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Performance analysis and feature selection for network-based intrusion detection with deep learning 基于深度学习的网络入侵检测性能分析与特征选择
IF 1.1 4区 计算机科学 Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.3906/elk-2104-50
Serhat Caner, N. Erdogmus, Y. M. Erten
An intrusion detection system is an automated monitoring tool that analyzes network traffic and detects malicious activities by looking out either for known patterns of attacks or for an anomaly. In this study, intrusion detection and classification performances of different deep learning based systems are examined. For this purpose, 24 deep neural networks with four different architectures are trained and evaluated on CICIDS2017 dataset. Furthermore, the best performing model is utilized to inspect raw network traffic features and rank them with respect to their contributions to success rates. By selecting features with respect to their ranks, sets of varying size from 3 to 77 are assessed in terms of classification accuracy and time efficiency. The results show that recurrent neural networks with a certain level of complexity can achieve comparable success rates with state-of-the-art systems using a small feature set of size 9; while the average time required to classify a test sample is halved compared to the complete set.
入侵检测系统是一种自动监控工具,通过查找已知的攻击模式或异常情况来分析网络流量并检测恶意活动。在本研究中,研究了不同深度学习系统的入侵检测和分类性能。为此,在CICIDS2017数据集上训练和评估了24个具有四种不同架构的深度神经网络。此外,使用性能最好的模型来检查原始网络流量特征,并根据它们对成功率的贡献对它们进行排名。通过选择相对于其排名的特征,从3到77不等大小的集合在分类精度和时间效率方面进行评估。结果表明,具有一定复杂性的递归神经网络可以与使用大小为9的小特征集的最先进系统取得相当的成功率;而对测试样本进行分类所需的平均时间与全部样本相比减少了一半。
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引用次数: 0
Biometric identification using panoramic dental radiographic images with few-shot learning 利用少镜头学习的全景牙科放射图像进行生物识别
IF 1.1 4区 计算机科学 Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.3906/elk-2108-61
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引用次数: 1
Improving utilization rate of semi-parallel successive cancellation architecture for polar codes using 2-bit decoding 利用2位译码提高半并行连续对消结构的极化码利用率
IF 1.1 4区 计算机科学 Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.3906/elk-2105-175
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引用次数: 0
A signature-based intrusion detection system using a hybrid Decision Table and Naive Bayes 基于决策表和朴素贝叶斯的基于签名的入侵检测系统
IF 1.1 4区 计算机科学 Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.3906/elk-2003-86
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引用次数: 0
IoTSDA: IoT-Edge analytics architecture for anomaly detection of univariate health data IoTSDA:用于单变量健康数据异常检测的IoT-Edge分析架构
IF 1.1 4区 计算机科学 Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.3906/elk-2106-87
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引用次数: 0
Cryptographically strong random number generation using integrated CMOS photodiodes for low-cost microcontroller based applications 基于低成本微控制器应用的集成CMOS光电二极管加密强随机数生成
IF 1.1 4区 计算机科学 Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.3906/elk-2104-67
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引用次数: 0
A novel soft island in integrated distributed generation to improve utility grid safety and stability at different modes of operation 一种新型的软岛式集成分布式发电,可提高电网在不同运行模式下的安全性和稳定性
IF 1.1 4区 计算机科学 Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.3906/elk-2004-161
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引用次数: 0
Design and Aerodynamic Analysis of a VTOL Tilt-Wing UAV 倾翼垂直起降无人机设计与气动分析
IF 1.1 4区 计算机科学 Q3 Computer Science Pub Date : 2021-01-01 DOI: 10.3906/elk-2105-59
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引用次数: 0
An energy-efficient lightweight security protocol for optimal resource provenancein wireless sensor networks 无线传感器网络中最优资源溯源的节能轻量级安全协议
IF 1.1 4区 计算机科学 Q3 Computer Science Pub Date : 2020-11-30 DOI: 10.3906/elk-2003-6
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引用次数: 2
Transmit antenna selection based 3-D constellation design for JM-SM and JM-GSM 基于发射天线选择的JM-SM和JM-GSM三维星座设计
IF 1.1 4区 计算机科学 Q3 Computer Science Pub Date : 2020-01-01 DOI: 10.3906/elk-1905-142
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引用次数: 0
期刊
Turkish Journal of Electrical Engineering and Computer Sciences
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