Simulated annealing on uncorrelated energy landscapes by Ben Goertzel, Malwane Ananda

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Publisher Correction: Comparative lipidome and transcriptome provide novel insights into zero-valent iron nanoparticle-treated Fremyella diplosiphon by Yavuz S. Yalcin, Samson Gichuki, Huan Chen, Anithachristy Sigamani Arumanayagam, Shyama Malika Malwalage, Viji Sitther

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Comparative lipidome and transcriptome provide novel insights into zero-valent iron nanoparticle-treated Fremyella diplosiphon by Yavuz S. Yalcin, Samson Gichuki, Huan Chen, Anithachristy Sigamani Arumanayagam, Shyama Malika Malwalage, Viji Sitther

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Enhanced Intrusion Detection in Drone Networks: A Cross-Layer Convolutional Attention Approach for Drone-to-Drone and Drone-to-Base Station Communications by Mohammad Aldossary, Ibrahim Alzamil, Jaber Almutairi

“…Distributed Denial of Service (DDoS) attacks, malware infections, and communication abnormalities increase cybersecurity dangers to these networks, threatening operational safety and efficiency. …”
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An Analysis of Security System for Intrusion in Smartphone Environment by Maya Louk, Hyotaek Lim, HoonJae Lee

“…There are many malware applications in Smartphone. Smartphone’s users may become unaware if their data has been recorded and stolen by intruders via malware. …”
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Pengukuran Kesadaran Keamanan Informasi Pegawai: Studi Kasus PT Meshindo Jayatama by Abdul Gofur, Rizal Fathoni Aji, Heri Kurniawan

“…Hasil wawancara dengan Presiden Direktur dan Manager Teknologi Informasi (TI) PT Meshindo Jayatama menyatakan bahwa telah terjadi serangan seperti Phishing dan Malware sebanyak 26 kali ditahun 2023. Dengan adanya serangan malware yang mengakibatkan terinfeksinya dokumen laporan perusahaan dan kerugian finansial yang disebabkan oleh faktor kelalaian sumber daya manusia, menjadi pertimbangan perlu untuk dilakukan pengukuran kesadaran keamanan informasi dan mengetahui area yang perlu ditingkatkan. …”
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Survey on key technologies for protective DNS service by MA Yongzheng, LI Hongtao, MA Zhongsheng, HU Weihong, ZHANG Zhongxian

“…Common DNS abuses and related security threats on the client side include phishing, malware, and other attacks based on DNS. The protective DNS (PDNS) service leverages the existing DNS protocol and architecture to detect and mitigate threats by analyzing DNS queries, thereby protecting users against potential security threads at the source. …”
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Real-time Defense Against Cyber Threats: Analyzing Wazuh's Effectiveness in Server Monitoring by Alde Alanda, H.A Mooduto, Ronal Hadi

“…Wazuh's capabilities such as log data collection, malware detection, active response automation, and Docker container monitoring, are examined. …”
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Cyber Security Intrusion Detection Using a Deep Learning Method by Basheer Ullah, Shafiq-ur-Rehman Massan, M. Abdul Rehman, Rabia Ali Khan

“…Present methods to detect, predict and prevent malware still fall short of the desired level. The new techniques of deep learning are poised to succeed for detecting intrusion by employing different algorithms of detection and prevention. …”
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MODIFICAREA PEISAJULUI AMENINȚĂRILOR CIBERNETICE DATORITĂ IMPLICĂRII GRUPĂRILOR DE CYBERCRIME ÎN RĂZBOIUL RUSO-UCRAINEAN by Claudia-Alecsandra GABRIAN

“…There were identified changes in malware-as-a-service and ransomware-as-a-service attacks, as well as changes in cybercriminal tactics and methods to orchestrate an attack. …”
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Analisis Kinerja Intrusion Detection System Berbasis Algoritma Random Forest Menggunakan Dataset Unbalanced Honeynet BSSN by Kuni Inayah, Kalamullah Ramli

“…The model classifies 10 (ten) classifications, namely Benign, Information Leak, Malware, Trojan Activity, Information Gathering, APT, Exploit, Web Application Attack, Denial of Service (DoS), and other types of attacks. …”
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Evaluating the Performance of a Static Patching Strategy against Computer Viruses by Da-Wen Huang, Lu-Xing Yang, Xiaofan Yang, Xiang Zhong, Yuan Yan Tang

“…Our findings provide a significant guidance for restraining malware propagation.…”
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Reinforcement Learning-Based Generative Security Framework for Host Intrusion Detection by Yongsik Kim, Su-Youn Hong, Sungjin Park, Huy Kang Kim

“…When calculating the reward in reinforcement learning, we used the comparison value with the pre-trained Seq2Seq model, the malware log sequence detected by the rule set based on reinforcement learning, and the false positive value generated by the normal data to create its own rule set. …”
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Lightweight Models for Real-Time Steganalysis: A Comparison of MobileNet, ShuffleNet, and EfficientNet by Achmad Bauravindah, Dhomas Hatta Fudholi

“…Steganography conceals data within digital media, but its misuse for cyberattacks—such as embedding malware—has highlighted the need for steganalysis, the detection of hidden data. …”
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New Heuristics Method for Malicious URLs Detection Using Machine Learning by Maher Kassem Hasan

“… Malicious URLs are a very prominent, dangerous form of cyber threats in view of the fact that they can enable many evils like phishing attacks, malware distribution, and several other kinds of cyber fraud. …”
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Consumer Protection of Girls from Cybercrime in a Gender Perspective by Susilowati Suparto, Deviana Yuanitasari, Sonny Dewi Judiasih, Yamudin Salaeh

“…Cybercrime covers a wide range of illegal acts carried out through the Internet or other digital devices, including fraud, identity theft, hacking, the spread of malware, to sexual exploitation of children. Girls are often the primary targets of these various forms of cybercrime. …”
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Unveiling personalized and gamification-based cybersecurity risks within financial institutions by Amna Shahzadi, Kashif Ishaq, Naeem A. Nawaz, Fadhilah Rosdi, Fawad Ali Khan

“…The article also offers a comprehensive taxonomy of financial services, categorizing cyber threats into game-based (e.g., phishing, malware, APTs) and non-game-based (e.g., social engineering, compliance issues) threats. …”
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Leaking Network Devices with Rubber Ducky Attack by Zeynep Rana Donmez, Şeyma Atmaca, Yıldıray YALMAN

“…Unlike traditional electronic attacks, it relies on manipulating individuals to run malware-infected devices or share sensitive information willingly. …”
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PROPOSALS FOR A BROADER APPROACH OF „MISUSE OF DEVICES AND PROGRAMS” PROVISION IN COMBATING CYBER-DEPENDENT AND CYBER-ENABLED CRIMES by Maxim DOBRINOIU

“…Taking into consideration the proliferation of illegal activities against personal information, confidential data or access credentials, especially the commercialization, especially in Dark Web, of codes, passwords, hacking tools, malware and other present or future cutting-edge system interference technologies, thus posing a great danger to the whole cyber-ecosystem, an improvement of art. 6, and of all the correspondent (related) articles in the special laws or the criminal codes adopted by the signatory countries, would contribute to the creation of an extensive and much comprehensive legal tool in the prevention and efficiently combating cybercrimes.…”
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Comparing the Prognostic Value of Lactate to the Neutrophil to Lymphocyte Ratio Among Sepsis Patients: A Prospective Cohort Study by Bou Chebl R, Haidar S, Kattouf N, Assaf M, Alwan JS, Khamis MM, Abdeldaem K, Makki M, Tamim H, Abou Dagher G

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