Greetings sir, I would like to list the most important requirement for the paper

Greetings sir, I would like to list the most important requirement for the paper:
1- Write a literature survey summarizing selection of at least 10 papers (total for both surveys and technical)
2- Analyze and criticize the literature
3- Provide some future research directions.
4- ‘Related works’ section from survey papers with comparisons table between them, criticizing them in a table is important.
5- ‘Research Problem’ section.
6- It’s very important to use citation in a proper way.
The following is the abstract:
This Comparative study provides an insightful overview of the current cybersecurity landscape, particularly focusing on the challenges posed by cyberattacks and the limitations of traditional machine learning (ML) and deep learning (DL) methods. These conventional approaches often rely on flat data, which lacks the complexity to accurately represent the dynamic and intricate nature of cyberattacks. As a response to this limitation, the paper shifts its focus to the use of graph structures in cybersecurity. Graph structures offer a more sophisticated and abstract representation of systems, making them less susceptible to evasion by attackers. This aspect is crucial in enhancing the effectiveness of intrusion detection systems.
The introduction then highlights the emerging role of Graph Neural Networks (GNNs) in this context. GNNs have become increasingly relevant in cybersecurity due to their proficiency in interpreting graph-structured data, which allows for more efficient and accurate intrusion detection. Importantly, this efficiency is achieved without the need for extensive domain-specific knowledge.
the abstract outlines the scope of the survey, emphasizing the application of graph representation learning in both network-based and host-based intrusion detection systems. It provides a thorough review of the latest research and datasets pertinent to GNN-based intrusion detection, offering a comprehensive perspective on the current state of the field.
Finally, the introduction discusses the resilience of GNN techniques against adversarial attacks, a critical aspect considering the evolving nature of cyber threats. It acknowledges the strengths and potential weaknesses of GNN-based systems and suggests directions for future research. This sets the stage for an in-depth exploration of GNNs in cybersecurity, promising to offer valuable insights and advancements in the field.