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   Articles with "zero day" as a keyword



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An Efficient Hybrid Evolutionary Approach for Identification of Zero-Day Attacks on Wired/Wireless Network System

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recommendations! Published in 2020 at "Wireless Personal Communications"

DOI: 10.1007/s11277-020-07808-y

Abstract: Attacks from network applications establish considerable security threats for computer networks and end users. Existing cyber-attack detection methods are designed primarily in signature-based approaches that can not recognize zero-day vulnerabilities. In addition, with the minimum… read more here.

Keywords: system; network; wireless; approach ... See more keywords

An unsupervised approach for the detection of zero-day distributed denial of service attacks in Internet of Things networks

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recommendations! Published in 2024 at "IET Networks"

DOI: 10.1049/ntw2.12134

Abstract: The authors introduce an unsupervised Intrusion Detection System designed to detect zero‐day distributed denial of service (DDoS) attacks in Internet of Things (IoT) networks. This system can identify anomalies without needing prior knowledge or training… read more here.

Keywords: zero day; denial service; day distributed; distributed denial ... See more keywords

SimCSE for Encrypted Traffic Detection and Zero-Day Attack Detection

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3177272

Abstract: Traffic detection has attracted much attention in recent years, playing an essential role in intrusion detection systems (IDS). This paper proposes a new approach for traffic detection at the packet level, inspired by natural language… read more here.

Keywords: day attack; traffic; zero day; detection ... See more keywords

Anomaly Detection Based on CNN and Regularization Techniques Against Zero-Day Attacks in IoT Networks

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recommendations! Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3206367

Abstract: The fast expansion of the Internet of Things (IoT) in the technology and communication industries necessitates a continuously updated cyber-security mechanism to keep protecting the systems’ users from any possible attack that might target their… read more here.

Keywords: network; regularization; service; detection ... See more keywords

F-OSFA: A Fog Level Generalizable Solution for Zero-Day DDOS Attacks Detection

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recommendations! Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3557822

Abstract: The globalization and digitization of society have caused a surge in network traffic, making reliable online services essential for user trust and system functionality. However, these services face ever-increasing threats, particularly complex and well-developed Distributed… read more here.

Keywords: detection; zero day; solution; day ddos ... See more keywords

Federated Incremental Learning based Evolvable Intrusion Detection System for Zero-Day Attacks

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recommendations! Published in 2023 at "IEEE Network"

DOI: 10.1109/mnet.018.2200349

Abstract: Smart community networks bring great comfort and convenience for people, but also increase security risks of exposing system vulnerabilities and private data to network intruders. This problem has become more prominent as the ever-increasing zero-day… read more here.

Keywords: intrusion detection; zero day; detection; day attacks ... See more keywords

PlausMal-GAN: Plausible Malware Training Based on Generative Adversarial Networks for Analogous Zero-Day Malware Detection

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recommendations! Published in 2023 at "IEEE Transactions on Emerging Topics in Computing"

DOI: 10.1109/tetc.2022.3170544

Abstract: Zero-day malicious software (malware) refers to a previously unknown or newly discovered software vulnerability. The fundamental objective of this paper is to enhance detection for analogous zero-day malware by efficient learning to plausible generated data.… read more here.

Keywords: malware; day malware; zero day; gan ... See more keywords

Using Bayesian Networks for Probabilistic Identification of Zero-Day Attack Paths

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recommendations! Published in 2018 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2018.2821095

Abstract: Enforcing a variety of security measures (such as intrusion detection systems, and so on) can provide a certain level of protection to computer networks. However, such security practices often fall short in face of zero-day… read more here.

Keywords: attack paths; attack path; day attack; day ... See more keywords

Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV

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recommendations! Published in 2024 at "IEEE Transactions on Vehicular Technology"

DOI: 10.1109/tvt.2024.3385916

Abstract: The Internet ofVehicles (IoV) is a crucial technology for Intelligent Transportation Systems (ITS) that integrates vehicles with the Internet and other entities. The emergence of 5G and the forthcoming 6G networks presents an enormous potential… read more here.

Keywords: detection; zero day; framework; open set ... See more keywords
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Progress towards near‐zero 90‐day mortality: 388 consecutive hepatectomies over a 16‐year period

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recommendations! Published in 2019 at "ANZ Journal of Surgery"

DOI: 10.1111/ans.15304

Abstract: Hepatectomy has been the gold standard procedure for curative treatment of benign and malignant hepatobiliary lesions for over a century. The aim of this study is to report on the 16‐year experience of a single… read more here.

Keywords: year; towards near; day mortality; progress towards ... See more keywords

ZeVigilante: Detecting Zero-Day Malware Using Machine Learning and Sandboxing Analysis Techniques

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recommendations! Published in 2022 at "Computational Intelligence and Neuroscience"

DOI: 10.1155/2022/1615528

Abstract: For the enormous growth and the hysterical impact of undocumented malicious software, otherwise known as Zero-Day malware, specialized practices were joined to implement systems capable of detecting these kinds of software to avert possible disastrous… read more here.

Keywords: day; zevigilante detecting; machine learning; day malware ... See more keywords