The landscape for global broadcast standards

Author(s):  
G. Faria
Keyword(s):  
2014 ◽  
Author(s):  
MILSATCOM SYSTEMS WING LOS ANGELES AFB CA
Keyword(s):  

Author(s):  
Abderrahmen Guermazi ◽  
Abdelfettah Belghith ◽  
Mohamed Abid

This article deals with a key distribution protocol to secure routing in large-scale Wireless Sensor Networks (WSNs) and proposes a new protocol called KDSR. The authors' protocol has two originalities: to provide a secure network structure for large-scale WSNs, and to use lightweight local process to share efficiently the Local Broadcast Keys, the Pairwise Keys and the Global Broadcast Key. These keys are useful to secure several communication patterns in WSNs: one-to-many, one-to-one and one-to-all. Security analyses show that KDSR can withstand several attacks against WSNs. Through fast node revocation process, KDSR offers a good resilience against node capture. Immunity against MiM and replay attacks are well checked with the AVISPA tools. The experimentations are done on real TelosB motes and through the TOSSIM simulator. Simulation results confirm that KDSR is scalable, provides a good key connectivity and a good resilience. Comparison to earlier work shows that KDSR causes less computation complexity, less communication overhead and much less storage space even for large-scale WSNs.


1997 ◽  
Author(s):  
Steve Archer ◽  
James Loiselle ◽  
Steve Archer ◽  
James Loiselle

2020 ◽  
Vol 806 ◽  
pp. 363-387
Author(s):  
Mohamad Ahmadi ◽  
Abdolhamid Ghodselahi ◽  
Fabian Kuhn ◽  
Anisur Rahaman Molla

2013 ◽  
Author(s):  
Rodrick Wallace

Previous theoretical work on consciousness and other punctuated global broadcasts associated with attention states has focused on the evolutionary exaptation of the inevitable crosstalk between related sets of unconscious cognitive modules (UCM). This has invoked a groupoid treatment of the equivalence class structure arising from information sources 'dual', in a formal sense, to the UCM, via a standard spontaneous symmetry breaking/lifting methodology abducted from statistical physics, and through an index theorem approach based on an Onsager-like stochastic differential equations model. Surprisingly, similar arguments can be applied to the formally 'fuzzy' generalizations that are likely to better fit actual biological complexities.


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