Search Results - (( process detection packet algorithm ) OR ( using optimization method algorithm ))

A COLLABORATIVE FRAMEWORK FOR ANDROID MALWARE IDENTIFICATION USING DYNAMIC ANALYSIS by Thayaaleni, Rajandran

“…The scope of this project focuses on Android Malware detection by using dynamic analysis. The methods to implement this project is through data collection, feature extraction, feature selection, and classification process. …”
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Detection of black hole attacks in mobile ad hoc networks via HSA-CBDS method by Fahad, Ahmed Mohammed, Ahmed, Abdulghani Ali, Alghushami, Abdullah H., Alani, Sammer

“…This paper proposes a solution for detecting black hole attacks on MANET by using harmony search algorithm (DBHSA), which uses harmony search algorithm (HSA) to mitigate the lateness problem caused by cooperative bait detection scheme (CBDS). …”
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Wormhole attack detection mechanism in mobile ad hoc network using neighborhood information and path tracing algorithm by Enshaei, Mehdi

“…In this study, a new defence mechanism is proposed based on modification of the packet forwarding process, using Neighborhood Information (NI) and PT algorithm, and known as NIPT algorithm. …”
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Anomaly behavior detection using flexible packet filtering and support vector machine algorithms by Abdul Wahid, Mohammed N.

“…The main method is related to processing and filtering data packets using different types of packet filtering on network system and, more specifically, capturing and filtering data packets transmitted on high speed communications links for errors and attackers’ detection and signal integrity analysis. …”
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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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CHID : conditional hybrid intrusion detection system for reducing false positives and resource consumption on malicous datasets by Alaidaros, Hashem Mohammed

“…Packet-based detection processes every payload on the wire, which degrades the performance of network intrusion detection system (NIDS). …”
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An integrated anomaly intrusion detection scheme using statistical, hybridized classifiers and signature approach by Mohamed Yassin, Warusia

“…These inaccurate outcomes can compromise the reliability of IDSs and cause them to overlook the attacks. As ADS can process massive volumes of packets, the amount of processing time needed to discover the pattern of the packets is also increased accordingly and resulting in late detection of the attack packets. …”
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Smart and energy aware routing for the internet of mobile things by Beh, Zi Xuan

“…The routing algorithm are developed and coded in Sen Script. In this project, the routing algorithm can perform disqualify node detection and energy aware routing. …”
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Flow-based approach on bro intrusion detection by Alaidaros, Hashem, Mahmuddin, Massudi

“…Packet-based or Deep Packet Inspection (DPI) intrusion detection systems (IDSs) face challenges when coping with high volume of traffic. …”
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Void avoidance opportunistic routing density rank based for underwater sensor networks by Ismail, Nasarudin

“…Finally, the algorithm Void Avoidance Opportunistic Routing Density Rank Based (ORDRB) was developed to deal with the communication void by introducing a simple method to detect a void node and avoid it during the forwarding process. …”
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Intelligent fault diagnosis for broken rotor bar using wavelet packet signature analysis by Zolfaghari, Sahar

“…As an effective signal processing, the time-scale characteristic of wavelet packet transform fused with the frequency resolution of Fast Fourier Transform named as wavelet packet signature analysis. …”
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Anomaly detection in ICS datasets with machine learning algorithms by Mubarak, Sinil, Habaebi, Mohamed Hadi, Islam, Md Rafiqul, Abdul Rahman, Farah Diyana, Tahir, Mohammad

“…The ICS cyber threats are growing at an alarming rate on industrial automation applications. Detection techniques with machine learning algorithms on public datasets, suitable for intrusion detection of cyber-attacks in SCADA systems, as the first line of defense, have been detailed. …”
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SVM driven approach for detecting DoS attacks in SDN environment by Najmun, Nisa, Adnan Shahid, Khan, Azman, Bujang Masli, Nusrat, Shaheen

“…To address this challenge, we propose a novel approach that efficiently detects DoS attacks by implementing a packet inspection process using a queuing mechanism, followed by machine learning classification using SVM and KNN algorithms. …”
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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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Pengoptimuman algoritma pengesanan batu loncatan dalam sistem pengesanan pencerobohan by Omar, Mohd. Nizam

“…The parts are packet capture, identification and comparison. Among these algorithms, the best approach which produces minimum processing time from each main part has been deployed and tested as a complete stepping stone algorithm. …”
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LI-AODV: lifetime improving AODV routing for detecting and removing black-hole attack from VANET by ABDULKADER, ZAID A., Abdullah, Azizol, Abdullah @ Selimun, Mohd Taufik, Ahmad Zukarnain, Zuriati

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Multiuser Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks by Armi, Nasrullah, Yusoff, Mohd Zuki, M Saad, M Naufal

“…CR users perform spectrum sensing and detect primary users (PUs) signal even when they are transmitting data packet. …”
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Multiuser Sensing for Opportunistic Spectrum Access in Cognitive Radio Networks by Armi, Nasrullah, Yusoff, Mohd Zuki, M Saad, M Naufal

“…CR users perform spectrum sensing and detect primary users (PUs) signal even when they are transmitting data packet. …”
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A Review on Soft Computing Technique in Intrusion Detection System by Sulaiman, Noor Suhana, Rohani, Abu Bakar, Norrozila, Sulaiman

“…It detects and identifies intrusion behavior or intrusion attempts in a computer system by monitoring and analyzing the network packets in real time. …”
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Machine Learning Based Two Phase Detection and Mitigation Authentication Scheme for Denial-of-Service Attacks in Software Defined Networks by Najmun, Najmun

“…This scheme incorporates machine learning techniques by utilizing Support Vector Machine (SVM) and K-Nearest Neighbors (KNN) classification algorithms to accurately identify and handle malicious network traffic following the initial packet filtration process that identifies abnormal traffic. …”
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