Complexity and Universality of Iterated Finite Automata

2009 ◽  
Vol 18 (1) ◽  
pp. 145-158
Author(s):  
Jiang Zhang ◽  
Keyword(s):  
Finite Automata

A novel cryptosystem based on abstract automata and Latin cubes

2015 ◽  
Vol 52 (2) ◽  
pp. 221-232
Author(s):  
Pál Dömösi ◽  
Géza Horváth
Keyword(s):  
Block Cipher ◽  
Finite Automata ◽  
Theoretical Background ◽  
Point Of View ◽  
Theoretical Point ◽  
Transition Matrices ◽  
Encryption And Decryption ◽  
Secret Keys ◽  
Automata Network ◽  
Fully Functioning

In this paper we introduce a novel block cipher based on the composition of abstract finite automata and Latin cubes. For information encryption and decryption the apparatus uses the same secret keys, which consist of key-automata based on composition of abstract finite automata such that the transition matrices of the component automata form Latin cubes. The aim of the paper is to show the essence of our algorithms not only for specialists working in compositions of abstract automata but also for all researchers interested in cryptosystems. Therefore, automata theoretical background of our results is not emphasized. The introduced cryptosystem is important also from a theoretical point of view, because it is the first fully functioning block cipher based on automata network.

Parallel Combining Different Approaches to Multi-pattern Matching for Fpga-based Security Systems

2017 ◽  
Vol 5 (1) ◽  
pp. 8-15
Author(s):  
Sergii Hilgurt ◽  
Keyword(s):  
Information Security ◽  
Pattern Matching ◽  
Intrusion Detection System ◽  
Detection System ◽  
Finite Automata ◽  
Network Intrusion Detection ◽  
Security Systems ◽  
Analytical Technique ◽  
Network Intrusion ◽  
Pros And Cons

The multi-pattern matching is a fundamental technique found in applications like a network intrusion detection system, anti-virus, anti-worms and other signature- based information security tools. Due to rising traffic rates, increasing number and sophistication of attacks and the collapse of Moore’s law, traditional software solutions can no longer keep up. Therefore, hardware approaches are frequently being used by developers to accelerate pattern matching. Reconfigurable FPGA-based devices, providing the flexibility of software and the near-ASIC performance, have become increasingly popular for this purpose. Hence, increasing the efficiency of reconfigurable information security tools is a scientific issue now. Many different approaches to constructing hardware matching circuits on FPGAs are known. The most widely used of them are based on discrete comparators, hash-functions and finite automata. Each approach possesses its own pros and cons. None of them still became the leading one. In this paper, a method to combine several different approaches to enforce their advantages has been developed. An analytical technique to quickly advance estimate the resource costs of each matching scheme without need to compile FPGA project has been proposed. It allows to apply optimization procedures to near-optimally split the set of pattern between different approaches in acceptable time.

A Generalization of Finite Automata

1987 ◽  
Vol 10 (4) ◽  
pp. 415-435
Author(s):  
Kazimierz Wiśniewski
Keyword(s):  
Finite Automata

Nondeterministic right one-way jumping finite automata

2021 ◽  
pp. 104687
Author(s):  
Simon Beier ◽  
Markus Holzer
Keyword(s):  
Finite Automata

Microprogram/finite automata

1970 ◽  
Vol 1 (3) ◽  
pp. 10-10
Author(s):  
L. V. Matsevityy
Keyword(s):  
Finite Automata

scholarly journals On the Power of Two-Dimensional Synchronized Alternating Finite Automata1

1991 ◽  
Vol 15 (1) ◽  
pp. 90-98
Author(s):  
Juraj Hromkovič ◽  
Katsushi Inoue ◽  
Akira Ito ◽  
Itsuo Takanami
Keyword(s):  
Finite Automata ◽  
Two Dimensional ◽  
Rectangular Array

It is well known that four-way two-dimensional alternating finite automata are more powerful than three-way two-dimensional alternating finite automata, which are more powerful than two-way two-dimensional alternating finite automata. This paper shows that four-way, three-way, and two-way two-dimensional “synchronized” alternating finite automata all have the same power as rectangular array bounded automata.

scholarly journals PATH-EQUIVALENT DEVELOPMENTS IN ACYCLIC WEIGHTED AUTOMATA

2007 ◽  
Vol 18 (04) ◽  
pp. 799-811
Author(s):  
MATHIEU GIRAUD ◽  
PHILLIPE VEBER ◽  
DOMINIQUE LAVENIER
Keyword(s):  
Surface Area ◽  
Finite Automata ◽  
Clock Frequency ◽  
Partial Removal ◽  
Frequency Constraints ◽  
Weighted Automata ◽  
Weighted Finite Automata ◽  
Special Case

Weighted finite automata (WFA) are used with FPGA accelerating hardware to scan large genomic banks. Hardwiring such automata raises surface area and clock frequency constraints, requiring efficient ∊-transitions-removal techniques. In this paper, we present bounds on the number of new transitions for the development of acyclic WFA, which is a special case of the ∊-transitions-removal problem. We introduce a new problem, a partial removal of ∊-transitions while accepting short chains of ∊-transitions.

Remarks on Four-Dimensional Probabilistic Finite Automata

2014 ◽  
Author(s):  
Makoto Sakamoto ◽  
Hiroshi Furutani ◽  
Yasuo Uchida ◽  
Makoto Nagatomo ◽  
Tuo Zhang ◽  
...  
Keyword(s):  
Finite Automata ◽  
Probabilistic Finite Automata

scholarly journals Efficient alternatives to PSI-BLAST

2012 ◽  
Vol 60 (3) ◽  
pp. 495-505
Author(s):  
M. Startek ◽  
S. Lasota ◽  
M. Sykulski ◽  
A. Bułak ◽  
L. Noé ◽  
...  
Keyword(s):  
Amino Acid ◽  
Finite Automata ◽  
Protein Family ◽  
Homology Search ◽  
Amino Acid Residues ◽  
Protein Alignment ◽  
Substitution Model ◽  
Hierarchical Tree ◽  
Context Specific ◽  
Ncbi Blast

Abstract In this paper we present two algorithms that may serve as efficient alternatives to the well-known PSI BLAST tool: SeedBLAST and CTX-PSI Blast. Both may benefit from the knowledge about amino acid composition specific to a given protein family: SeedBLAST uses the advisedly designed seed, while CTX-PSI BLAST extends PSI BLAST with the context-specific substitution model. The seeding technique became central in the theory of sequence alignment. There are several efficient tools applying seeds to DNA homology search, but not to protein homology search. In this paper we fill this gap. We advocate the use of multiple subset seeds derived from a hierarchical tree of amino acid residues. Our method computes, by an evolutionary algorithm, seeds that are specifically designed for a given protein family. The seeds are represented by deterministic finite automata (DFAs) and built into the NCBI-BLAST software. This extended tool, named SeedBLAST, is compared to the original BLAST and PSI-BLAST on several protein families. Our results demonstrate a superiority of SeedBLAST in terms of efficiency, especially in the case of twilight zone hits. The contextual substitution model has been proven to increase sensitivity of protein alignment. In this paper we perform a next step in the contextual alignment program. We announce a contextual version of the PSI-BLAST algorithm, an iterative version of the NCBI-BLAST tool. The experimental evaluation has been performed demonstrating a significantly higher sensitivity compared to the ordinary PSI-BLAST algorithm.

Sign in / Sign up

Export Citation Format

Share Document