Secure Task Allocation in Cognitive IoT for Multi-Cloud 🌐

Title:- Multi-objective-based secure task identification and allocation in cognitive-IoT gateway for a multi-cloud environment
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Implementation Plan:
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Step 1: We create a Network , it consists of 100 - IoT Devices, 10- Users, 4- Cognitive IoT Gateway, 1- Blockchain and 1- Multi Cloud Datacenter.



Step 2: Next We Perform the User authentication process, In this process the Users are registered with their credentials username, password, email secure code using Elliptic-curve cryptography (ECC) with the cognitive-IoT gateway.

Step 3: Next we perform the Task scheduler process, In this process the task datas from various sources, such as IoT devices, sensors, or user inputs are scheduled based on various factors such as task complexity, granularity, or resource requirements.

Step 4: Next we perform Scheduling in an edge–cloud collaborative computing environment. The execution can be monitored and managed by the gateway to ensure the completion of tasks within the specified constraints. In this process we used HPWOA algorithm.

Step 5: Then we perform Block chain Using Distributed hash Table (DHT) process, In this process each task can be assigned a unique identifier and recorded in a block on the blockchain, making it traceable and auditable.

Step 6: Finally, the proposed approach is validated by means of several performance metrics such as,
6.1: Efficiency
6.2: Scalability
6.3: Resource utilisation
6.4: Accuracy
6.5: Convergence speed

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Software requirements:
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1) ns-3.26
2) java
2) ubuntu- 14.04 LTS(32 bit --- primary single os only)
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Note:-
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We perform the EXISTING process based on the REFERENCE 1 Title:- Task Scheduling Techniques for Energy Efficiency in the Cloud
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#TaskAllocation
#AlgorithmPerformance
#CognitiveIoT
#PerformanceAnalysis
#IoTAlgorithms
#TaskManagement
#CognitiveComputing
#IoTPerformance
#AlgorithmOptimization
#SmartTaskAllocation
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