Show simple item record

dc.contributor.advisorAwan, Irfan U.
dc.contributor.advisorPagna Disso, Jules F.
dc.contributor.authorAlhomoud, Adeeb M.*
dc.date.accessioned2015-07-08T15:54:50Z
dc.date.available2015-07-08T15:54:50Z
dc.date.issued2015-07-08
dc.identifier.urihttp://hdl.handle.net/10454/7331
dc.description.abstractCybercrime costs a total loss of about $338 billion annually which makes it one of the most profitable criminal activities in the world. Controlled malware (Botnet) is one of the most prominent tools used by cybercriminals to infect, compromise computer networks and steal important information. Infecting a computer is relatively easy nowadays with malware that propagates through social networking in addition to the traditional methods like SPAM messages and email attachments. In fact, more than 1/4 of all computers in the world are infected by malware which makes them viable for botnet use. This thesis proposes, implements and presents the Self-healing framework that takes inspiration from the human immune system. The designed self-healing framework utilises the key characteristics and attributes of the nature’s immune system to reverse botnet infections. It employs its main components to heal the infected nodes. If the healing process was not successful for any reason, it immediately removes the infected node from the Enterprise’s network to a quarantined network to avoid any further botnet propagation and alert the Administrators for human intervention. The designed self-healing framework was tested and validated using different experiments and the results show that it efficiently heals the infected workstations in an Enterprise network.en_US
dc.language.isoenen_US
dc.rights<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.eng
dc.subjectSelf-healing, Malware, Botnets, Cyber attacks, Enterprise networksen_US
dc.titleA self-healing framework to combat cyber attacks. Analysis and development of a self-healing mitigation framework against controlled malware attacks for enterprise networks.en_US
dc.type.qualificationleveldoctoralen_US
dc.publisher.institutionUniversity of Bradfordeng
dc.publisher.departmentDepartment of Electrical Engineering and Computer Science, School of Engineering and Informaticsen_US
dc.typeThesiseng
dc.type.qualificationnamePhDen_US
dc.date.awarded2014
refterms.dateFOA2018-07-25T11:57:11Z


Item file(s)

Thumbnail
Name:
05025518.pdf
Size:
6.533Mb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record