Title : 
A compressed sensing wire-tap channel
         
        
            Author : 
Reeves, Galen ; Goela, Naveen ; Milosavljevic, Nebojsa ; Gastpar, Michael
         
        
            Author_Institution : 
Dept. of Electr. Eng. & Comput. Sci., Univ. of California, Berkeley, CA, USA
         
        
        
        
        
        
            Abstract : 
A multiplicative Gaussian wire-tap channel inspired by compressed sensing is studied. Lower and upper bounds on the secrecy capacity are derived, and shown to be relatively tight in the large system limit for a large class of compressed sensing matrices. Surprisingly, it is shown that the secrecy capacity of this channel is nearly equal to the capacity without any secrecy constraint provided that the channel of the eavesdropper is strictly worse than the channel of the intended receiver. In other words, the eavesdropper can see almost everything and yet learn almost nothing. This behavior, which contrasts sharply with that of many commonly studied wiretap channels, is made possible by the fact that a small number of linear projections can make a crucial difference in the ability to estimate sparse vectors.
         
        
            Keywords : 
Gaussian channels; matrix algebra; radio receivers; signal reconstruction; compressed sensing matrices; compressed sensing wire-tap channel; eavesdropper; lower bounds; multiplicative Gaussian wire-tap channel; radio receiver; sparse vector estimation; upper bounds; Channel capacity; Compressed sensing; Conferences; Entropy; Upper bound; Vectors;
         
        
        
        
            Conference_Titel : 
Information Theory Workshop (ITW), 2011 IEEE
         
        
            Conference_Location : 
Paraty
         
        
            Print_ISBN : 
978-1-4577-0438-3
         
        
        
            DOI : 
10.1109/ITW.2011.6089562