| Idea Name: |
Anomaly Detection |
| Slogan: |
Secure Today For Better Future |
| Supervisor Name: |
Waleed Bin Shahid |
| Supervisor Designation: |
Associate Professor |
| Supervisor School: |
Military College Of Signals, Rawalpindi |
| Supervisor Department: |
Information Security |
| Contact number: |
923333305533 |
| Email ID: |
[email protected] |
| Abstract: |
| NextGen Anomaly Detection Engine detects an anomaly in the network traffic with the help of machine learning and visualizes it to security analyst. |
| What is the unmet need in society that your idea will fulfill ? |
| Current security devices lack in providing Machine Learning and better visualization. Our solution will have the ability to detect and classify network attacks using Machine Learning and their visualization through well-known visualization tools. |
| Who needs it ? How many would benefit ? |
| Any organization which has a computer network and wants to secure its network against cyber attacks. |
| How will the solution works |
| NADE captures live network traffic and extracts useful features using Zeek scripts. Then this traffic is passed to the trained Machine Learning Model which labels it as benign or attack(type of attack). Labeled results are sent to Elastic search for indexing. Kibana will be used as an operational security dashboard to have full visibility of security attacks for the Network Administrator |
| Who are your competitors ? How is your solution different |
| Our competitors are security companies i.e. snort, IBM QRadar and Suricata which are providing similar solutions to secure the network.Our solution is cost-effective and detects advanced attacks with higher accuracy. |
| Status: |
new |
| Entry Date & Time: |
2021-01-05 (1726) |
