Botnet Detection Using Support Vector Machines with Artificial Fish Swarm Algorithm by Kuan-Cheng Lin, Sih-Yang Chen, Jason C. Hung

“…The botnet virus is a major threat to both personal computers and mobile devices; therefore, a method of botnet feature characterization is proposed in this study. …”
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UAP: A System Authentication Protocol for UAV Relay Communication by UAV-Assisted by Chunpeng Liu, Tao Huang, Maode Ma

“…Furthermore, we evaluate the resilience of UAP against multiple security vulnerabilities using the Scyther tool. Finally, we compare our protocol with existing authentication methods in terms of application scenarios, security features, and both computational and communication overhead. …”
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A comprehensive review on the users’ identity privacy for 5G networks by Mamoon M. Saeed, Mohammad Kamrul Hasan, Ahmed J. Obaid, Rashid A. Saeed, Rania A. Mokhtar, Elmustafa Sayed Ali, Md Akhtaruzzaman, Sanaz Amanlou, A. K. M. Zakir Hossain

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High accuracy indoor positioning system using Galois field-based cryptography and hybrid deep learning by Mohammad Mazyad Hazzazi, Prashant Kumar Shukla, Piyush Kumar Shukla, Fahad Alblehai, Sameer Nooh, Mohd Asif Shah

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Enhanced Interactive Interior Spaces for Safe Design in Administrative Office Buildings by Shatha Abd Abd Ali, Faten Abbas Lafta

“…The study resulted in a set of conclusions, including: 1- The interactive interior space is a new type of space capable of accommodating different functions and adapting to the requirements of the era and is mobile and adjustable to provide a comfortable interior environment that responds to the requirements of the era. 2- The interactive design is represented by a set of specific tools that function as a link between the determinants of the interior space and its modern technologies that interact with the user through sensors and computing everywhere to achieve a safe work environment and to provide safety and security requirements within the spaces. …”
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Evaluating Lightweight Transformers With Local Explainability for Android Malware Detection by Fatima Bourebaa, Mohamed Benmohammed

“…Mobile phones have evolved into powerful handheld computers, fostering a vast application ecosystem but also increasing security and privacy risks. …”
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An accurate approach to discriminate android colluded malware from single app malware using permissions intelligence by Roger Yiran Mawoh, Joan Beri Ali Wacka, Franklin Tchakounte, Claude Fachkha, Kolyang

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Improving Face Presentation Attack Detection Through Deformable Convolution and Transfer Learning by Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Shujaat Khan, Young-Woong Ko, Jeong-Gun Lee

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Multidisciplinary Contributions and Research Trends in eHealth Scholarship (2000-2024): Bibliometric Analysis by Lana V Ivanitskaya, Dimitrios Zikos, Elina Erzikova

“…Researchers’ concerns for eHealth data security and privacy, including advanced access control and encryption methods, featured prominently in the maps, along with terminology related to health analytics. …”
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Detecting Obfuscated Malware Infections on Windows Using Ensemble Learning Techniques by Yadigar Imamverdiyev, Elshan Baghirov, John Chukwu Ikechukwu

“…In the internet and smart devices era, malware detection has become crucial for system security. Obfuscated malware poses significant risks to various platforms, including computers, mobile devices, and IoT devices, by evading advanced security solutions. …”
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Blockchain Interoperability for Future Telecoms by Suha Bayraktar, Sezer Gören, Tacha Serif

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Retracted: An Enhanced Hybrid Glowworm Swarm Optimization Algorithm for Traffic-Aware Vehicular Networks by Pratima Upadhyay, Venkatadri Marriboina, Shiv Kumar, Sunil Kumar, Mohd Asif Shah

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Hybrid Deep Learning Framework for Continuous User Authentication Based on Smartphone Sensors by Bandar Alotaibi, Munif Alotaibi

“…Continuous user authentication is critical to mobile device security, addressing vulnerabilities associated with traditional one-time authentication methods. …”
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SUBJECT MATTER EXPERTS’ FEEDBACK ON EXPERIMENTAL PROCEDURES TO MEASURE USER’S JUDGMENT ERRORS IN SOCIAL ENGINEERING ATTACKS by Tommy Pollock, Yair Levy, Wei Li, Ajoy Kumar

“…Distracted users can fail to correctly distinguish the differences between legitimate and malicious emails or search engine results. Mobile phone users can have a more challenging time identifying malicious content due to the smaller screen size and the limited security features in mobile phone applications. …”
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PlantNet: Scalable Convolutional Neural Network for Image-Based Plant Disease Detection by Sinha Anupa, Kumaraswamy Balasubramaniam

“…This performance enables prompt identification and management of plant health issues, contributing to improved crop resilience and food security. Furthermore, the system's scalability makes it suitable for deployment across various agricultural environments, including mobile-based and edge computing applications. …”
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Application of Multiple Deep Learning Architectures for Emotion Classification Based on Facial Expressions by Cheng Qian, João Alexandre Lobo Marques, Auzuir Ripardo de Alexandria, Simon James Fong

“…In contrast, lightweight models such as MobileNet V1 and ShuffleNet V2, while excelling in computational efficiency, faced limitations in accuracy, particularly in challenging emotion categories like “fear” and “disgust”. …”
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Robust Face Recognition Using Deep Learning and Ensemble Classification by Pavani Chitrapu, Mahesh Kumar Morampudi, Hemantha Kumar Kalluri

“…Existing methods often struggle to strike a balance between accuracy, computational efficiency, and robustness. Deep learning has become popular for automatically learning features through convolution layers. …”
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UNION: A Trust Model Distinguishing Intentional and Unintentional Misbehavior in Inter-UAV Communication by Ezedin Barka, Chaker Abdelaziz Kerrache, Nasreddine Lagraa, Abderrahmane Lakas, Carlos T. Calafate, Juan-Carlos Cano

“…Hence, the communications interface used and that computation complexity are additional factors to consider when designing secure protocols for these networks. …”
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Design of Block-Scrambling-Based privacy protection mechanism in healthcare using fusion of transfer learning models with Hippopotamus optimization algorithm by Ghada Moh. Samir Elhessewi, Mohammed Yahya Alzahrani, Mohammad Alamgeer, Abdulbasit A. Darem, Da’ad Albalawneh, Mohammed Alqahtani, Mutasim Al Sadig, Sultan Alanazi

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SoybeanNet: A Lightweight Neural Network for Soybean Pod Detection and Quantification by Nayak Ashu, Raghatate Kapesh Subhash

“…With its streamlined architecture, the model is both precise and computationally efficient, making it suitable for deployment on resource-constrained platforms like drones and mobile devices. …”
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