Please use this identifier to cite or link to this item:
http://localhost:8081/xmlui/handle/123456789/2247
Title: | PACKET MONITORING APPROACH TO PREVENT CODOS AarrAac IN CLOUD COMPUTING |
Authors: | Chouhan, Vikas |
Keywords: | CLOUD COMPUTING;DDOS attacks;MONITORING APPROACH;ELECTRONICS AND COMPUTER ENGINEERING |
Issue Date: | 2012 |
Abstract: | In cloud environment, cloud servers providing requested cloud services, sometimes may crash after receiving huge amount of requests. This is exactly what happens in a Denial of Service (DoS) attack. It prevents the authentic clients from getting service. DoS attack is accompanied by IP Spoofing so as to hide the source of flooding and to make every request look different. Hence, it is an important research field to detect malicious packets and reduce attack on cloud servers. The DDoS attacks have become more and more common and caused some disastrous harm in the recent time. Internet user's familiar with Denial-of-Service attacks. Systems are failure due to receiving spam containing information that sometimes corrupt the stored information and make system is unable to process queries. Hence, we proposed an approach for packet monitoring in Cloud Environment to prevent DDoS attacks. This new approach of Hop Count Filtering and Hierarchical Hop Count Storage Scheme provides a network independent and readily available solution to prevent DoS attack in Cloud environment. Hierarchical Hop Count Storage Scheme is save searching time of hop-count Filtering and helps in preventing DoS Attack in cloud environment. This Scheme increases accessibility and redUces memory requirement for storing hop-count value. Also, this method decreases the unavailability of cloud services to legitimate clients, reduces number of updates and saves computation time. The presented approach is simulated in CloudSim toolkit environment and corresponding results are then produced. |
URI: | http://hdl.handle.net/123456789/2247 |
Other Identifiers: | M.Tech |
Research Supervisor/ Guide: | Kumar, Sateesh |
metadata.dc.type: | M.Tech Dessertation |
Appears in Collections: | MASTERS' THESES (E & C) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
ECDG21997.pdf | 2.65 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.