在物联网网络中使用斑马优化和双通道GAN分类来加强尸网络检测
S K Khaja Shareef1, R Krishna Chaitanya2, Srinivasulu Chennupalli3
1Department of Computer Science & Information Technology, Koneru Lakshmaiah Education Foundation, Hyderabad, India.
Scientific reports
|July 26, 2024
概括
本研究介绍了一种新的反恶意软件模型,用于物联网 (IoT) 安全. 该STOA-DGAN模型有效地检测到尸网络活动,准确率为99.87%,提高了物联网设备的保护.
科学领域:
- 计算机科学 计算机科学
- 网络安全 网络安全
- 网络安全 网络安全
背景情况:
- 物联网 (IoT) 正在扩展到关键领域,如医疗保健和智能城市.
- 物联网设备由于有限的处理能力和不充分的安全协议而面临重大安全风险.
- 现有的反恶意软件解决方案难以应对物联网威胁的不断变化的风景.
研究的目的:
- 开发一个先进的,基于特征选择的分类模型,用于强大的物联网恶意软件检测.
- 提高物联网网络中识别异常活动的准确性和可靠性,例如尸网络入侵.
主要方法:
- 实施了一个预处理阶段,涉及数据平滑和一致性改进.
- 斑马优化算法 (ZOA) 用于有效的特征选择和维度减少.
- 一个双通道图表注意网络 (DGAN),结合节点和语义注意网络,被用于分类.
- 在超参数调整中应用了Sooty Tern优化算法 (STOA),以优化模型性能.
主要成果:
- 拟议的STOA-DGAN模型实现了对尸网络活动的高分类准确率99.87%.
- 与现有的网络安全方法相比,该模型表现出卓越的稳定性和可靠性.
- 整合结构和语义数据显著改善了检测能力.
结论:
- STOA-DGAN模型为在物联网环境中检测尸网络活动提供了一个非常有效的解决方案.
- 功能选择和先进的网络架构有助于增强针对复杂网络威胁的安全性.
- 这项研究提供了一种可靠的方法来保护关键的物联网基础设施和应用程序.
相关概念视频
01:22Force Classification
2.8K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.8K
01:30Classification of Signals
1.6K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.6K
01:26Classification of Systems-I
750
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
750
01:31Classification of Systems-II
658
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
658