Results 31 to 40 of about 7,004,502 (187)
Intrusion Detection Algorithm for AMI Based on Improved Online Sequential Extreme Learning Machine [PDF]
Jisuanji gongcheng, 2020 To address the security threats in the communication between computer network and the Advanced Metering Infrastructure(AMI) for smart grid,this paper proposes an improved intrusion detection algorithm for AMI based on DBN-OS-RKELM.This algorithm uses ...
LIU Feifei, WU Zhongdong, DING Longbin, ZHANG Kai
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Big data technology for computer intrusion detection
Open Computer Science, 2023 In order to improve the ability of computer network intrusion detection, the big data technology for computer intrusion detection was studied. This research uses big data technology to build a network intrusion detection model, using clustering ...
Chen Ying
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Research on Wireless Sensor Network Intrusion Detection Technology
MATEC Web of Conferences, 2016 With the development of science and technology, wireless sensor network (WSN) has been widely used in all walks of life. The security problem of WSN has become a research hotspot.
Fan Qing Gang +4 more
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Using CLIPS to Detect Network Intrusions [PDF]
, 2003 This paper shows how to build a network intrusion detection system by slightly modifying NASA’s CLIPS source code, introducing features such as single and multiple string pattern matching, certainty factors and time-stamp operators. Several Snort functions and plugins were adapted and used for packet decoding and preprocessing to provide the basic ...
Alípio, Pedro +2 more
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ICTACT Journal on Communication Technology, 2022 Intrusion detection plays a pivotal aspect in providing security for the information and the main technology lies in identifying different networks in an accurate as well as precise manner.
P Roshni Mol, C Immaculate Mary
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SVM Intrusion Detection Model Based on Compressed Sampling
Journal of Electrical and Computer Engineering, 2016 Intrusion detection needs to deal with a large amount of data; particularly, the technology of network intrusion detection has to detect all of network data.
Shanxiong Chen +3 more
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Advances in Electrical and Computer Engineering, 2023 In recent years, machine learning (ML) has had a significant influence on the discipline of computer security. In network security, intrusion detection systems increasingly employ machine learning techniques.
NATHANIEL, D., SOOSAI, A.
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Towards Intrusion Detection for Encrypted Networks [PDF]
2009 International Conference on Availability, Reliability and Security, 2009 Traditionally, network-based Intrusion Detection Systems (NIDS) monitor network traffic for signs of malicious activities. However, with the growing use of Virtual Private Networks (VPNs) that encrypt network traffic, the NIDS can no longer analyse the encrypted data. This essentially negates any protection offered by the NIDS.
Vik Tor Goh, Jacob Zimmermann, Mark Looi
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Combined Wireless Network Intrusion Detection Model Based on Deep Learning
IEEE Access, 2019 In order to effectively detect wireless network intrusion behavior, a combined wireless network intrusion detection model based on deep learning was proposed. First, a feature database was generated by feature mapping, one-hot encoding, and normalization
Hongyu Yang, Geng Qin, Li Ye
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An intrusion detection algorithm for sensor network based on normalized cut spectral clustering.
PLoS ONE, 2019 Sensor network intrusion detection has attracted extensive attention. However, previous intrusion detection methods face the highly imbalanced attack class distribution problem, and they may not achieve a satisfactory performance.
Gaoming Yang +4 more
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