Cyber Security Threats and Countermeasures using Machine and Deep Learning Approaches: A Survey
M Manjula, Venkatesh Venkatesh, K R Venugopal · Journal of Computer Science · 2023
Recent advancements in e-business, e-healthcare, e-governance, and online digital transactions have brought valuable benefits.Unfortunately, it raises severe cyber-attacks.Cyberattacks disrupt normal operations, try to retrieve confidential information and defense secrets, and subvert the nation's defense systems and Internet-connected devices.Cyber security solutions are required to detect, analyze, defend against threats and protect sensitive data from unauthorized access.This study gives a detailed survey of different cybersecurity attacks, like Denial-of-service attacks, Botnet Evasion Attacks, Malware invasions, Spam and phishing invasion, Spoofing, Domain Generation algorithms, Probing attacks, R2L, and U2R attacks.This research review emphasizes Machine Learning and Deep Learning-based approaches to Cybersecurity problems.This study's key highlights are the research challenges, cybersecurity issues, cyber security domains, and tools for the Intrusion detection system.Data sets play a vital role in cybersecurity research; hence, Private and Publically available datasets are reviewed in this study.Various performance matrices are discussed in this survey which can be used to evaluate the effectiveness of cybersecurity solutions.