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Closed Posted 7 years ago Paid on delivery
Closed Paid on delivery

Owing to the scattered nature of Denial-of-Service attacks, it is tremendously challenging

to detect such malicious behavior using traditional intrusion detection systems in Wireless

Sensor Networks (WSNs). In the current paper, a hybrid clustering method is introduced,

namely a density-based fuzzy imperialist competitive clustering algorithm (D-FICCA).

Hereby, the imperialist competitive algorithm (ICA) is modified with a density-based algorithm

and fuzzy logic for optimum clustering in WSNs. A density-based clustering algorithm

helps improve the imperialist competitive algorithm for the formation of arbitrary

cluster shapes as well as handling noise. The fuzzy logic controller (FLC) assimilates to

imperialistic competition by adjusting the fuzzy rules to avoid possible errors of the worst

imperialist action selection strategy. The proposed method aims to enhance the accuracy of

malicious detection. D-FICCA is evaluated on a publicly available dataset consisting of real

measurements collected from sensors deployed at the Intel Berkeley Research Lab. Its performance

is compared against existing empirical methods, such as K-MICA, K-mean, and

DBSCAN. The results demonstrate that the proposed framework achieves higher detection

accuracy 87% and clustering quality 0.99 compared to existing approaches.

Matlab and Mathematica

Project ID: #10763934

About the project

3 proposals Remote project Active 7 years ago

3 freelancers are bidding on average $150 for this job

kjgroup197318

-------------Best Result on Time & Good Experience in Intrusion Detection! & No problem!------------ Hello, dear! I'm very interesting of your project because I'm expert of Machine Learning and Matlab Developer! I h More

$200 USD in 7 days
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6.5
sabirshah4545

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allwriter4u

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watsonbrain

Dear, sir. Your project attracted my attention at first glance, because I've really rich experience in MATLAB simulation and programming. I'm really confident about your project, and very eager to join your project. More

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adeto300

Based on your request I would use density-based fuzzy imperialist competitive clustering algorithm (D-FICCA) to solve your clustering problem in wireless sensor networks (WSNs). I would develop a model and simulation More

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