Mathematics and Computer Science

Special Issue

Machine Learning, Artificial Intelligence and Data Sciences for Securing Information System

  • Submission Deadline: 15 October 2020
  • Status: Submission Closed
  • Lead Guest Editor: Mesbaholdin Salami
About This Special Issue
As the use of personal computers and the rise of computer networks, followed by the Internet (the world's largest network), the lives of computers and their users have undergone major changes. In order to take advantage of the achievements and benefits of ICTs, computer users are required to adhere to specific principles and take serious care of all the factors that influence the continuity of service delivery in a computer system. Information security and computer network security are some of these components that cannot be considered individual or organization. Addressing the issue of information security and computer network security in any country requires the attention of all users, regardless of occupation and age, to the position of information security and computer network security, and this should be looked at at the macro level and in the national interest. Lack of security in computer and information networks, lack of proper training and justification of all users regardless of their occupational responsibility for the importance and importance of information security, lack of guidelines for preventing security breaches, lack of specific policies in place to deal properly and Timely security flaws will lead to issues that are harmful to all computer users in one country and in fact put the information infrastructure of a country at serious risk. To this end, data mining with artificial intelligence-based methods can help identify information holes and become intelligent in a lifelong learning process to address the security challenges of the area under investigation. Because of this, one can use artificial intelligence based methods such as neural network and meta-algorithmic algorithms etc.
Aims and Scope:
  1. Data mining
  2. Neural network
  3. Forecasting
  4. Statistic method
  5. Wavelet
  6. Metaheuristic
Lead Guest Editor
  • Mesbaholdin Salami

    Department of Industrial Engineering, Islamic Azad University, Tehran, Iran