Partitioning 1-variable Boolean functions for various classification of n-variable Boolean functions

This paper addresses all possible equivalence classes of 1-variable Boolean functions and from these classes using recursion and Cartesian product of sets, 15 different ways of classifications of n-variable Boolean functions are obtained. The properties with regard to the size and the number of classes for these 15 different ways are also elaborated.     

5元饱和最优布尔函数的计数问题

同时达到代数次数上界n-m-1和非线性度上界2^n-1-2^m+1的n元m阶弹性布尔函数(m＞n/2-2)具有3个Walsh谱值:0,±2^m+2这样的函数被称为饱和最优函数(saturated best,简称SB).将利用(32,6)Reed-Muller码陪集重量的分布,从一种全新的构造角度出发,给出n=5的饱和最优函数的个数.     

Power Minimization of FPRM Functions Based on Polarity Conversion

For an n-variable Boolean function,there are 2^n fixed polarity Reed -Muler(FPRM)forms.In this paper,a frame of power dissipation estimation for FPRM functions is presented and the polarity conversion is introduced to minimize the power for FPRM functions.Based on searching the best polarity for low power dissipation,an optimal algorithm is proposed and implemented in C.The algorithm is tested on seven single output functions from MCNC benchmark circuits.The experimenta results are shown in this paper.     

Recognition of interval Boolean functions

Interval functions constitute a special class of Boolean functions for which it is very easy and fast to determine their functional value on a specified input vector. The value of an n-variable interval function specified by interval [a,b] (where a and b are n-bit binary numbers) is true if and only if the input vector viewed as an n-bit number belongs to the interval [a,b]. In this paper we study the problem of deciding whether a given disjunctive normal form represents an interval function and if so then we also want to output the corresponding interval. For general Boolean functions this problem is co-NP-hard. In our article we present a polynomial time algorithm which works for monotone functions. We shall also show that given a Boolean function f belonging to some class which is closed under partial assignment and for which we are able to solve the satisfiability problem in polynomial time, we can also decide whether f is an interval function in polynomial time. We show how to recognize a “renamable” variant of interval functions, i.e., their variable complementation closure. Another studied problem is the problem of finding an interval extension of partially defined Boolean functions. We also study some other properties of interval functions.      

Highly nonlinear balanced Boolean functions with good local and global avalanche characteristics

Here we deal with an interesting subset of n-variable balanced Boolean functions which satisfy strict avalanche criteria. These functions achieve the sum-of-square indicator value (a measure for global avalanche criteria) strictly less than 2²ⁿ⁺¹ and nonlinearity strictly greater than 2ⁿ⁻¹−2^⌊n/2⌋. These parameters are currently best known. Moreover, these functions do not possess any nonzero linear structure. The technique involves a well-known simple construction coupled with very good initial functions obtained by computer search, which were not known earlier.     

Upper bound for algebraic immunity on a subclass of Maiorana McFarland class of bent functions

Studying algebraic immunity of Boolean functions is recently a very important research topic in cryptography. It is recently proved by Courtois and Meier that for any Boolean function of n-variable the maximum algebraic immunity is . We found a large subclass of Maiorana McFarland bent functions on n-variable with a proven low level of algebraic immunity . To the best of our knowledge we provide for the first time a new upper bound for algebraic immunity for a nontrivial class of Boolean functions. We also discuss that this result has some fascinating implications.     

On the equal-weight symmetric Boolean functions

Two important classes of symmetric Boolean functions are the equal-weight Boolean functions and the elementary (or homogeneous) symmetric Boolean functions. In this paper we studied the equal-weight symmetric Boolean functions. First the Walsh spectra of the equal-weight symmetric Boolean functions are given. Second the sufficient and necessary condition on correlation-immunity of the equal-weight symmetric Boolean function is derived and other cryptology properties such as the nonlinearity, balance and propagation criterion are taken into account. In particular, the nonlinearity of the equal-weight symmetric Boolean functions with n (n ≥ 10) variables is determined by their Hamming weight. Considering these properties will be helpful in further investigations of symmetric Boolean functions.     

On the correlation of symmetric functions

Thecorrelation between two Boolean functions ofn inputs is defined as the number of times the functions agree minus the number of times they disagree, all divided by 2 ⁿ . In this paper we compute, in closed form, the correlation between any twosymmetric Boolean functions. As a consequence of our main result, we get that every symmetric Boolean function having an odd period has anexponentially small correlation (inn) with the parity function. This improves a result of Smolensky [12] restricted to symmetric Boolean functions: the correlation between parity and any circuit consisting of a Mod _q gate over AND gates of small fan-in, whereq is odd and the function computed by the sum of the AND gates is symmetric, is bounded by 2^−Ω(n). In addition, we find that for a large class of symmetric functions the correlation with parity isidentically zero for infinitely manyn. We characterize exactly those symmetric Boolean functions having this property. This research was supported in part by NSF Grant CCR-9057486. Jin-Yi Cai was supported in part by an Alfred T. Sloan Fellowship in computer science. The work of F. Green was done in part while visiting Princeton University, while the work of T. Thierauf was done in part while visiting Princeton University and the University of Rochester. The third author was supported in part by DFG Postdoctoral Stipend Th 472/1-1 and by NSF Grant CCR-8957604.     

On affine (non)equivalence of Boolean functions

In this paper we construct a multiset S(f) of a Boolean function f consisting of the weights of the second derivatives of the function f with respect to all distinct two-dimensional subspaces of the domain. We refer to S(f) as the second derivative spectrum of f. The frequency distribution of the weights of these second derivatives is referred to as the weight distribution of the second derivative spectrum. It is demonstrated in this paper that this weight distribution can be used to distinguish affine nonequivalent Boolean functions. Given a Boolean function f on n variables we present an efficient algorithm having O(n2²ⁿ ) time complexity to compute S(f). Using this weight distribution we show that all the 6-variable affine nonequivalent bents can be distinguished. We study the subclass of partial-spreads type bent functions known as PS _ap type bents. Six different weight distributions are obtained from the set of PS _ap bents on 8-variables. Using the second derivative spectrum we show that there exist 6 and 8 variable bent functions which are not affine equivalent to rotation symmetric bent functions. Lastly we prove that no non-quadratic Kasami bent function is affine equivalent to Maiorana–MacFarland type bent functions.     

The complexity of monotone boolean functions

We study the realization of monotone Boolean functions by networks. Our main result is a precise version of the following statement: the complexity of realizing a monotone Boolean function ofn arguments is less by the factor (2/n)^1/2, where is the circular ratio, than the complexity of realizing an arbitrary Boolean function ofn arguments. The proof combines known results concerning monotone Boolean functions with new methods relating the computing abilities of networks and machines.     

The autocorrelation distribution of balanced Boolean function

The global avalanche characteristics (the sum-of-squares indicator and the absolute indicator) measure the overall avalanche characteristics of a cryptographic Boolean function. Sung et al. (1999) gave the lower bound on the sum-of-squares indicator for a balanced Boolean function satisfying the propagation criterion with respect to some vectors. In this paper, if balanced Boolean functions satisfy the propagation criterion with respect to some vectors, we give three necessary and sufficient conditions on the auto-correlation distribution of these functions reaching the minimum the bound on the sum-of-squares indicator. And we also find all Boolean functions with 3-variable, 4-variable, and 5-variable reaching the minimum the bound on the sum-of-squares indicator.     

The Complexity of Boolean Functions in Different Characteristics

Every Boolean function on n variables can be expressed as a unique multivariate polynomial modulo p for every prime p. In this work, we study how the degree of a function in one characteristic affects its complexity in other characteristics. We establish the following general principle: functions with low degree modulo p must have high complexity in every other characteristic q. More precisely, we show the following results about Boolean functions f : {0, 1}ⁿ → {0, 1} which depend on all n variables, and distinct primes p, q:

Malign Distributions for Average Case Circuit Complexity

In contrast to machine models like Turing machines or random access machines, circuits are a static computational model. The internal information flow of a computation is fixed in advance, independent of the actual input. Therefore, size and depth are natural and simple measures for circuits and provide a worst-case analysis. We consider a new model in which an internal gate is evaluated as soon as its result has been determined by a partial assignment of its inputs. This way, a dynamic notion of delay is obtained which gives rise to an average case measure for the time complexity of circuits. In a previous paper we have obtained tight upper and lower bounds for the average case complexity of several basic Boolean functions. This paper examines the asymptotic average case complexity for the set of alln-ary Boolean functions. In contrast to worst case analysis a simple counting argument does not work. We prove that with respect to the uniform probability distribution almost all Boolean functions require at leastn−log n−log log nexpected time. On the other hand, there is a significantly large subset of functions that can be computed with a constant average delay. Finally, for an arbitrary Boolean function we compare its worst case and average case complexity. It is shown that for each function that requires circuit depthd, i.e. of worst-case complexityd, the expected time complexity will be at leastd−log n−log dwith respect to an explicitly defined probability distribution. In addition, a nontrivial upper bound on the complexity of such a distribution will be obtained.     

On the combinational complexity of certain symmetric Boolean functions

A property of the truth table of a symmetric Boolean function is given from which one can infer a lower bound on the minimal number of 2-ary Boolean operations that are necessary to compute the function. For certain functions ofn arguments, lower bounds between roughly 2n and 5n/2 can be obtained. In particular, for eachm 3, a lower bound of 5n/2 –O(1) is established for the function ofn arguments that assumes the value 1 iff the number of arguments equal to 1 is a multiple ofm. Fixingm = 4, this lower bound is the best possible to within an additive constant.     

A new lower bound on the monotone network complexity of Boolean sums

Summary Neciporuk [3], Lamagna/Savage [1] and Tarjan [6] determined the monotone network complexity of a set of Boolean sums if each two sums have at most one variable in common. By this result they could define explicitely a set of n Boolean sums which depend on n variables and whose monotone complexity is of order n ^3/2. In the main theorem of this paper we prove a more general lower bound on the monotone network complexity of Boolean sums. Our lower bound is for many Boolean sums the first nontrivial lower bound. On the other side we can prove that the best lower bound which the main theorem yields is the n ^3/2-bound cited above. For the proof we use the technical trick of assuming that certain functions are given for free.     

Transient states and reverberations

We consider a set ofn Boolean functions in order to describe the next-state equation of a finite state machine with 2 ⁿ states. We define atransient phase and astate reverberation, and consider, in particular,self-dual systems. When the Boolean functions are linearly separable—i. e. realizable by linear threshold elements—we find the relations for realizing a given state reverberation. Finally we prove self duality for systems with no transient states. The research reported in this document has been sponsored by the U.S.A.F. under Constract no. AF 33 (615) 2786.     

关于二阶代数免疫布尔函数的几个结果

关于布尔函数的代数免疫性与弹性、代数次数、非线性度之间的关系的结果至今仍然很少,饱和最优布尔函数在流密码领域具有较高的理论价值,通过计算证明文献[1]中命题8给出的5元最优布尔函数都是2阶代数免疫函数,并在此基础上对这个结果做了进一步推广。     

Free binary decision diagrams for the computation of EAR n

Free binary decision diagrams (FBDDs) are graph-based data structures representing Boolean functions with the constraint (additional to binary decision diagram) that each variable is tested at most once during the computation. The function EAR_n is the following Boolean function defined for n × n Boolean matrices: EAR_n(M) = 1 iff the matrix M contains two equal adjacent rows. We prove that each FBDD computing EAR_n has size at least and we present a construction of such diagrams of size approximately .     

几类旋转对称布尔函数的密码学性质

Sumanta Sarkar等人给出了一类具有最大代数免疫阶的旋转对称布尔函数,但对给出的旋转对称布尔函数仅研究了该函数的非线性度而对其他密码学性质未加以研究.因此,研究了上面给出的旋转对称布尔函数的其他密码学性质:代数次数、线性结构、扩散性、相关免疫性等.研究结果显示,虽然这类布尔函数的代数免疫阶达到最大,但是其他的密码学性质并不好.因此,此类布尔函数并不能直接应用在密码系统中.