Search Results - (( attack detection mining algorithm ) OR ( parallel optimization method algorithm ))
Search alternatives:
- parallel optimization »
- detection mining »
- mining algorithm »
- method algorithm »
-
1
A simultaneous spam and phishing attack detection framework for short message service based on text mining approach
Published 2017“…Additionally, the proposed framework also can detect the attack simultaneously using text mining approaches.…”
Get full text
Get full text
Get full text
Thesis -
2
An enhancement of classification technique based on rough set theory for intrusion detection system application
Published 2019“…An Intrusion Detection System (IDS) is capable to detect unauthorized intrusions into computer systems and networks by looking for signatures of known attacks or deviations of normal activity. …”
Get full text
Get full text
Thesis -
3
Improving intrusion detection using genetic algorithm
Published 2013“…A great deal of attention has been recently paid to anomaly detection to accomplish intrusion detection. However, a major problem with this approach is maximizing detection rate and accuracy, as well as minimizing false alarm i.e., inability to correctly discover particular types of attacks. …”
Get full text
Get full text
Get full text
Article -
4
-
5
Improvement anomaly intrusion detection using Fuzzy-ART based on K-means based on SNC Labeling
Published 2011“…Data mining is a well-known artificial intelligence technique to build network intrusion detection systems. …”
Get full text
Get full text
Get full text
Article -
6
An improved hybrid learning approach for better anomaly detection
Published 2011“…Nonetheless, current anomaly detection techniques are unable to detect all types of attacks accurately and correctly. …”
Get full text
Get full text
Thesis -
7
A Recent Research on Malware Detection Using Machine Learning Algorithm: Current Challenges and Future Works
Published 2023“…Barium compounds; Cybersecurity; Data mining; Decision trees; Evolutionary algorithms; K-means clustering; Learning algorithms; Malware; Network security; Sodium compounds; Support vector machines; 'current; Comparatives studies; Cyber security; K-means; Machine learning algorithms; Malware attacks; Malware detection; Metaheuristic; Recent researches; Systematic literature review; Nearest neighbor search…”
Conference Paper -
8
An enhanced classification framework for intrusions detection system using intelligent exoplanet atmospheric retrieval algorithm
Published 2022“…The results show that the proposed intelligent exoplanet atmospheric retrieval (INARA) algorithm has improved accuracy and is able to detect new attack types efficiently.…”
Get full text
Get full text
Get full text
Article -
9
An Efficient IDS Using Hybrid Magnetic Swarm Optimization in WANETs
Published 2018“…Our developed algorithm works in extracting the most relevant features that can assist in accurately detecting the network attacks. …”
Get full text
Get full text
Article -
10
An efficient IDS using hybrid Magnetic swarm optimization in WANETs
Published 2018“…Our developed algorithm works in extracting the most relevant features that can assist in accurately detecting the network attacks. …”
Get full text
Get full text
Get full text
Get full text
Article -
11
Voting algorithms for large scale fault-tolerant systems
Published 2011“…To solve this problem and gain benefits of this algorithm, we employed parallel algorithm technique and by using optimal number of processors, we could propose optimal algorithms known as Parallel Average Voting and Parallel Weighted Average Voting which both have optimal time complexity and less calculation cost. …”
Get full text
Get full text
Thesis -
12
Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi
Published 2019“…Experiments demonstrate and prove that the proposed EBPSO method produces better accuracy mining data and selecting subset of relevant features comparing other algorithms. …”
Get full text
Get full text
Thesis -
13
Topology-aware hypergraph based approach to optimize scheduling of parallel applications onto distributed parallel architectures
Published 2020“…Any optimization algorithm is suitable for only a specific domain of optimization problems. …”
Get full text
Get full text
Thesis -
14
An integrated anomaly intrusion detection scheme using statistical, hybridized classifiers and signature approach
Published 2015“…Detection methods based on statistical and data mining techniques are widely deployed as anomaly-based detection system (ADS). …”
Get full text
Get full text
Thesis -
15
Hybrid of fuzzy clustering neural network over NSL dataset for intrusion detection system
Published 2013“…In recent years, data mining approach for intrusion detection have been advised and used. …”
Get full text
Get full text
Get full text
Article -
16
-
17
Probabilistic ensemble fuzzy ARTMAP optimization using hierarchical parallel genetic algorithms
Published 2015“…This was achieved by mitigating convergence in the genetic algorithms by employing a hierarchical parallel architecture. …”
Get full text
Get full text
Get full text
Article -
18
An enhanced classification framework for intrusions detection system using intelligent exoplanet atmospheric retrieval
Published 2022“…The results show that the proposed intelligent exoplanet atmospheric retrieval (INARA) algorithm has improved accuracy and is able to detect new attack types efficiently.…”
Get full text
Get full text
Get full text
Article -
19
A Cryptojacking Detection System With Product Moment Correlation Coefficient (Pmcc) Heatmap Intelligent
Published 2023“…This study aims to develop a cryptojacking detection system based to the random forest algorithm.…”
Get full text
Get full text
Undergraduates Project Papers -
20
Investigation on the dynamic of computation of semi autonomous evolutionary computation for syntactic optimization of a set of programming codes
Published 2007“…Genetic Algorithm as one of the Evolutionary Computation method improve the execution of parallel programming codes by optimizing the number of processors and the distribution of data. …”
Get full text
Get full text
Research Report
