Deep learning for cyber threat detection in IoT networks: A review by Alyazia Aldhaheri, Fatima Alwahedi, Mohamed Amine Ferrag, Ammar Battah

“…While these innovations offer unprecedented opportunities, they also introduce complex security challenges. Cybersecurity is a pivotal concern for intrusion detection systems (IDS). …”
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Foresight study for addressing megatrends in information and communication technology (ICT) by Anastasios Andronikidis, Amalia Kouskoura, Eleni Kalliontzi, Ioannis Bakouros

“…The study highlights emerging megatrends in the ICT sector, such as AI integration, cybersecurity challenges, and the shift toward 5G, underscoring the need for continuous upskilling to remain competitive in the global market. …”
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An Evaluation of Variational Autoencoder in Credit Card Anomaly Detection by Faleh Alshameri, Ran Xia

“…Anomaly detection is one of the many challenging areas in cybersecurity. The anomaly can occur in many forms, such as fraudulent credit card transactions, network intrusions, and anomalous imageries or documents. …”
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Life Cycle Analysis in the Context of Smart Cities by Berville Charles, Croitoru Cristiana, Bode Florin

“…However, challenges such as the high energy use of ICT infrastructure, electronic waste, construction impacts, data privacy, cybersecurity risks and the digital divide are significant. …”
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Securing Cloud-Based Internet of Things: Challenges and Mitigations by Nivedita Singh, Rajkumar Buyya, Hyoungshick Kim

“…However, these technological strides have introduced new challenges, particularly in cybersecurity. IoT devices, inherently connected to the internet, are susceptible to various forms of attacks. …”
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Industry 4.0 and healthcare: Context, applications, benefits and challenges by Konstantinos Kotzias, Faiza A. Bukhsh, Jeewanie Jayasinghe Arachchige, Maya Daneva, Abhishta Abhishta

“…Next, our results show: (i) nine applications of Industry 4.0 in the Healthcare domain: Augmented Reality and Simulation, Autonomous Robotics, Cybersecurity, Big Data Analytics, Internet of Things, Cloud Computing, Additive Manufacturing and Systems Integration; and (ii) 10 benefits and nine challenges in Healthcare 4.0. …”
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Advanced Malware Detection: Integrating Convolutional Neural Networks with LSTM RNNs for Enhanced Security by Balsam Ridha Habeeb Alsaedi

“… Malware, or malicious software, is a serious threat to people, businesses, and the cybersecurity environment as a whole. Its purpose is to disrupt, damage, or obtain unauthorized access to computer systems. …”
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Federated Learning in Data Privacy and Security by Dokuru Trisha Reddy, Haripriya Nandigam, Sai Charan Indla, S. P. Raja

“…The biggest concern in federated learning is data privacy and cybersecurity. There are many algorithms that federated models have to work on to achieve greater efficiency, security, quality and effective learning. …”
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AI-based model for securing cognitive IoT devices in advance communication systems by Akshat Gaurav, Varsha Arya, Kwok Tai Chui, Brij B. Gupta

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Power Quality Assessment and Optimization in FUZZY-Driven Healthcare Devices by Dinesh Kumar Nishad, Saifullah Khalid, Rashmi Singh

“…Key challenges, including data quality concerns, cybersecurity risks, and integration with legacy infrastructure, are discussed. …”
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ResInceptNet-SA: A Network Traffic Intrusion Detection Model Fusing Feature Selection and Balanced Datasets by Guorui Liu, Tianlin Zhang, Hualin Dai, Xinyang Cheng, Daoxuan Yang

“…Network intrusion detection models are vital techniques for ensuring cybersecurity. However, existing models face several challenges, such as insufficient feature extraction capabilities, dataset imbalance, and suboptimal detection accuracy. …”
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Big data analytics and AI as success factors for online video streaming platforms by Muhammad Arshad, Muhammad Arshad, Choo Wou Onn, Ashfaq Ahmad, Goabaone Mogwe, Goabaone Mogwe

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Digitization and Preservation of Academic Records: A case Study of Kabale University Registry. by Ainanani, Catherine

“…The study also identified several threats to these records, such as inadequate data security measures, insufficient storage space, cybersecurity threats, poor maintenance of digitization equipment, technological obsolescence, and potential disasters. …”
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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

“…These connected devices pose a challenge to cybersecurity systems due attacks in network communications. …”
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A New Approach to Estimate Concentration Levels with Filtered Neural Nets for Online Learning by Woodo Lee, Junhyoung Oh, Jaekwoun Shim

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Java deserialization vulnerability defense technologybased on run-time detection by LI Yulin, CHEN Libo, LIU Yujiang, DU Wenlong, XUE Zhi

“…The discovery of deserialization vulnerabilities has garnered significant attention from cybersecurity researchers, with an increasing number of vulnerabilities being uncovered, posing severe threats to enterprise network security. …”
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A Verifiable Discrete Trust Model (VDTM) Using Congruent Federated Learning (CFL) for Social Internet of Vehicles by Mohammed Mujib Alshahrani

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Leveraging Social Engineering Techniques for Ethical Purposes:  An Approach to Develop Fake Android App for Collecting Valuable Data Discreetly by Hussein Abdulkhaleq Saleh alsharya

“…However, these techniques can also be utilized ethically, as many cybersecurity professionals do, particularly when evaluating vulnerabilities and testing security defenses. …”
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Understanding the relationship, trends, and integration challenges between lean manufacturing and industry 4.0. A literature review by Tariq Benslimane, Rajaa Benabbou, Salma Mouatassim, Jamal Benhra

“…Challenges include the need for a cultural transformation to align Lean’s simplicity with  Industry  4.0’s  complexity,  resolve  compatibility  issues  between  legacy  systems  and  new  technologies,  enhance  data  management  and  cybersecurity,  address  skill  deficiencies  through  staff  training,  and  ensure supplier and partner alignment. …”
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An Ultrasound Prototype for Remote Hand Movement Sensing: The Finger Tapping Case by Stefano Franceschini, Maria Maddalena Autorino, Michele Ambrosanio, Vito Pascazio, Fabio Baselice

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