DC Field | Value | Language |
dc.contributor.author | Abeselom Befekadu | - |
dc.date.accessioned | 2019-12-02T13:07:41Z | - |
dc.date.available | 2019-12-02T13:07:41Z | - |
dc.date.issued | 2019-12-02 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/5219 | - |
dc.description.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. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | St. Mary's University | en_US |
dc.subject | Mobile Cloud Computing, Computation Offloading, Intrusion Detection in cloud, Stop offloading, Notify the cloudlet administrator | en_US |
dc.title | Integration of Intrusion Detection System with Mobile Cloud Offloading to Securely Offload Mobile Applications to the Cloudlet | en_US |
dc.type | Article | en_US |
Appears in Collections: | The 10th Multidisciplinary Research Seminar
|