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Binary Representation Embedding and Deep Learning For Binary Code Similarity Detection in Software Security Domain

6 tháng trước

Binary Representation Embedding and Deep Learning For Binary Code Similarity Detection in Software Security Domain

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FedChain-Hunter: A Reliable and Privacy-Preserving Aggregation for Federated Threat Hunting Framework in SDN-based IIoT

7 tháng trước

In the development of the Industrial Internet of Things (IIoT), cyber threats and attacks have become major issues and concerns in Industry 4.0 due to the negative impacts on the infrastructures and services across organizations. Nevertheless, due to the issues in preserving privacy and transparency, there is a lack of…

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On the effectiveness of transferability of adversarial Android malware samples against learning-based detectors

8 tháng trước

In recent times, there has been a growing utilization of Machine Learning (ML) in the realm of malware detection. The Adversarial Example (AE) attack, which is widely acknowledged for undermining ML in diverse contexts, has demonstrated its effectiveness in evading or deceiving ML-based systems designed for malware detection. By ensuring…

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IncWAD: An Incremental Learning Approach for Web Attack Detection Using MLOps

8 tháng trước

With the continuous growth of the internet and web applications, billions of websites built and available at our fingertips today lead more and more sophisticated and malicious attacks and pose requirements to build more precise and modern Web Attack Detection (WAD) system. Nowadays, many Machine Learning (ML)-based WAD approaches have…

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