TY  - JOUR
TI  - Minimizing The Denial of Service Attack By Using The Cloud Information Framework
AU  - G. Dhana Sekar
AU  -  M.Vidhyasree
AU  -  S. Radhika
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2018/04/30
PY  - 2018
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT1833419
VL  - 3
IS  - 4
SP  - 479	
EP  - 484
AB  - Due to the close correlation with individual’s physical features and status, the adoption of Cyber-Physical Social Systems (CPSSs) has been inevitably hindered by users’ privacy concerns. The success of the Cloud Computing paradigm is owing to its on-demand, self-service, and pay-by-use nature. Attacks involve not solely the standard of the delivered service, but conjointly the service maintenance prices in terms of resource consumption. Specifically, the longer the detection delay is, the higher the prices to be incurred. Therefore, a selected attention has to be procured stealthy DoS attacks. They aim at minimizing their visibility, and at identical time, they will be as harmful as the brute-force attacks. They’re subtle attacks tailored to leverage the worst-case performance of the target system through specific periodic, pulsing, and low-rate traffic patterns. In this paper, we have a tendency to propose a method to orchestrate stealthy attack patterns, that exhibit a slowly-increasing-intensity trend designed to bring down the most monetary value to the cloud customer, whereas respecting the work size and therefore the service arrival rate obligatory by the detection mechanisms. We have a tendency to describe each how to apply the projected strategy, and its effects on the target system deployed within the cloud.