由LSTM神经网络支持的伪造网络攻击:一个实验案例研究
Krzysztof Zarzycki1, Patryk Chaber1, Krzysztof Cabaj2
1Institute of Control and Computation Engineering, Faculty of Electronics and Information Technology, Warsaw University of Technology, 00-665 Warsaw, Poland.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
对工业控制系统的网络攻击带来了重大风险. 本研究表明,长短期内存 (LSTM) 网络如何模拟和利用系统漏洞,从而导致潜在的过程中断.
科学领域:
- 网络安全 网络安全
- 控制系统工程 控制系统工程
- 人工智能的人工智能
背景情况:
- 工业控制系统 (ICS) 越来越容易受到网络攻击.
- 攻击可以对物理过程造成重大损害.
- 长短期内存 (LSTM) 网络可以模拟复杂的系统动态.
研究的目的:
- 调查网络工业控制系统对网络攻击的脆弱性.
- 探索LSTM网络在建模和潜在利用这些系统中的使用.
- 提出针对基于LSTM的网络攻击的保护方法.
主要方法:
- 在工业控制网络内进行磁悬浮过程的实验研究.
- 开发和评估LSTM神经网络模型.
- 模型培训,绩效评估和LSTM网络的结构选择.
主要成果:
- 选择的LSTM网络准确地模仿了磁悬浮过程的动态.
- 证明了LSTM网络模拟和可能误导工艺运营商的能力.
- 使用LSTM模型识别了特定的网络攻击载体.
结论:
- 对于攻击者来说,LSTM网络提供了一种可行的方法来破坏ICS,即使不完全了解物理过程.
- 这项研究为开发有效的防御策略来应对这些先进的网络威胁提供了基础.
- 制定了针对基于LSTM的网络攻击的保护方法的建议.
相关概念视频
01:35Long-term Potentiation
55.4K
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
55.4K
01:18False Memories
113
False memories represent a cognitive distortion in which individuals recall events that did not happen, or remember them in an altered form. This phenomenon highlights the brain's constructive nature in processing and recalling memories, emphasizing that memory is not a perfect representation of past events but rather a dynamic reconstruction influenced by various factors.
One primary source of false memories is misattribution, where individuals incorrectly associate external information...
One primary source of false memories is misattribution, where individuals incorrectly associate external information...
113