Title : 
Generalized Maiorana–McFarland Construction of Resilient Boolean Functions With High Nonlinearity and Good Algebraic Properties
         
        
            Author : 
Wei-guo Zhang ; Pasalic, Enes
         
        
            Author_Institution : 
State Key Lab. of Integrated Services Networks, Xidian Univ., Xi´an, China
         
        
        
        
        
        
        
        
            Abstract : 
A new framework concerning the construction of small-order resilient Boolean functions whose nonlinearity is strictly greater than 2n-1 - 2[n/2] is given. First, a generalized Maiorana-McFarland construction technique is described, which extends the current approaches by combining the usage of affine and nonlinear functions in a controllable manner. It is shown that for any given m, this technique can be used to construct a large class of n-variable (n both even and odd) m-resilient degree-optimized Boolean functions with currently best known nonlinearity. This class may also provide functions with excellent algebraic properties, measured through the resistance to (fast) algebraic attacks, if the number of n/2-variable affine subfunctions used in the construction is relatively low. Due to a potentially low hardware implementation cost, along with overall good cryptographic properties, this class of functions is an attractive candidate for the use in certain stream cipher schemes.
         
        
            Keywords : 
Boolean functions; cryptography; nonlinear functions; algebraic property; cryptographic property; generalized Maiorana-McFarland construction technique; m-resilient degree-optimized Boolean function; n-2-variable affine subfunction; nonlinear function; small-order resilient Boolean function; stream cipher scheme; Artificial intelligence; Boolean functions; Ciphers; Resistance; Silicon; Standards; Algebraic degree; Boolean functions; algebraic immunity; fast algebraic attacks; nonlinearity; resiliency; stream ciphers;
         
        
        
            Journal_Title : 
Information Theory, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TIT.2014.2345772