E-learning or digital education is one of the advantages provided by the information revolution, which covered all fields and did not exclude the education sector, as many platforms and applications that provide distance education services were available. Students, professors, and education departments have multiple options to manage the educational and academic process. However, with all these positive advantages, this type of education entailed great risks related to cybersecurity much related research says that the education sector has the greatest percentage of attacks and threats denial of service, ransomware, and phishing attacks. This paper studies and analyses those risks using the Kaspersky DDoS Intelligence System. A part of Kaspersky DDoS Protection and explain the methods of protection for educational institutions.

Today, we are witnessing the widespread of the digital revolution and its applications in all fields, as the means of networking provided the exchange of information, experiences, and knowledge in all sectors, but with all these positive features, we find that today’s digital world has brought a wide range of risks of its own, such as attacks and malicious programs like viruses, worms, spyware files, etc. and the education sector higher education is not far from these negative influences that hinder the education process and affect its infrastructure and its periphery, including students, teachers, administrative assistants, the environment and teaching methods. For this risk, we need to awareness and cyber security training and adopt a solid cyber security policy in higher education sectors institution in order to protect this vital sector. This research paper will explore the importance of cybersecurity in this sector and provide the strategies that students, faculty, and staff can utilize to promote cybersecurity across higher education institutions.

There is an emerging scalability problem with existing security models as the size of the networked systems becoming larger, especially when analyzing all possible attack scenarios. presented the worst case computational complexity analyses based on fully connected topology, but real life networked systems run on various network topologies, and other factors that affect the overall performances of security models. In this research, the scalability of existing security models is evaluated and compared with the HARM in realistic scenarios. Two main tasks in this research are (1) formulating key questions that need to be answered to assess the scalability of security models, and (2) evaluate and compare the scalability of security models using simulations.