| Idea Name: |
Communication Jammer |
| Slogan: |
Making world a secure place! |
| Supervisor Name: |
Muhammad Shahzad Arif |
| Supervisor Designation: |
Instructor |
| Supervisor School: |
CAE |
| Supervisor Department: |
Avionics |
| Contact number: |
[email protected] |
| Email ID: |
[email protected] |
| Abstract: |
| The jammer would employ spectrum sensing Q-learning algorithm of RL
for converging to an optimum jamming technique at its own without prior
knowledge of underlying communication link Protocols. |
| What is the unmet need in society that your idea will fulfill ? |
| It helps in defensive system by deteriorating the opposing side
communication quality with appropriately releasing jamming signals
and will be an effective technique of electronic warfare.
It also help in cyber security. |
| Who needs it ? How many would benefit ? |
| It will be very beneficial for defense forces.
Cyber security Issues.
Electronic warfare techniques
|
| How will the solution works |
| The proposed jamming approach exploits the environment to understand the communication protocol which is being
used for communication at its own and achieves effective jamming while conserving minimal amount of jamming power. It uses Q-learning algorithm to learn an optimum policy, which guides an AI agent to take most suitable action under a certain scenario (commonly known as a state). In this way, the agent
converges to an optimum policy to maximize the long-term reward.
|
| Who are your competitors ? How is your solution different |
| There are existing communication techniques but it will valid for a particular communication link protocol. This project has self learning ability that will learn the communication link protocol and be able to jam it optimally. Since this is a new idea based on RL so there are less competitors. |
| Status: |
new |
| Entry Date & Time: |
2021-12-14 (0759) |
