English(EN) A Structured State Space Sequence Model for Multi-Class Classification of Malware

提出新型S4模型以增强物联网恶意软件分类

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-02 04:00

研究人员提出了一种使用结构化状态空间序列（S4）模型对恶意软件进行分类的新方法。该方法旨在增强物联网（IoT）设备的安全性，这些设备由于其快速扩张和通常不足的内置安全性而日益脆弱。S4模型应用于恶意软件样本序列，以识别其执行流程中的长期依赖关系和因果关系，为网络安全领域提供了新的应用。 AI

影响这项研究可能为数量不断增长的物联网设备带来更强大的安全措施，提高它们抵御不断演变的恶意软件威胁的弹性。

排序理由学术论文，详细介绍了一种使用特定深度学习模型进行恶意软件分类的新颖方法。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Emmanuela Andam, Rana Shaaban, Emanuel Grant, Naima Kaabouch · 2026-10-02 04:00

一种结构化状态空间序列模型用于恶意软件的多类别分类

arXiv:2610.01893v1 Announce Type: cross Abstract: By 2030, Internet of Things (IoT) devices are projected to reach 40 billion, with fast-paced technological advancements in fields such as industry, healthcare, agriculture, automobiles, and building/home automation systems. This e…