@article{MAKHILLJEAS2019142118569,
    title = {A Conceptual Framework for Denial-of-Service Attack Mitigation and
Prevention in Cloud Computing},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {14},
    number = {21},
    pages = {8114-8120},
    year = {2019},
    issn = {1816-949x},
    doi = {jeasci.2019.8114.8120},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2019.8114.8120},
    author = {Nancy},
    keywords = {flooding attack,change point detection,DDoS,cloud computing,anomaly detection,online
services},
    abstract = {While cloud computing provides various benefits to users, there are also underlying security and
privacy risks such as multi-tenancy, resource pooling and shareability features can be exploited by
cybercriminals and anyone with a malicious intent. Distributed Denial of Service (DDoS) attacks are considered
the main methods to destroy the availability of critical online services they overwhelm the victim with huge
volume of traffic and render it incapable of performing normal communication or crashes it completely. This
flooding attacks due to that all network resources and operations are blocked all at once. This study discuss
some related approaches for mitigating or preventing DDoS attacks for cloud environment. It also presents a
conceptual cloud DDoS defense framework based on classifier and change point detection components to
compare the traffic and resource usage in normal and attack situations and take a countermeasure action to drop
threated packet and alarm administrator.}
    }