Detection of DDoS attack in cloud computing and its prevention: a systematic review
Ali Raza
Detection of DDoS attack in cloud computing and its prevention: a systematic review - Vol.9(1), Jan-Jun - Tamil Nadu i-manager's 2022 - 1-8p.
Cloud computing is one of the latest and greatest environments for delivering Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS) in digital communications infrastructure. Cloud computing helps the user remotely access the required service as needed through the Internet. But this technological advancement, due to its remote availability in the cloud, leads to new attacks. One of the biggest threats to cloud infrastructure is Distributed Denial of Service (DDoS) flooding attacks. DDoS flooding attacks are clearly trying to exploit the availability of services for a legitimate user. An attacker gains access to a large number of computers (i.e., botnets) by exploiting the vulnerabilities, and then uses the botnets to initiate an organized attack with a large number of targets. This paper analyses the latest methods for detecting and preventing Distributed Denial of Service (DDoS) attacks. It also provided methods and technologies for preventing, detecting, and responding to DDoS flood attacks.
Computer Engineering
Detection of DDoS attack in cloud computing and its prevention: a systematic review - Vol.9(1), Jan-Jun - Tamil Nadu i-manager's 2022 - 1-8p.
Cloud computing is one of the latest and greatest environments for delivering Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS) in digital communications infrastructure. Cloud computing helps the user remotely access the required service as needed through the Internet. But this technological advancement, due to its remote availability in the cloud, leads to new attacks. One of the biggest threats to cloud infrastructure is Distributed Denial of Service (DDoS) flooding attacks. DDoS flooding attacks are clearly trying to exploit the availability of services for a legitimate user. An attacker gains access to a large number of computers (i.e., botnets) by exploiting the vulnerabilities, and then uses the botnets to initiate an organized attack with a large number of targets. This paper analyses the latest methods for detecting and preventing Distributed Denial of Service (DDoS) attacks. It also provided methods and technologies for preventing, detecting, and responding to DDoS flood attacks.
Computer Engineering