Evaluating ORB and SIFT With Neural Network as Alternatives to CNN for Traffic Classification in SDN Environments by Hicham Yzzogh, Hafssa Benaboud

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DeepSpoofNet: a framework for securing UAVs against GPS spoofing attacks by Aziz Ur Rehman Badar, Danish Mahmood, Adeel Iqbal, Sung Won Kim, Sedat Akleylek, Korhan Cengiz, Ali Nauman

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An intelligent IDS using bagging based fuzzy CNN for secured communication in vehicular networks by M. Anand, S. Muthurajkumar

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Pre-authentication and group management based secure handover for space-earth integration network by Jia-nan HONG, Shao-hua LI, Kai-ping XUE, Pei-lin HONG

“…In space-earth integration network,high-speed movement of space nodes brings in the problem of fre-quent satellite access router (SAR) handover.A group-based secure handover scheme for multiple mobility nodes (MN) utilizing satellite trajectory prediction was proposed.By using the movement features of the corresponding entities,an efficient aggregation mechanism for the interaction message occurred during the multi-MN handover was put forward.By using predictable satellite trajectory,authentication and session key agreement between new SAR and MN was accomplished beforehand with the secure context.Compared with existing schemes,the proposed scheme can provide necessary security features,lower the handover delay,and reduce the computation and commu-nication overhead of mutual authentication and key agreement.The proposed scheme well suits the space-earth inte-gration network,where the satellite node is energy constraint.…”
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qTrustNet Virtual Private Network (VPN): Enhancing Security in the Quantum Era by Hyoungsub Shim, Bongho Kang, Haejung Im, Duhyun Jeon, Seok-Min Kim

“…This innovative combination of WireGuard protocol, PQC algorithms, and PUF technology creates a VPN system with significantly improved security features. To validate its effectiveness, the performance of the proposed qTrustNet VPN was rigorously evaluated in a 10GbE NIC network environment. …”
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Analysis of software defined security model and architecture by Chunmei GUO, Jun MA, Hao GUO, Xueyao BI, Ruhui ZHANG, Shaomin ZHU, Congyi YANG

“…Currently,most enterprises have deployed information security defense system based on policy access control.With cloud computing environment deployment and network attacking technology development,security has been regarded as one of the greatest problems in the cloud computing environment.The advanced persistent attacks including of bypassing the traditional firewall easily,breaking through the black and white list and feature matching of the security defense mechanism have included to the traditional security system new challenges.The problem in the traditional tightly coupled security defense system of combining the virtual with the true for construction of network environments was described,and a software defined security model and framework was provided.The decoupling scheme of access patterns and deployment position in combining the virtual with the true for construction of network environments was realized,which provided a beneficial exploration in the field of the adaptive active safety for enterprise cloud computing environment.…”
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AI-Driven Adaptive Security for Sensor Networks: Next-Generation Firewalls for Attack Detection by Niranjan W. Meegammana, Harinda Fernando

“…Traditional static firewalls and computationally intensive deep learning models are impractical for securing such networks. …”
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Securing Industrial IoT Environments: A Fuzzy Graph Attention Network for Robust Intrusion Detection by Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa

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MFI-Net: multi-level feature invertible network image concealment technique by Dapeng Cheng, Minghui Zhu, Bo Yang, Xiaolian Gao, Wanting Jing, Yanyan Mao, Feng Zhao

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An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments by Mimouna Abdullah Alkhonaini

“…This paper presents a Fox Optimizer-Based Feature Selection with Deep Learning for Securing Cyberattack Detection (FOFSDL-SCD) model. …”
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Analysis of security and privacy challenges of smart health and sensing systems by Vimal Bibhu, Anand Kumar Shukla, Basu Dev Shivahare, Jatinder Kaur, Mohd Shukri, Ab Yajid Johar MGM, Ayham Sameer Faaq, Mohammed Kareem AlShujairi, Shatrudhan Pandey

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Predicting drug-target interactions using machine learning with improved data balancing and feature engineering by Md. Alamin Talukder, Mohsin Kazi, Ammar Alazab

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Advancing Artificial Intelligence of Things Security: Integrating Feature Selection and Deep Learning for Real-Time Intrusion Detection by Faisal Albalwy, Muhannad Almohaimeed

“…An effective IDS is crucial as evolving threats continue to expose new security vulnerabilities. This study proposes an integrated approach combining feature selection methods and principal component analysis (PCA) with advanced deep learning (DL) models for real-time intrusion detection, significantly improving both computational efficiency and accuracy compared to previous methods. …”
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Enhanced Grey Wolf Optimization (EGWO) and random forest based mechanism for intrusion detection in IoT networks by Saad Said Alqahtany, Asadullah Shaikh, Ali Alqazzaz

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A Hybrid Deep Learning Paradigm for Robust Feature Extraction and Classification for Cataracts by Akshay Bhuvaneswari Ramakrishnan, Mukunth Madavan, R. Manikandan, Amir H. Gandomi

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Detecting Unbalanced Network Traffic Intrusions With Deep Learning by S. Pavithra, K. Venkata Vikas

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Enhancing Security in DNP3 Communication for Smart Grids: A Segmented Neural Network Approach by Shahid Allah Bakhsh, Muhammad Shahbaz Khan, Oumaima Saidani, Nada Alasbali, S. Qasim Abbas, Muhammad Almas Khan, Jawad Ahmad

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Ensemble Learning for Network Intrusion Detection Based on Correlation and Embedded Feature Selection Techniques by Ghalia Nassreddine, Mohamad Nassereddine, Obada Al-Khatib

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Secure healthcare data sharing and attack detection framework using radial basis neural network by Abhishek Kumar, Priya Batta, Pramod Singh Rathore, Sachin Ahuja

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A PEFKS- and CP-ABE-Based Distributed Security Scheme in Interest-Centric Opportunistic Networks by Fei Wang, YongJun Xu, Lin Wu, Longyijia Li, Dan Liu, Liehuang Zhu

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