AI and Network Security (AiNetSec) Research Lab 

The AI and Network Security (AiNetSec) Research Lab is a global research group focused on developing AI-driven solutions for modern network security challenges. The group is committed to producing high-quality research, with an emphasis on publishing in Q1/Q2 Scopus and Web of Science (WoS) journals. It operates through a structured, team-based approach, ensuring efficient collaboration and communication.

Objectives:

• To develop innovative AI solutions for addressing cybersecurity threats like DDoS, intrusion detection, and network anomalies.

• To mentor researchers and students in network security, guiding them through cutting-edge research and publication processes.

• To publish high-impact research in leading journals, focussing on Q1/Q2 Scopus and WoS indexed publications.

Team Structure:

The research hub will be divided into three groups, each consisting of 3 people, including a group leader for each team. Group leaders will communicate directly with the Lab Leader to ensure streamlined collaboration and project updates.

• Lab Leader: Abdinasir Hirsi, PhD Scholar in Electrical Engineering, UTHM University: The Lab Leader oversees all research activities across the three groups, provides strategic guidance, mentors group leaders, and ensures that each group is meeting its research objectives and publication goals. The Lab Leader also facilitates collaborations with external partners and manages the publication process for Q1/Q2 Scopus and WoS journals.

• Group Leader: The Group Leader manages Group 1’s tasks, coordinates research activities, and ensures the group’s progress aligns with the overall goals of the research hub. The leader will communicate with the Lab Leader, providing regular updates and seeking support when needed.

• Second Member: Responsible for assisting in research tasks such as AI model development, data analysis, and contributing to research publications. This member will collaborate closely with the Group Leader and other team members.

• Third Member: Contributes to coding, data collection, and writing parts of the group’s research output. This member works under the direction of the Group Leader and collaborates on experiments and simulations.

Requirements for Joining:

• Academic Background: Degree in computer science, electrical engineering, or cybersecurity.

• Strong interest in AI/ML and network security.

• Technical Skills: Proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch) and network security tools (e.g., Wireshark, Snort).

• Experience in data analysis, machine learning, and cybersecurity.

Financial Requirement:

• Each student member will contribute $5 per month to cover publication fees.

Soft Skills:

• Effective communication and collaboration skills for remote work.

•  Ability to work independently and contribute to group tasks.

Responsibilities:

• Lab Leader: Oversee the entire research hub, mentor group leaders, and guide research and publication efforts.

• Group Leaders: Manage their respective groups, coordinate research tasks, and ensure communication with the Lab Leader.

• Group Members: Conduct research, analyze data, develop models, and assist in drafting publications.

 Current Focus Areas:

• AI-Driven DDoS Detection Systems: Utilizing machine learning models to detect and mitigate DDoS attacks in software-defined networks.

• Anomaly Detection in Network Traffic: Applying AI to identify unusual patterns in network traffic and secure against potential threats.

• Adaptive Security Models: Developing deep learning models that can dynamically respond to evolving cybersecurity threats.

• IoT Security: Investigating AI solutions to secure Internet of Things (IoT) infrastructures and devices.

Tools and Technologies:

• AI/ML Libraries: TensorFlow, PyTorch, Scikit-learn

• Network Security Tools: Wireshark, GNS3, Mininet, Snort, Suricata, OpenFlow

• Version Control: GitHub for code collaboration

• Project Management: Slack, Google Drive, Trello for communication and task tracking

Communication Structure:

• Group Leaders: Report directly to the Lab Leader, ensuring that each group’s progress is communicated effectively.

• Lab Leader: Oversees the research direction and coordinates tasks across all three groups.

• Meetings: All meetings will be conducted via Microsoft Office Teams for discussions on progress and task updates.

How to Apply: Candidates should submit:

• A CV detailing their academic background and technical experience. Please send to ainetsecresearchlab@gmail.com

• A brief cover letter explaining their interest in the research hub and relevant skills.

• A commitment to a monthly contribution of $5 for publication fees.