NetBit is an advanced network monitoring device designed specifically for small businesses. It integrates machine learning-based network anomaly detection, comprehensive access control, and real-time monitoring to provide a robust and intelligent network security solution. Our mission is to protect small businesses from evolving cyber threats, ensuring data integrity and operational continuity.

• Company History
• Mission and Vision
• Team Section

To protect users in a dynamic environment where new threats surface frequently, the ability to identify malicious packets on the network is essential. An active intrusion and prevention system is unavoidable in these circumstances. Aged intrusion and prevention system are facing problems in detecting modern network attacks with low accuracy, and high rate of false positives being major problems. To deal with this dilemma, we are suggesting an intrusion detection and prevention system based on deep learning, which uses multi-modal artificial neural network. Here, we mainly focus on the four types of network attacks.

Those are Distributed Denial of Service (DDoS) attacks, Reconnaissance attack in both normal and the IoT traffic, BlackBox attacks and the Mirai botnet attack. We embarked upon the varies development of various types of multi-modal Artificial Neural Networks, followed by an extensive investigation to determine the most suitable model for our application.

The research problem addressed by NetBit centers on the significant deficiencies in existing network access control systems, particularly for small businesses. Traditional systems often fail to meet the complex security and usability needs of small enterprises, leaving them vulnerable to sophisticated cyber threats. These businesses typically lack the resources and expertise required to implement robust security measures, making them prime targets for network anomaly, unauthorized access, and data breaches.

NetBit aims to bridge this gap by offering an intelligent, user-friendly network access control system that enhances both security and manageability. The system integrates advanced machine learning-based network anomaly detection, dual admin panels for streamlined management, and comprehensive access control features tailored to the unique operational environment of small businesses.

• Inadequate network anomaly Detection: Traditional firewalls and antivirus software often fail to detect and mitigate new, evolving malware threats effectively.
• Complex Access Control: Existing solutions do not provide granular control over network access, leading to potential unauthorized access and data breaches.
• Usability Challenges: Many network security solutions are too complex for small business administrators, who may lack specialized IT knowledge.
• Resource Limitations: Small businesses typically have limited IT resources and budgets, making it difficult to invest in high-end security solutions.

By addressing these challenges, NetBit seeks to provide small businesses with a comprehensive, cost-effective, and easy-to-use network security solution that ensures robust protection against cyber threats while enhancing operational efficiency.

In the realm of network security, particularly for small-scale enterprises, there is a significant research gap in developing solutions that are both comprehensive and user-friendly. Small businesses often struggle with limited IT resources and expertise, making them vulnerable to sophisticated cyber threats. Existing network access control systems typically fail to address the unique requirements of these businesses, such as the need for easy management, real-time threat detection, and cost-effectiveness.

Key Aspects of the Research Gap:

• Scalability and Usability:

  Current network security solutions are often designed with larger enterprises in mind, leading to scalability issues and complex interfaces that are not suitable for small businesses. Small enterprises require systems that are easy to implement, manage, and scale according to their growth without needing extensive technical knowledge.

• Advanced Threat Detection:

  Traditional security systems rely heavily on signature-based detection methods, which are not effective against evolving and sophisticated malware. Small businesses need advanced threat detection mechanisms, such as machine learning-based systems, that can adapt to new threats in real-time.

• Comprehensive Access Control:

  Many existing solutions lack detailed access control features that can be customized to the specific needs of small businesses. Effective network security requires granular control over user access to different network resources, ensuring only authorized personnel can access sensitive data.

• Cost-Effectiveness:

  Small businesses operate on limited budgets, making it challenging to invest in high-end security solutions. There is a need for affordable yet robust network security systems that do not compromise on essential features and protection levels.

• Integration and Compatibility:

  Small businesses often use a mix of legacy and modern systems. Existing network security solutions may not be compatible with diverse IT environments, leading to integration challenges. A gap exists in creating flexible security systems that can seamlessly integrate with various existing infrastructures.

• User Empowerment:

  There is a lack of focus on empowering end-users within small businesses to manage their own network security settings. Providing users with tools to monitor their data usage, block websites, and receive real-time updates can significantly enhance overall security posture.

NetBit aims to fill this research gap by developing a network access control system specifically tailored for small businesses. It combines advanced machine learning for real-time network anomaly detection, comprehensive and customizable access control, user-friendly interfaces, and cost-effective solutions to provide an all-encompassing network security system. This approach not only enhances security but also empowers small business owners and administrators to effectively manage their network environments.