Implementing a Microservices System with Blockchain
Title: - BLOCK-TRANDIFF: A Blockchain aided Novel Framework for Securing Microservice Functions of Cloud-Native Applications using Transfer Learning and Differential Privacy Mechanism.
Implementation Plan:
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Step 1: Initially, we create a network topology consisting of a Fog computing environment designed in iFogSim with multiple IoT devices, Multiple Users, Multiple containers and a single blockchain.
Step 2: Next, we perform the Bilevel Authentication Process, in this step the users are register their finger vein, email ID, and mobile number are taken into account, and they are authenticated on two levels.
2.1: The first level of authentication by sending two distinct one-time passwords to the registered mobile number and email ID using the Pseudo-Random Number Generator Algorithm (PRNGA).
2.2: The second level authentication points out the benign user in an intelligent manner where the secret code set during the registration is verified.
Step 3: Then we perform the Transfer Learning-based Microservice Security process, In this step we perform the intrusion detection using Quantum Convolutional Neural Network (QCNN). The handpicked algorithm is effective in terms of fast learning and great convergency when compared to the legacy convolutional neural network.
Step 4: Then next we perform If a large number of requests are sent by a user, their trust values will be decreased when it seems to be unusual. To be more specific, the users with the least trust values are blocked to access the application to ensure security.
Step 5: Next the IDS in the target domain is accurately detecting the attacks.
Step 6: Finally, The Proposed Work evaluate the performance metrics,
(i) Number of users Vs Legitimacy
(ii) Number of users Vs Throughput
(iii) Number of users VS Attack detection rate
(iv) Number of Epochs Vs Accuracy
(v) Number of IoT Devices vs. Accuracy
(vi) Number of IoT Devices vs. cost
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Software Requirement:
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1) JDK-1.8
2) IDE-Netbeans-12.3
3) IFOGSIM
4) OS: Windows-10(64-bit)
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Note:
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The datasets UNSW-NB15 and NSL-KDD only contains text format datas, so we not perform the target domain is trained using these datasets.
We perform the EXISTING process based on the Paper Reference 3 Title: - A Transfer Learning Approach for Network Intrusion Detection.
Software Installation
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1) NetBeans-12.4
• Download Link: Go to https://netbeans.apache.org/download/...
• Download the full version that is the full bundled 'package'.
Installation steps:
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• Double click the windows.exe file. The NetBeans IDE installer will be launched.
• Next the NetBeans IDE installer wizard welcome page displayed. A list of default packs and run times shown in this welcome page. Click the Customize button. Select all packs and runtimes. Click OK.
• Then Accept the License Agreement and click next.
• Next choose the installation path. Click Browse if you want to change. The Java JDK properly set to the desired path for this machine. In our case we just accept the given path. Click Next.
• Next is the Glassfish web server installation path selection. Then set the Apache Tomcat installation path. If you want to change the path clicking the Browse button. Click Next.
• Next is the NetBeans IDE installation summary. If you want to change the previously selected settings, click back otherwise click Install.
• The installation completed successfully as shown in the following Figure. Click Finish.
2) JDK-1.8
• Download link: https://www.oracle.com/java/technolog...
• (32 or 64 bit -- java for Windows)
Installation Steps
• After download the JDK then accept the license agreement.
• Once the download is complete, run the exe for install JDK. Click Next
• Select the PATH for Java installation and click next. Once installation is complete click close.
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