set support
Disk:
Minimum: 2.9 GB of HDD space for MATLAB only, 5-8 GB for a typical installation
Recommended: An SSD is recommended A full installation of all MathWorks products may take up to 29 GB of disk space
RAM:
Minimum: 4 GB
Recommended: 8 GB
Learning Outcomes
· Introduction to Matlab
· What is EISPACK & LINPACK
· How to start with MATLAB
· About Matlab language
· Matlab coding skills
· About tools & libraries
· Application Program Interface in Matlab
· About Matlab desktop
· How to use Matlab editor to create M-Files
· Features of Matlab
· Basics on Matlab
· What is Communication?
· About Communication
· Introduction to Communication
· How Communication Works?
· Importing the System Design, Characterization and Visualization
· Analyzing of BER tool
· Analyzing of Error Rate Test Console
· Generation of WSN
· WSN network creation
· Nodes Communication
· Clustering
· Routing
· Convolutional
· Equalization and Synchronization etc.,
· How to extend our work to another real time applications
· Project development Skills
o Problem analyzing skills
o Problem solving skills
o Creativity and imaginary skills
o Programming skills
o Deployment
o Testing skills
o Debugging skills
o Project presentation skills
o Thesis writing skills
Paper Publishing
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
