Does Anyone Here Have Knowledge of an Intrusion Detection System

           Undoubtedly, our skillful resource team have the in depth knowledge about the intrusion detection system. Along with that, our technical developers have enough knowledge to implement the research projects based on intrusion detection system. As sample, let us take a look about the list of topics that have been implemented by our research programmers.

Topical Research Topic in IDS

• Dependable intrusion detection system for IoT: A deep transfer learning based approach
• Intrusion detection based on privacy preserving federated learning for the industrial IoT
• Analysis of recent deep learning based intrusion detection methods for in vehicle network
• AI based network IDS using generative adversarial networks
• Intrusion detection and network information security based on deep learning algorithm in urban rail transit management system
• Deep generative learning models for cloud IDS
• Microcontroller unit chip temperature fingerprint informed machine learning for IIoT intrusion detection
• TCE-IDS: Time interval conditional entropy based intrusion detection system for automotive controller area networks
• Two layer intrusion detection system for IoT
• Deep learning framework for resilient intrusion detection in IoT enabled transportation networks
• Detection of real time malicious intrusions and attacks in IoT empowered cyber security infrastructures
• Cross domain industrial intrusion detection deep model trained with imbalanced data
• Real time network intrusion detection system using ANN in data mining

       As an additional note, we have highlighted some simulation tools that have been deployed in the process of intrusion detection system to acquire the finest results.

Simulation Tools Used in IDS

• Mininet
• OMNeT++
• Cooja
• NS-3
• Python
• Java

      Moreover, the embryonic research students can reach us at any to get to know about the significance of intrusion detection system.