Search Results - (( java implication based algorithm ) OR ( set detection packet algorithm ))

Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems by Franco, Daniel Jose Da Graca Peceguina

“…Therefore, the first problem to be tackled is the privacy optimization of Modbus/TCP packet fields. In scientific literatures, packet anonymization is performed according to attribute types (numerical, categorical and hierarchical), not taking into consideration the singular characteristics of the Modbus packet fields, using Euclidean distance algorithms that are not capable to deal with binary data and may result in information loss. …”
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An integrated anomaly intrusion detection scheme using statistical, hybridized classifiers and signature approach by Mohamed Yassin, Warusia

“…This study aims to improve the detection of an anomalous behaviour by identifying the outlier data points in the packets more precisely, maximizes the detection of packets with similar behaviours more accurately while reducing the detection time. …”
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Performance study of large block forward error correction with random early detection queue policy by Almomani, Omar, Ghazali, Osman, Hassan, Suhaidi

“…In this paper, we report an investigation on performance of the forward error correction (FEC) with random early detection (RED) queuing policy. FEC is a technique that uses redundant packet to reconstruct the dropped packet, while RED is an active queue management algorithm. …”
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A Machine Learning Classification Approach To Detect Tls-Based Malware Using Entropy-Based Flow Set Features by Keshkeh, Kinan

“…This study also investigates TLSMalDetect detection performance using seven ML classification algorithms and identifies the one with the highest accuracy.…”
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A novel selection of optimal statistical features in the DWPT domain for discrimination of ictal and seizure-free electroencephalography signals by Ong, Pauline, Zainuddin, Zarita, Kee, Huong Lai

“…Properly determining the discriminative features which characterize the inherent behaviors of electroencephalography (EEG) signals remains a great challenge for epileptic seizure detection. In this present study, a novel feature selection scheme based on the discrete wavelet packet decomposition and cuckoo search algorithm (CSA) was proposed. …”
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Malware Classification and Detection using Variations of Machine Learning Algorithm Models by Andi Maslan, Andi Maslan, Abdul Hamid, Abdul Hamid

“…The purpose of the study is to detect, classify malware attacks using a variety of ML Algorithm models such as SVM, KNN and Neural Network and testing detection performance. …”
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A Machine Learning Classification Approach to Detect TLS-based Malware using Entropy-based Flow Set Features by Keshkeh, Kinan, Jantan, Aman, Alieyan, Kamal

“…Due to the complexity of TLS traffic decryption, several anomaly-based detection studies have been conducted to detect TLS-based malware using different features and machine learning (ML) algorithms. …”
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A novel selection of optimal statistical features in the DWPT domain for discrimination of ictal and seizure‑free electroencephalography signals by Ong, Pauline, Zainuddin, Zarita, Kee, Huong Lai

“…Properly determining the discriminative fea-tures which characterize the inherent behaviors of electro-encephalography (EEG) signals remains a great challenge for epileptic seizure detection. In this present study, a novel feature selection scheme based on the discrete wavelet packet decomposition and cuckoo search algorithm (CSA) was proposed. …”
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Detection of black hole nodes in mobile ad hoc network using hybrid trustworthiness and energy consumption techniques by Mustafa, Ahmed Sudad

“…In this thesis, a hybrid detection algorithm mechanism has been proposed which combines two detection algorithms based on nodes’ trustworthiness and energy consumption in a parallel manner in order to detect the black hole nodes. …”
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Metaheuristic-Based Neural Network Training And Feature Selector For Intrusion Detection by Ghanem, Waheed Ali Hussein Mohammed

“…However, the training datasets usually compose feature sets of irrelevant or redundant information, which impacts the performance of classification, and traditional learning algorithms such as backpropagation suffer from known issues, including slow convergence and the trap of local minimum. …”
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Vertical Fast Handoff Technique For Mobile IPv6 in Heterogeneous 4G Networks by Solouk, Vahid

“…Under several simulations, the number of lost packets encountered by VFHO stayed as low as 20 packets when the arrival rate was a maximum of 50 packets per second, and did not exceed 10 packets in the case when packet sizes was at a maximum of 256 Bytes or when buffer size was set to 50 KB. …”
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Adaptive Medium Access Control (ADT-MAC) Protocol for Dynamic Medical Traffic with Quality of Service (QoS) provisioning in Wireless Body Area Network (WBAN) by Wan Hassan, Wan Haszerila

“…Additionally, an M/M/l queuing algorithm with a non-preemptive priority is modeled using SimEvents in MATLAB to validate the packet delay of different priority queues. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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A controller-agnostic random oracle based intrusion detection method in software defined networks / Adnan by Adnan, -

“…We perform a rigorous evaluation of the proposed method by testing using Floodlight and Mininet to emulate SDN setting. We model the solution in the real setting of SDNs using High Level Petri Nets (HLPN), analyze the rules with Z language, and formally verified the correct functioning using Z3 SMT solver. …”
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An enhanced computational model based on social spider optimisation algorithm for EEG- based emotion recognition by Al-Qammaz, Abdullah Yousef Awwad

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Classification of transient disturbance using Wavelet based support vector machine / Fahteem Hamamy Anuwar by Anuwar, Fahteem Hamamy

“…Fast and accurate techniques are required for detecting the disturbances so that proper mitigation of power quality problems can be implemented. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush