Database Availability Security: Handling Denial of Service (DoS) Attacks

In the data based digital age, there are risks of attacks that cause denial of service (DoS) or distributed denial of service (DDoS) which pose threats to the security and availability of databases especially with those who are affected by this which is very disturbing. This research aims at analysing the methods of detecting and preventing DoS and DDoS attacks, with more focus on the security of databases. This research identifies and evaluates various strategies employed to counter such threats to cloud and Internet of Things (IoT) systems from the literature review conducted using the PRISMA approach. The analyses show that machine learning algorithms are capable of enhancing the detection of DoS/DDoS attack's efficiency and accuracy, and the cloud and IoT security solutions, including complex load balancing and powerful firewalls, are crucial for preventing and mitigating such attacks. This study also shows that, AI should be included in the security plans and security measures should be adaptable and proactive. This work is useful for scholars, developers, and cybersecurity experts who are interested in enhancing measures to counter and prevent advanced cybercrimes and ensuring continued and reliable functionality in data centric settings.