A new feature selection model based on ID3 and bees algorithm for intrusion detection system

Eesa, Adel Sabry; Orman, Zeynep; Brifcani, Adnan Mohsin Abdulazeez

doi:10.3906/elk-1302-53

Cited by 42 publications

(18 citation statements)

References 11 publications

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“…Not only comparing the performance of the proposed methods, but also investigating whether feature selection may further improve the results. In detail, the features chosen by our proposed method are 3,6,9,10,11,13,18,19,21,22,23,26,27,29,30,32,35,36,38, and 39, a total of 20 features. And the optimal parameters of SVM, C and γ obtained from our experiment, are (219, 28).…”

Section: Resultsmentioning

confidence: 99%

“…Compared with other classical swarm intelligence optimization algorithms, such as GA and PSO, ABC is superior to them in global optimization ability, convergence, and simple parameters. It is suitable for solving multivariable function optimization and combinatorial optimization problems, such as to find the feature subset of intrusion detection data [21]. However, there are similar shortcomings for ABC no less than other swarm intelligence optimization algorithms, for instance, they are easy to fall into the trap of a local optimum.…”

Section: Algorithm 2: Abc Abc Was Originally Proposed Bymentioning

confidence: 99%

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Intrusion detection system based on improved abc algorithm with tabu search

Chen

Chang

et al. 2019

IEEJ Transactions Elec Engng

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An intrusion detection system (IDS) plays an important role in cyber security to detect network attacks. To improve the effectiveness of IDS, a new intrusion detection approach based on the support vector machine and improved Artificial Bee Colony algorithm (ABC) with Tabu Search (TS) is proposed. In the new method, to solve the problem of redundant network data and insufficient model parameters, a synchronous optimization strategy for feature selection and parameter calculation is proposed. At the same time, the idea of TS is a substitute for the greedy selection property of ABC, and two different selection probability formulas are provided in the early and later evolution of the ABC algorithm. The experimental results show that the newly proposed method performs better than other existing methods, especially in terms of detection accuracy and false negative rate. Besides, the detection rate of Probe attack and DoS attack reached 99.987 and 99.687%, respectively.

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Section: Resultsmentioning

confidence: 99%

Section: Algorithm 2: Abc Abc Was Originally Proposed Bymentioning

confidence: 99%

Intrusion detection system based on improved abc algorithm with tabu search

Chen

Chang

et al. 2019

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

show abstract

“…Higher values of DR * and AR * and lower values of FAR * Searching the most efficient possible location [12] Multiple fuzzy logic controllers…”

Section: Intrusion Detection Systemmentioning

confidence: 99%

Improving Intelligence and Efficiency of Salt Lake Production by Applying a Decision Support System Based on IOT for Brine Pump Management

Cui

Zhang

et al. 2018

Electronics

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At present, due to their geographical distribution, environmental conditions and traditional monitoring technologies, the manual inspection of brine pumps in Qinghai Saline Lake can not be effectively carried out in real time, so the pumps have a high failure rate. This has seriously affected the chemical production of this saline lake. The paper designed a remote real-time monitoring terminal and a decision support system based on LoRa technology, GPRS (General Packet Radio Services) remote communication technology and remote-control technology. The system integrated the liquid-level sensing model and the decision support model for brine pump management. The system monitored and analyzed the voltage, current, and liquid-level parameters in real time to determine the operating status or failure of the brine pump. The ID3 (Iterative Dichotomiser 3) method was used to establish the correlation models between the dynamic monitoring information and the brine pump failure, which is the core of the decision support model. The remote controller was implemented to display and control the running status of the brine pumps when the maintenance personnel received the warning information. PHP (Hypertext Preprocessor) language and a MySQL database were implemented to realize the data display, management and decision support system.

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“…Because of its speed and reliability, decision trees are popular classification tool [25]. DTs are used to build classification rules in the form of top down Decision Tree [26]. Where the leafs contains class names and non-leafs are decision nodes [26].…”

Section:  Id3mentioning

confidence: 99%

Features Optimization for ECG Signals Classification

Ahmad¹,

Matti²,

Essa³

et al. 2018

ijacsa

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A new method is used in this work to classify ECG beats. The new method is about using an optimization algorithm for selecting the features of each beat then classify them. For each beat, twenty-four higher order statistical features and three timing interval features are obtained. Five types of beat classes are used for classification in this work, atrial premature contractions (APC), normal (NOR), premature ventricular contractions (PVC), left bundle branch (LBBB) and right bundle branch (RBBB). Cuttlefish algorithm is used for feature selection which is a new bio-inspired optimization algorithm. Four classifiers are used within CFA, Scaled Conjugate Gradient Artificial Neural Network (SCG-ANN), K-Nearest Neighborhood (KNN), Interactive Dichotomizer 3 (ID3) and Support Vector Machine (SVM). The final results show an accuracy of 97.96% for ANN, 95.71% for KNN, 94.69% for ID3 and 93.06% for SVM, these results were tested on fourteen signal records from MIT-HIH database, where 1400 beats were extracted from these records.

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A new feature selection model based on ID3 and bees algorithm for intrusion detection system

Cited by 42 publications

References 11 publications

Intrusion detection system based on improved abc algorithm with tabu search

Intrusion detection system based on improved abc algorithm with tabu search

Improving Intelligence and Efficiency of Salt Lake Production by Applying a Decision Support System Based on IOT for Brine Pump Management

Features Optimization for ECG Signals Classification

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