Improving IoT Network Longevity with Attack Repellent Energy (SARE) Algorithm for Energy-Efficient and Secure Routing by Indra Pandian, Shanthi Thirugnasambantham, Karthikeyan Balasubramaniam, Kirubaburi Ravichandran

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METHODS AND MEANS OF MONITORING CASES OF PENETRATION OF SMALL UNMANNED AERIAL VEHICLES BY TERRORIST AND SABOTAGE GROUPS by A.I. Godunov, M.V. Erofeev, A.G. Izbasov, A.M. Mukhambetov, N.K. Yurkov

Aerodynamic analysis of wind turbine blades: A numerical study by İlker Yılmaz, Ayşegül Avci, Ekin Aköz Arslankaya

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A Trust-By-Learning Framework for Secure 6G Wireless Networks Under Native Generative AI Attacks by Md Shirajum Munir, Sravanthi Proddatoori, Manjushree Muralidhara, Trinidad Mario Dena, Walid Saad, Zhu Han, Sachin Shetty

“…The proposed TBL framework primarily consists of three components: 1) a native GenAI mechanism that can penetrate intelligent poisoning attacks in wireless networks’ metrics and parameters; 2) a Dempster-Shafer-based evidence theoretic mechanism that is developed to understand the root cause of inherently uncertainty of those attacks to quantify the trust for further mitigation; and 3) a meta-reinforcement-based Markov Decision Process learning framework that can mitigate the intelligent attacks by enforcing trustworthy service aggregation. …”
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Knowledge of Stroke Risk Factors and Warning Signs in Patients with Recurrent Stroke or Recurrent Transient Ischaemic Attack in Thailand by Jittima Saengsuwan, Pathitta Suangpho, Somsak Tiamkao

“…It is not known whether patients who are most at risk of stroke (recurrent stroke or recurrent transient ischaemic attack) have enough knowledge of stroke risk factors and warning signs. …”
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An Efficient Mutual Authentication and Fractional Lyrebird Optimization With Deep Learning–Based SIP-Based DRDoS Attack Detection by V. Sreenivasulu, C. V. Ravikumar

“…In this article, a deep learning model fractional lyrebird optimization algorithm–deep stack autoencoder (FLOA-DSA) is developed for the detection of SIP-based distributed reflection denial-of-service (DRDoS) attacks in SIP network. Here, the authentication process is carried out under different phases based on various mathematical model functionalities. …”
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Plasma inflammatory cytokines are associated with cognitive impairment after acute minor ischemic stroke and transient ischemic attack by PanPan Zhao, Meng Zhao, GuiMei Zhang, WeiJie Zhai, YongChun Wang, YanXin Shen, Li Sun

“…The purpose of our study was to explore the possible relationship between peripheral blood inflammatory biomarkers and PSCI.MethodsThis prospective observational cohort study included patients with mild ischemic stroke and transient ischemic attack (TIA) who were hospitalized at the First Hospital of Jilin University between April 2019 and March 2022. …”
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Secure Fusion with Labeled Multi-Bernoulli Filter for Multisensor Multitarget Tracking Against False Data Injection Attacks by Yihua Yu, Yuan Liang

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Network attack detection and visual payload labeling technology based on Seq2Seq architecture with attention mechanism by Fan Shi, Pengcheng Zhu, Xiangyu Zhou, Bintao Yuan, Yong Fang

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The data recovery strategy on machine learning against false data injection attacks in power cyber physical systems by Qinxue Li, Xiaofen Yang, Xuhuan Xie, Guiyun Liu

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Enhancing public cloud resilience: an analytical review of detection and mitigation strategies against economic denial of sustainability attacks by Zubaidi Maytham Sahar Saeed, Anazida Binti Zainal, Fuad A. Ghaleb, Bander Ali Saleh Al-rimy

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Impossible 4-Tuple Attack: A New Mixture-Based Cryptanalysis Applied to Reduced-Round AES-128 by Masroor Hajari, Mahmoud Salmasizadeh, Javad Mohajeri, Siavash Ahmadi, Atiyeh Mirzaie

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Identifying Subalpine Fir (Abies lasiocarpa) Attacked by the Balsam Woolly Adelgid (Adelges piceae) Using Spectral Measurements of the Foliage by Stephen P. Cook, Karen S. Humes, Ryan Hruska, Grant Fraley, Christopher J. Williams

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Securing smart cities through machine learning: A honeypot‐driven approach to attack detection in Internet of Things ecosystems by Yussuf Ahmed, Kehinde Beyioku, Mehdi Yousefi

“…Smart cities, relying on interconnected sensors, are particularly susceptible to attacks due to the expanded entry points created by these devices. …”
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Automatic dependent surveillance-broadcast (ADS-B) anomalous messages and attack type detection: deep learning-based architecture by Waqas Ahmed, Ammar Masood, Jawad Manzoor, Sedat Akleylek

“…Third, the study proposes a robust and accurate Intrusion Detection System (IDS) using three advanced deep learning models—TabNet, Neural Oblivious Decision Ensembles (NODE), and DeepGBM—to classify ADS-B messages and detect specific attack types. …”
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A FUZZY LOGIC MODEL FOR HUMAN DISTRESS DETECTION by DIMPLE OGUNBIYI, IBRAHIM OGUNDOYIN, CALEB AKANBI

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A Decision-Making Method for Distributed Unmanned Aerial Vehicle Swarm considering Attack Constraints in the Cooperative Strike Phase by Wenjia Su, Min Gao, Xinbao Gao, Zhaolong Xuan

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A Combined Approach to Safety and Security of IoT by Applying Fault Tree Analysis and Attack Trees with Minimal Cut Sets by Mohammad Rezaul Karim, Sohag Kabir, Ci Lei, Raluca Lefticaru, Mohammad Abdul Baset

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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms by S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa

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ANALYSIS OF THE STABILITY OF IDENTIFICATION METHOD OF DDOS-ATTACKS AT THE PHYSICAL LEVEL OF THE OSI NETWORK MODEL TO VARIOUS VARIATIONS OF LOADING ON THE CHANNEL by Roman Aidyn Mamedov, Vladimir Feokharovich Antonov

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