System for allowing a secure access to a microservice

1. A method for allowing a secure access to a microservice, the method comprising:

receiving, by a processor, a request from a user device at an Application Programming Interface (API) gateway, wherein the request comprises a Uniform Resource Locator (URL) associated to a microservice;

identifying, by the processor, a set of input parameters from the URL, wherein the set of input parameters indicates information about the user device and the microservice;

validating, by the processor, the set of input parameters to provide a list of valid input parameters by comparing data type of each input parameter with a predefined list of valid data type for each input parameter;

extracting, by the processor, a request pattern from the URL to identify an operation to be performed at the microservice, wherein the request pattern is extracted by using machine learning techniques on historical data associated to the request pattern;

tracking, by the processor, an Internet Protocol (IP) address associated to the URL in order to form a group of one or more IP addresses corresponding to the microservice, wherein the IP address is a subset of input parameters;

detecting, by the processor, user credentials from the request to allow an access to the microservice when requested by the user device;

generating, by a processor, a decision tree by using a supervised machine learning technique on the list of valid input parameters, the request pattern, the group of one or more IP address, and the user credentials, wherein the decision tree comprises rules to allow the access to the microservice;

creating, by the processor, a stateless identity token at the API to encrypt the request, wherein the stateless identity token is created based on the user credentials and at least one rule applicable to the request; and

verifying, by the processor, the stateless identity token to allow a secure access to the microservice.

2. The method of claim 1 further comprises:

identifying the rules from a predefined repository comprising rules for each branch of the decision tree; and

creating the rules based on the list of valid input parameters, the request pattern, the group of one or more IP address, and the user credentials, wherein the rules are created for each branch when the predefined repository is out of rules.

3. The method of claim 1 , wherein the set of input parameters are a user name, user roles and permission, a location of the user device, an age of the request, a frequency of requests, a time gap between two requests, a count of requests made by the user device in a session, an access location pattern, and a location change pattern.

4. The method of claim 1 , wherein the API gateway acts as a single point of entry for a group of microservices.

5. A system for allowing a secure access to a microservice, the system comprises:

a processor;

a memory coupled to the processor, wherein the processor executes a set of instructions stored in the memory to:

receive a request from a user device at an Application Programming Interface (API) gateway, wherein the request comprises a Uniform Resource Locator (URL) associated to a microservice;

identify a set of input parameters from the URL, wherein the set of input parameters indicates information about the user device and the microservice;

validate the set of input parameters to provide a list of valid input parameters by comparing data type of each input parameter with a predefined list of valid data type for each input parameter;

extract a request pattern from the URL to identify an operation to be performed at the microservice, wherein the request pattern is extracted by using machine learning techniques on historical data associated to the request pattern;

track an Internet Protocol (IP) address associated to the URL in order to form a group of one or more IP addresses corresponding to the microservice, wherein the IP address is a subset of input parameters;

detect user credentials from the request to allow an access to the microservice when requested by the user device;

generate a decision tree by using a supervised machine learning technique on the list of valid input parameters, the request pattern, the group of one or more IP address, and the user credentials, wherein the decision tree comprises rules to allow the access to the microservice;

create a stateless identity token at the API to encrypt the request, wherein the stateless identity token is created based on the user credentials and at least one rule applicable to the request; and

verify the stateless identity token to allow a secure access to the microservice.

6. The system of claim 5 further comprises:

identifying the rules from a predefined repository comprising rules for each branch of the decision tree; and

creating the rules based on the list of valid input parameters, the request pattern, the group of one or more IP address, and the user credentials, wherein the rules are created for each branch when the predefined repository is out of rules.

7. The system of claim 5 , wherein the set of input parameters are a user name, user roles and permission, a location of the user device, an age of the request, a frequency of requests, a time gap between two requests, a count of requests made by the user device in a session, an access location pattern, and a location change pattern.

8. The system of claim 5 , wherein the API gateway acts as a single point of entry for a group of microservices.

9. A non-transitory computer readable medium embodying a program executable in a computing device for allowing a secure access to a microservice, the program comprising:

a program code for receiving a request from a user device at an Application Programming Interface (API) gateway, wherein the request comprises a Uniform Resource Locator (URL) associated to a microservice;

a program code for identifying a set of input parameters from the URL, wherein the set of input parameters indicates information about the user device and the microservice;

a program code for validating the set of input parameters to provide a list of valid input parameters by comparing data type of each input parameter with a predefined list of valid data type for each input parameter;

a program code for extracting a request pattern from the URL to identify an operation to be performed at the microservice, wherein the request pattern is extracted by using machine learning techniques on historical data associated to the request pattern;

a program code for tracking an Internet Protocol (IP) address associated to the URL in order to form a group of one or more IP addresses corresponding to the microservice, wherein the IP address is a subset of input parameters;

a program code for detecting user credentials from the request to allow an access to the microservice when requested by the user device;

a program code for generating a decision tree by using a supervised machine learning technique on the list of valid input parameters, the request pattern, the group of one or more IP address, and the user credentials, wherein the decision tree comprises rules to allow the access to the microservice;

a program code for creating a stateless identity token at the API to encrypt the request, wherein the stateless identity token is created based on the user credentials and at least one rule applicable to the request; and

a program code for verifying the stateless identity token to allow a secure access to the microservice.

10. The program of claim 9 further comprises:

a program code for identifying the rules from a predefined repository comprising rules for each branch of the decision tree; and

creating the rules based on the list of valid input parameters, the request pattern, the group of one or more IP address, and the user credentials, wherein the rules are created for each branch when the predefined repository is out of rules.