BY KAVITA NAGPAL
Taking forward from our previous blog on ‘Artificial Intelligence (AI) in the Indian Defence Sector’ (https://thedefencespace.com/2023/05/25/artificial-intelligence-ai-in-the-indian-defence-sector/ in this blog post we will be covering few more AI-Technologies – ‘Cyber Security, Blockchain, and Human Behavioural Analysis’ – that are being indigenously developed or developing by the India’s Defence Industrial Base (DIB).
Refer the above given Image.
Block Chain Based Automation
- Permissive Block Chain Mechanism – The solution is intended to create a Trusted Communication Platform using Block chain. The idea is to establish a secured network for data transfers between DPSUs.
Distributed Ledger is the concept used for development with necessary Identity management and control mechanism to protect the data shared among different organizations. The proposed use-case solution is planned to provide transparency, security and auditability for file sharing among DPSUs using Block chain Technology.
Application of Products
- AI to be used for traffic pattern analysis for the security purpose of the entire system.
- The BCIDM (Block chain-based Identity Management) solution is useful to Defense forces to collaborate and share information amongst, after verification of their identities.
Cyber Security
- Android Malware Detection Solution – This is a comprehensive system to analyse the lacks and weaknesses of the android applications. It reports the detected malwares in a user-friendly format, performs audits and exploits (for vulnerability proof of concept purposes) Android applications.
Malware detection is done using deep learning libraries (RNN and LSTM).A sample dataset of 6000 Android applications is used to build a vulnerability scanner model using deep learning. This will predict the vulnerability for a new application fed to the model.
Set of tools include:
- Android Vulnerability scanning and exploitation
- Malicious application detection
- Android App Review Reporting
The solution can be used by Armed forces and also civilian domain applications that require Malware detection and analysis features
Human Behavioural Analysis
- Driver Fatigue Monitoring System – Assessing driver fatigue in critical conditions is an indispensable tool, especially in the armed forces. A real-time, non-intrusive AI-based system can predict accurately and identify situations where drowsiness and fatigue in the driver may be setting in. Detection is based on performance.
The intelligent system detects the onset of drowsiness in driver, while the vehicle is in motion. A camera inside the cabin films the driver continuously. A detection system analyses the movie frame by frame and determines whether the driver’s eyes are open or closed.
Detection is done by continuously looking out for symptoms of drowsiness, while considering physical cues including yawning, drooping eyelids, closed eyes and increased blink durations by using percentage of eyelid closure over the pupil over time (PERCLOS) algorithm.
DFM system involves two steps firstly, face detection with various facial landmarks and secondly, detecting drowsiness based on various analytics such as blinking, opening of mouth for yawning, movement of head etc. Face and landmark detection are based on image processing techniques.
Stay tuned for the next part of this BLOG POST wherein we will be covering other AI products being developed/developing by DPSUs and other private companies
Jai hind!
