Functional verification of signature detection architectures for high speed network applications

Arun, M.; Krishnan, A.

doi:10.1007/s11633-012-0660-2

Cited by 15 publications

(4 citation statements)

References 15 publications

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“…In future, ALG reversible gate will be validated as a basic building logic of a reversible logic circuit. Due to its technology limitations, presently, traditional computing evolves by improving the parallelism [33] [34]. In future, certain emerging computing like optical, quantum, bio- Table 2 Validation of ALG reversible gate inspired computing will adopt reversible logic.…”

Section: Resultsmentioning

confidence: 99%

Reversible Arithmetic Logic Gate (ALG) for Quantum Computation

Arun

Saravanan²

2013

IJIES

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At present, Boolean algebra based computations by the use of silicon based semiconductor technology are irreversible in nature. This is due to the mismatch of number of inputs and outputs. Reversible logic circuit maps unique input to the output and ensure one to one mapping and basis for emerging applications like low-power design, quantum computation, optical computing, bioinformatics and nanotechnologies. In computing paradigm, Arithmetic Logic Unit (ALU) is one of the computing intensive building blocks of the computer that performs arithmetic and logical operations. This work understands and nurtures the necessity of reversible ALU for future revolutionary computing technologies. In this paper, a 4x4 reversible gate which alone performs arithmetic and logic operations is proposed and compared with other reversible gates like TSG, HNG and MKG, in terms of quantum cost, I/O lines and Taffoli gates. The results of different synthesis methods of 4x4 ALG using Revkit tool are studied. Proposed gate performs better than existing methods and ensures maximum logical operations like full adder, full subtractor and all logical operations with less hardware cost where other existing gates are not viable.

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Section: Resultsmentioning

confidence: 99%

Reversible Arithmetic Logic Gate (ALG) for Quantum Computation

Arun

Saravanan²

2013

IJIES

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“…However, this algorithm is only suitable for finding the small character sets pattern string in large character set text string． 6. Other Research Directions [15][16][17][18][19][20] In addition, some researchers improve the NIDS by adapting different methods. For instance, Sravani.K [15] proposed the use of a classification algorithm for network traffic data classification.…”

Section: Background and Problem Statementsmentioning

confidence: 99%

“…For instance, Sravani.K [15] proposed the use of a classification algorithm for network traffic data classification. M.Arun [16] discussed the signature detection technique (SDT) used in NIDS, whose approach involves a unique combination of algorithmic and architectural techniques that outperform some of the previous techniques in terms of performance, speed and power-efficiency. Zhicai Shi [20] proposed a simple and fast discretization algorithm based on information loss by fusing Rough Set theory with Entropy theory.…”

Section: Background and Problem Statementsmentioning

confidence: 99%

Optimization of Dynamic Programming to the Multimedia Packets Processing Method for Network Intrusion Detection System

Zhao¹,

Jin²,

Stinnett³

2015

IJSIA

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“…For example, Songtan [8] presents an improved multi-pattern matching algorithm which is based on deterministic finite-state automaton. However, this algorithm is only suitable for finding the small character sets pattern string in large character set text string． 5) Rule list [13][14][15][16] As Samaneh Rastegari [13] indicated, because the tree structure of rule list is simple, there exist problems of oversize RTN rule list and overlength average match length in the rule list of NIDS. This fact will result in increased resource consumption and overload at NIDS.…”

Section: Introductionmentioning

confidence: 99%