FFL-IDS: A Fog-Enabled Federated Learning-Based Intrusion Detection System to Counter Jamming and Spoofing Attacks for the Industrial Internet of Things by Tayyab Rehman, Noshina Tariq, Farrukh Aslam Khan, Shafqat Ur Rehman

“…Still, IIoT compels significant cybersecurity threats beyond jamming and spoofing, which could ruin the critical infrastructure. …”
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A deep learning based model for diabetic retinopathy grading by Samia Akhtar, Shabib Aftab, Oualid Ali, Munir Ahmad, Muhammad Adnan Khan, Sagheer Abbas, Taher M. Ghazal

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A Blockchain-Based Privacy Protection Model Under Quality Consideration in Spatial Crowdsourcing Platforms by Amal Albilali, Maysoon Abulkhair, Manal Bayousef, Faisal Albalwy

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SPARQ: Efficient Entanglement Distribution and Routing in Space–Air–Ground Quantum Networks by Mohamed Shaban, Muhammad Ismail, Walid Saad

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Blockchain-Based Piecewise Regressive Kupyna Cryptography for Secure Cloud Services by Selvakumar Shanmugam, Rajesh Natarajan, Gururaj H. L., Francesco Flammini, Badria Sulaiman Alfurhood, Anitha Premkumar

“…Cloud security is the cybersecurity authority dedicated to securing cloud computing systems. …”
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A novel cyber threat intelligence platform for evaluating the risk associated with smart agriculture by Navod Neranjan Thilakarathne, Muhammad Saifullah Abu Bakar, Pg Emeroylariffion Abas, Hayati Yassin

“…In this regard, this research introduces a groundbreaking approach to addressing the cybersecurity concerns associated with smart agriculture–deception technology. …”
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A Novel Two-Stage Deep Learning Model for Network Intrusion Detection: LSTM-AE by Vanlalruata Hnamte, Hong Nhung-Nguyen, Jamal Hussain, Yong Hwa-Kim

“…Numerous intrusion detection datasets are publicly accessible for further analysis by the cybersecurity research community. However, no previous research has examined the performance of the proposed model on a variety of publicly accessible datasets in detail. …”
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The Impact of Digitization on Legal Systems in Developing Countries by Ikhtiyor Djuraev, Azim Baratov, Shokhjakhon Khujayev, Iroda Yakubova, Mokhichekhra Rakhmonova, Bobur Mukumov, Nodirakhon Abdurakhmanova

“…However, persistent challenges, including inadequate digital infrastructure, disparities in digital literacy, and cybersecurity vulnerabilities, underscore the need for coordinated interventions. …”
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Machine Learning-Based Detection of Anomalies, Intrusions, and Threats in Industrial Control Systems by Denis Benka, Dusan Horvath, Lukas Spendla, Gabriel Gaspar, Maximilian Stremy

“…This research highlights the potential of ML techniques to fortify ICS cybersecurity and lays the groundwork for future advancements in critical infrastructure resilience.…”
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An Automatic Approach for the Identification of Offensive Language in Perso-Arabic Urdu Language: Dataset Creation and Evaluation by Salah Ud Din, Shah Khusro, Farman Ali Khan, Munir Ahmad, Oualid Ali, Taher M. Ghazal

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An Observer-Based Event Triggered Mechanism for the Detection and Mitigation of FDI Attacks in Deep Brain Stimulation Systems by Ping Yu, Ding Yang, Khalid A. Alattas, Ardashir Mohammadzadeh, Afef Fekih

“…To the best of our knowledge, this is the first work focusing on the design of defense mechanisms against cybersecurity threats directed toward deep brain stimulation systems. …”
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AI-Based Holistic Framework for Cyber Threat Intelligence Management by Arnolnt Spyros, Ilias Koritsas, Angelos Papoutsis, Panos Panagiotou, Despoina Chatzakou, Dimitrios Kavallieros, Theodora Tsikrika, Stefanos Vrochidis, Ioannis Kompatsiaris

“…Nevertheless, the gathered data usually contain a large amount of content that is irrelevant to CTI or even to cybersecurity. Furthermore, most approaches concerning CTI management (e.g., gathering, analysis) involve simply gathering and storing the information without any enrichment such as classification or correlation. …”
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Micro-Expression Recognition Using Convolutional Variational Attention Transformer (ConVAT) With Multihead Attention Mechanism by Hafiz Khizer Bin Talib, Kaiwei Xu, Yanlong Cao, Yuan Ping Xu, Zhijie Xu, Muhammad Zaman, Adnan Akhunzada

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EPRNG: Effective Pseudo-Random Number Generator on the Internet of Vehicles Using Deep Convolution Generative Adversarial Network by Chenyang Fei, Xiaomei Zhang, Dayu Wang, Haomin Hu, Rong Huang, Zejie Wang

“…Before generating the encryption keys, a random number generator (RNG) plays an important component in cybersecurity. Several deep learning-based RNGs have been deployed to train the initial value and generate pseudo-random numbers. …”
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Analysis of Autonomous Penetration Testing Through Reinforcement Learning and Recommender Systems by Ariadna Claudia Moreno, Aldo Hernandez-Suarez, Gabriel Sanchez-Perez, Linda Karina Toscano-Medina, Hector Perez-Meana, Jose Portillo-Portillo, Jesus Olivares-Mercado, Luis Javier García Villalba

“…Conducting penetration testing (pentesting) in cybersecurity is a crucial turning point for identifying vulnerabilities within the framework of Information Technology (IT), where real malicious offensive behavior is simulated to identify potential weaknesses and strengthen preventive controls. …”
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Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

“…The swift advancement of cyber-physical systems (CPSs) across sectors such as healthcare, transportation, critical infrastructure, and energy enhances the crucial requirement for robust cybersecurity measures to protect these systems from cyberattacks. …”
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The Recent Technologies to Curb the Second-Wave of COVID-19 Pandemic by M. Poongodi, Mohit Malviya, Mounir Hamdi, Hafiz Tayyab Rauf, Seifedine Kadry, Orawit Thinnukool

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Temporal Convolutional Network Approach to Secure Open Charge Point Protocol (OCPP) in Electric Vehicle Charging by Ikram Benfarhat, Vik Tor Goh, Chun Lim Siow, Muhammad Sheraz, Teong Chee Chuah

“…Securing data transactions across computer networks presents significant challenges, particularly concerning data privacy and cybersecurity threats. These issues are particularly critical in electric vehicle charging stations (EVCSs) due to the sensitive data involved, such as data breaches, unauthorized access, and privacy concerns. …”
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ENSURING HUMAN RIGHTS IN THE CONTEXT OF IMPLEMENTATION OF ELECTRONIC VOTING IN UKRAINE: PERSPECTIVES AND RISKS by Liudmyla Gudz

“…However, the successful application requires comprehensive preparation, including software certification, pilot projects, personal data protection, strengthening cybersecurity, and the adoption of a special law on the use of e-voting at various levels and the introduction of e-voting as an alternative method along with traditional voting.…”
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An artificial insurance framework for a hydrogen-based microgrid to detect the advanced cyberattack model by Mahan Fakhrooeian, Ali Basem, Mohammad Mahdi Gholami, Nahal Iliaee, Alireza Mohammadi Amidi, Amin Heydarian Hamzehkanloo, Akbar Karimipouya

“…Albeit microgrids can gain beneficial results in cost and energy schedules once operating in grid-connected mode, such systems are vulnerable to malicious attacks from the viewpoint of cybersecurity. With this in mind, this paper explores a novel advanced attack model named the false transferred data injection (FTDI) attack aiming to manipulatively alter the power flowing from the microgrid to the upstream grid to raise voltage usability probability. …”
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