of the spectrum by legacy sys-tems. Cognitive radio exhibits a tremendous promise for increasing the spectral efficiency for future wireless systems. Ideally, new secondary users would have a perfect panorama of the spectrum usage, and would opportunistically communicate over the available re-sources without

combination of formal and informal techniques in an attempt to ensure the correctness of its implementation. Our development process involved three concun'ent activities: (1) the initial construction and incremental enhancement of a formal state model of the protocol machine; (2) tile initial coding

personal information can be linked to its data subject. In this paper, we propose a general formal method to analyze privacy of communication protocols for IdM. To express privacy, we represent knowledge of personal information in a three-layer model. We show how to deduce knowledge from observed messages

experiments on a 139-node testbed, that characterizing packet receptions and losses as a sequence of independent and identically distributed (i.i.d.) Bernoulli trials—a common assumption in protocol modeling but often illegitimate for LT—is largely valid for ST. We then show how this finding simplifies

Abstract. We provide a formal model and a security analysis of the Private Billing Protocol. This formal analysis allowed us to spell out precisely the details of the protocol, the security assumptions as well as the expected security goals. For the formal analysis we used SATMC, a model checker

attacks. Sensors or sensor embedded things may establish direct communication between each other using 6LoWPAN protocol. A trust and reputation model is recognized as an important approach to defend a large distributed sensor networks in IoT/CPS against malicious node attacks, since trust establishment

radio channel periodically. Consequently, communications will not suffer from the same interference each time; instead, it should be fairer and more stable. This thesis investigates the aforementioned problem in the field of low power wireless sensor networks and Internet of Things where Contiki OS

by ISO. The objective is to detect different types of logic errors, before implementation phase, such as deadlock, unspecified reception and boundedness. To specify and verify XTP protocol, we use two formal models, the communicating finite state machine (C.F.S.M) to describe the behaviour of11we

Abstract—Application specific interaction models will be required to support efficient communications between distributed applica-tions with disparate network requirements within the Internet of Things. This paper shows that intelligently selected transport protocols are able to provide increased

April 29, 2011Für UnsShe had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it Lewis CarrollThe following document, written under the supervision of Dr. reviewed by: