Reinforcement Learning based Trust framework for MANET Environment
MetadataShow full item record
Mobile Ad-hoc Networks (MANET) are design and implemented without the need for any infrastructure support. The properties of MANET inherently provide greater challenges in areas like security and reliability. This thesis presents three security protocols which were developed for addressing the MANET security needs. A novel trust calculation methodology and intelligent secure route prediction was designed to an existing MANET routing protocol. These protocols will help to implement a trustworthy MANET, providing a dynamic and secure environment.
Showing items related by title, author, creator and subject.
On-Line dynamic security assessment of wind farm connected power systems using a class of intelligent algorithmsTiako, Remy (2012)Recently large-scale wind farms are integrated quite commonly into power systems. The stochastic operation of wind plants due to intermittency and intra-interval effects of the wind is a problematic issue to determine the ...
Radmand, Pedram (2012)This thesis develops an architectural framework to enhance the security of Wireless Sensor Networks (WSNs) and provides the implementation proof through different security countermeasures, which can be used to establish ...
Raymond, B.; Baskerville, Richard (2014)Increasing information security losses, coupled with more closely regulated security risk disclosure, are raising the importance of information security standards for identifying control gaps and for implementing appropriate ...