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st. Mary's University Institutional Repository St. Mary's University Institutional Repository

Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/5219
Title: Integration of Intrusion Detection System with Mobile Cloud Offloading to Securely Offload Mobile Applications to the Cloudlet
Authors: Abeselom Befekadu
Keywords: Mobile Cloud Computing, Computation Offloading, Intrusion Detection in cloud, Stop offloading, Notify the cloudlet administrator
Issue Date: 2-Dec-2019
Publisher: St. Mary's University
Abstract: Nowadays mobile device has become a useful tool to compute the day to day activities of human being. However, this tool lacks the resources to handle the increasing need for computing intensive tasks. To overcome those limitations, the computation offloading mechanism has been widely considered. Security measures using encryption, user authentication, password, firewall and digital certificates are not enough to secure the data during transmission and the code itself. To reduce the risks behind mobile application offloading, this research proposes an integrated intrusion detection system with mobile application offloading to securely offload mobile computation to the cloudlet. The system denies the service request of the mobile device during intrusion. This means the system stops the offloading process immediately at the time of attack. This process secures the client‟s data from being accessed by unauthorized intruder. Moreover, the system will generate report to the cloudlet administrator about why the service request of the client is denied. After removing the intruder from the network the services will start immediately.
URI: http://hdl.handle.net/123456789/5219
Appears in Collections:The 10th Multidisciplinary Research Seminar

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