Performance Analysis of Cross Chain Systems in Blockchain Networks
Implementation Plan:
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Step 1: Initially, we will collect and load data from the Blockchain Data Trust (BDT) Benchmark Dataset.
Step 2: Next, we preprocess the data using LSTM – GRU Deep Learning techniques to remove the noise, data inconsistencies and any missing entries to achieve data reliability.
Step 3: Next, we authenticate the multiple instances of blockchain using the Enhanced Blockchain Consensus Authentication (EBCA) to secure the cross-chain connections based on collected data.
Step 4: Next, we verify the identity of users/accounts and validate all transactions using the Novel ZKP-Based Blockchain BZDIMS and AILBSM method based on collected data.
Step 5: Next, we enhance the privacy and strengthen security in cross-chain blockchain using the Novel ZK-Merkle-LDP-FL Secure Aggregation Framework method to minimize overfitting based on collected data.
Step 6: Next, we optimize the blockchain transaction validation using Practical Byzantine Fault Tolerance (PBFT) method based on collected data.
Step 7 : Finally, we plot performance for the following metrics:
7.1 : Number of Transaction Vs. Accuracy (%)
7.2 : Number of Transaction Vs. Transaction Latency (ms)
7.3 : Number of Transaction Vs. Computational Cost (%)
7.4 : Number of Transaction Vs. Communication Overhead (%)
7.5 : Number of Transaction Vs. Transaction Throughput (TPS)
Software Requirements:
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1. Development Tool: Python 3.11.4 or above
2. Operating System: Windows 10 (64-bit) or above
Dataset Link:
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Link: Blockchain Data Trust (BDT) Benchmark Dataset – https://www.kaggle.com/datasets/rashmiratnayake/blockchain-data-trust-bdt-benchmark-dataset
Note:
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1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance.
2) Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.
3) If there’s no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process.
4) If the plan satisfies your requirement, Please confirm with us.
5) Project based on Simulation only.
6) If you have any changes in the dataset ,kindly provide us before we implement it.
We perform with an Existing approach Ref 1 : Title:- Application of IoT and blockchain technology in the integration of innovation and industrial chains in high-tech manufacturing
