Information Security and Related Machine Learning Applications

Abstract

Information security is a field that prevents unauthorized access, modification, destruction or transfer of existing information to third parties. Information security is categorized as virtual security, network, user, data, application, identity and security management. Information security vulnerabilities result from damage to a key element of confidentiality, integrity, and accessibility. To prevent this vulnerability from occurring, information is protected by applicable laws and possible attacks are prevented by network security protection by applying appropriate filters to Internet service providers. Computer aided studies are prevented all cyber/informatics-based attacks that damaging information security. In the literature, there are studies related to cyber security, prevention of intrusion, detection of malicious software and user password. Conventional machine learning methods and deep learning methods are used for information security. In this study, information about information security and machine learning based studies in the relevant literature are presented in detail. © 2019 IEEE.