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A novel intrusion detection system based on hierarchical clustering and support vector machines
TLDR
This study proposed an SVM-based intrusion detection system, which combines a hierarchical clustering algorithm, a simple feature selection procedure, and the SVM technique. Expand
An efficient job-shop scheduling algorithm based on particle swarm optimization
TLDR
The job-shop scheduling problem has attracted many researchers' attention in the past few decades, and many algorithms based on heuristic algorithms, genetic algorithms, and particle swarm optimization algorithms have been presented to solve it. Expand
An improved SVD-based watermarking technique for copyright protection
TLDR
The drawbacks of SVD-based image watermarking are false positive, robust and transparency. Expand
Performance evaluation of score level fusion in multimodal biometric systems
TLDR
In a multimodal biometric system, the effective fusion method is necessary for combining information from various single modality systems. Expand
A Novel Anti-Collision Algorithm in RFID Systems for Identifying Passive Tags
TLDR
We propose a novel anti-collision algorithm using counters and stack to reduce the probability of collision efficiently and to make it possible to identify multiple passive tags in a timeslot. Expand
Image security system using recursive cellular automata substitution
TLDR
This paper presents a novel image security system based on the replacement of the pixel values using recursive cellular automata (CA) substitution. Expand
A blind reversible method for watermarking relational databases based on a time-stamping protocol
TLDR
We design an authentication protocol based on an efficient time-stamp protocol, and we propose a blind reversible watermarking method that ensures ownership protection in the field of relational database watermark. Expand
An efficient phishing webpage detector
TLDR
In this paper, we present a heuristic method to determine whether a webpage is a legitimate or a phishing page. Expand
Temperature prediction and TAIFEX forecasting based on fuzzy relationships and MTPSO techniques
TLDR
In this paper, we proposed a modified turbulent particle swarm optimization (named MTPSO) method for the temperature prediction and the Taiwan Futures Exchange (TAIFEX) forecasting, based on the two-factor fuzzy time series and particle Swarm optimization. Expand
A hybrid forecasting model for enrollments based on aggregated fuzzy time series and particle swarm optimization
TLDR
In this paper, a new forecasting model based on two computational methods, fuzzy time series and particle swarm optimization, is presented for academic enrollments. Expand
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