Capacity Enhancement in 60 GHz Based D2D Networks by Relay Selection and Scheduling by Waheed ur Rehman, Tabinda Salam, Jin Xu, Xiaofeng Tao

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Evaluating the Effectiveness of Zero Trust Architecture in Protecting Against Advanced Persistent Threats by Pushpendra Kumar Verma, Bharat Singh, Preety, Shubham Kumar Sharma, Rakesh Prasad Joshi

“…As a paradigm shift in network security, the idea of Zero Trust Architecture has attracted a lot of attention recently. …”
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Using statistical traffic analysis to calculate the confidential means of information transmission by Нух Таха Насіф

“…Honeypot is an activity-based network security system that can be a logical addition to the passive detection policies used by the IDS. …”
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ASD-YOLO: a lightweight network for coffee fruit ripening detection in complex scenarios by Baofeng Ye, Baofeng Ye, Renzheng Xue, Renzheng Xue, Haiqiang Xu, Haiqiang Xu

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Effectiveness Evaluation of Random Forest, Naive Bayes, and Support Vector Machine Models for KDDCUP99 Anomaly Detection Based on K-means Clustering by Zhang Majun

“…K-means clustering technique is applied as a preprocessing step to enhance the overall quality of network intrusion detection and maximize the accuracy of the network security measures. The goal is to identify anomalies with high accuracy. …”
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Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques by Stephanie Ness, Vishwanath Eswarakrishnan, Harish Sridharan, Varun Shinde, Naga Venkata Prasad Janapareddy, Vineet Dhanawat

“…Anomaly detection in network traffic is a critical aspect of network security, particularly in defending against the increasing sophistication of cyber threats. …”
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Identifying and Ranking Security Indicators in Online Social Networks with an MADM Technique by Hamed Fathi, Alireza Amini

“…Then, the relationship between the identified indicators and online social network security was investigated using the Spearman correlation test. …”
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Optimization of Rendering Parameters of Cesium 3DTiles Model Based on Differential Evolution Algorithm by Doujun Zhang, Yong Wu, Youcong Ni, Tinghuang Zhang, Chenxiang Gao

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Detection and diagnosis of unknown threats in power equipment using machine learning and Spark technology by Li Di, Cen Chen, Zhuo Lv, Mingyan Li, Nuannuan Li, Hao Chang

“…This approach allows for more efficient and accurate detection of unknown threat attacks on power grid equipment, providing robust network security for power systems. Our findings offer a new theoretical perspective for the evolving field of network security.…”
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Trust, Security, and Privacy in Next-Generation Wireless Sensor Networks by Muhammad Khurram Khan, Yang Xiang, Shi-Jinn Horng, Hsiao-Hwa Chen

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Model Predictive Control by Baocang Ding, Marcin T. Cychowski, Yugeng Xi, Wenjian Cai, Biao Huang

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A Game Theoretic Model for Wireless Sensor Networks with Hidden-Action Attacks by Yuxin Mao, Ping Zhu, Guiyi Wei

“…In this paper, we propose to apply game theory into solving the network security problem of wireless network. We explore game theory algorithms to model situation for wireless network with malicious nodes and investigate the attack and detection problem by modeling it as pairwise simultaneous game and spatial structured game. …”
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Mathematical Approaches in Advanced Control Theories by Baocang Ding, Lihua Xie, Weihai Zhang, Xianxia Zhang, Qiang Ling, Yugeng Xi

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An automatic test platform to verify the security functions for secure WIA-PA wireless sensor networks by Min Wei, Keecheon Kim

“…Among the several inherent limitations in wireless sensor network, security is a critical concern. The declared security functions of wireless devices should be well verified. …”
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Multi‐objective multiperiod stable environmental economic power dispatch considering probabilistic wind and solar PV generation by Aamir Ali, Sumbal Aslam, Sohrab Mirsaeidi, Noor Hussain Mugheri, Riaz Hussain Memon, Ghulam Abbas, Hammad Alnuman

“…Abstract The economic‐environmental power dispatch (EEPD) problem, a widely studied bi‐objective non‐linear optimization challenge in power systems, traditionally focuses on the economic dispatch of thermal generators without considering network security constraints. However, environmental sustainability necessitates reducing emissions and increasing the penetration of renewable energy sources (RES) into the electrical grid. …”
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Survey on Byzantine attacks and defenses in federated learning by ZHAO Xiaojie, SHI Jinqiao, HUANG Mei, KE Zhenhan, SHEN Liyan

“…Secondly, guided by the classic network security defense model, federated learning defense methods were classified and analyzed from the perspective of defense mechanisms. …”
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CUSUM-Based Intrusion Detection Mechanism for Wireless Sensor Networks by Bishan Ying

“…The nature of wireless sensor networks (WSNs) makes them very vulnerable to adversary's malicious attacks. Therefore, network security is an important issue to WSNs. Due to the constraints of WSN, intrusion detection in WSNs is a challengeable task. …”
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An Energy-Efficient Cyclic Diversionary Routing Strategy against Global Eavesdroppers in Wireless Sensor Networks by Ju Ren, Yaoxue Zhang, Kang Liu

“…While many protocols for sensor network security provide confidentiality for message content, contextual information usually remains exposed, which can be critical to the mission of the sensor network. …”
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Resilient Multipath Routing Mechanism Based on Clustering with Intrusion Tolerance by Shukui Zhang, Hongyan Zuo, Jianxi Fan, Juncheng Jia

“…However, in many special fields, network security is a basic and important factor which we must concern for. …”
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CNID: Research of Network Intrusion Detection Based on Convolutional Neural Network by Guojie Liu, Jianbiao Zhang

“…Network intrusion detection system can effectively detect network attack behaviour, which is very important to network security. In this paper, a multiclassification network intrusion detection model based on convolutional neural network is proposed, and the algorithm is optimized. …”
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