Secured by Fluctuating Topology Using the Fluctuating Topology of MANETs to Secure Key Exchange

vanets, iot, and many other acronyms represent exciting new technologies that build upon pervasive computation and communications to achieve their goal. As an underlying communication model, the (mobile) ad hoc network (manet) paradigm is used, which implements a peer-to-peer communication model rather than the more traditional infrastructure model. Of course, privacy, confidentiality, integrity, and security related issues are of utter importance in such contexts as well. In this paper, we wish to present a key exchange technique, which builds upon the inherent characteristic of manets: their fluctuating topology. By splitting key exchange information into multiple parts and spraying them over space or time, the ever-changing topology of the network almost completely removes an active attacker’s success ratio. Algorithms are then simulated, and the results presented and discussed. We further point to future directions and uses for this research.

Dynamic Ambient Networks with Middleware

Ambient Intelligence is the concept that technology will become a part of everyday living and assist users in multiple tasks. It is a combination and further development of ubiquitous computation, pervasive computation, and multimedia.The technology is sensitive to the actions of humans and it can interact with the human or adjust the surroundings to suit the needs of the users dynamically. All of this is made possible by embedding sensors and computing components inconspicuously into human surroundings. This paper discusses the middleware needed for dynamic ambient intelligence networks and the ambient intelligence network architecture. The bottom-up middleware approach for ambient intelligence is important so the lower layers of all ambient intelligence networks are interchangeable and compatible with other ambient intelligence components. This approach also allows components to be programmed to be compatible with multiple ambient intelligence networks. The network architecture discussed in this paper allows for dynamic networking capabilities for minimal interruptions with changes in computer components.