Results 211 to 220 of about 3,299,036 (246)
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2016
Detecting most incidents requires automated analysis tools, system behavior patterns, and an awareness of what to look for among equipment operators, supervisors, and other hospital staff. Hackers try to hide their activities by stealing large amounts of data during peak hours.
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Detecting most incidents requires automated analysis tools, system behavior patterns, and an awareness of what to look for among equipment operators, supervisors, and other hospital staff. Hackers try to hide their activities by stealing large amounts of data during peak hours.
openaire +1 more source
Machine Learning Techniques for Cyber Attacks Detection
2014The increased usage of cloud services, growing number of users, changes in network infrastructure that connect devices running mobile operating systems, and constantly evolving network technology cause novel challenges for cyber security that have never been foreseen before.
Rafal Kozik, Michal Choras
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Cyber Attack Detection Framework for Cloud Computing
2020To prevent cyber-attacks, cloud-based systems mainly depend upon different types of intrusion detection systems (IDS). Most of the approaches have high detection rate for known attacks. But in case of unknown attacks or new attacks, these intrusion detection system increases false alarm rate.
Suryakant Badde +3 more
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Detection and Defense Methods of Cyber Attacks
2021Cyberspace has been threatened by attacks ever since its birth. With the development of the information technologies, especially big data and artificial intelligence, many kinds of cyber attacks are emerging every day, causing severe consequences to society. Meanwhile, intelligent defense methods are proposed to detect these attacks.
Kai Xing, Aiping Li, Rong Jiang, Yan Jia
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Journal of Artificial Intelligence, Machine Learning and Neural Network, 2023
This research is a finding and detection type of research. That paper focuses on exploratory data analysis and YOLOv3, you only look once at version three, a real-time recognizing model. The hypothesis of this research are, a cyber-attack gives the same pattern in all the different, different IP addresses, and the research model, the YOLOv3 model can ...
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This research is a finding and detection type of research. That paper focuses on exploratory data analysis and YOLOv3, you only look once at version three, a real-time recognizing model. The hypothesis of this research are, a cyber-attack gives the same pattern in all the different, different IP addresses, and the research model, the YOLOv3 model can ...
openaire +1 more source
Human Augmentation of UAV Cyber-Attack Detection
2018Unmanned aerial vehicles (UAVs) have extensive applications in both civilian and military applications. Nevertheless, the continued development of UAVs has been accompanied by security concerns. UAV navigation systems are potentially vulnerable to malicious attacks that target their Global Positioning System (GPS). Thus, efficient GPS hacking detection
Haibei Zhu +4 more
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The Future Roadmap for Cyber-attack Detection
2022 6th International Conference on Cryptography, Security and Privacy (CSP), 2022Raha Soleymanzadeh, Rasha Kashef 0001
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Methods of anomaly detection for the prevention and detection of cyber attacks
International Journal of Intelligent Engineering Informatics, 2023N. Girubagari, T. N. Ravi
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Clustering toward detecting cyber attacks
2010 International Conference on Computer Application and System Modeling (ICCASM 2010), 2010Several anomaly methods have been proposed to cope with the recent booming of HTTP-related vulnerabilities which renders the security breaches of lots of vital HTTPbased services on the internet. This paper proposes a novel bottom-up agglomerative clustering method which not only spares the nuisance of a learning process that involves a big amount of ...
Yang, Xiaofeng +5 more
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