Cyber Security Threats and Countermeasures using Machine and Deep Learning Approaches: A Survey

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 defense secrets, subvert the nation’s systems Internet-connected devices. Cyber security solutions are required detect, analyze, defend against threats protect sensitive data from unauthorized access. This study gives a detailed survey of different cybersecurity attacks, like Denial-of-service Botnet Evasion Attacks, Malware invasions, Spam phishing invasion, Spoofing, Domain Generation algorithms, Probing R2L, U2R attacks. research review emphasizes Machine Learning Deep Learning-based approaches Cybersecurity problems. study’s key highlights challenges, issues, cyber domains, tools for Intrusion detection system. Data sets play vital role research; hence, Private Publically available datasets reviewed this study. Various performance matrices discussed which can be used evaluate effectiveness solutions.