RDP-based Lateral Movement detection using Machine Learning

2021 ◽  
Vol 165 ◽  
pp. 9-19
Author(s):  
Tim Bai ◽  
Haibo Bian ◽  
Mohammad A. Salahuddin ◽  
Abbas Abou Daya ◽  
Noura Limam ◽  
...  
Keyword(s):  
Machine Learning ◽  
Lateral Movement ◽  
Movement Detection

scholarly journals A Machine Learning Approach for RDP-based Lateral Movement Detection

2019 ◽  
Author(s):  
Tim Bai ◽  
Haibo Bian ◽  
Abbas Abou Daya ◽  
Mohammad A. Salahuddin ◽  
Noura Limam ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Approach ◽  
Lateral Movement ◽  
Movement Detection ◽  
Machine Learning Approach

scholarly journals Real-Time Lateral Movement Detection Based on Evidence Reasoning Network for Edge Computing Environment

2019 ◽  
Vol 15 (7) ◽  
pp. 4285-4294 ◽  
Author(s):  
Zhihong Tian ◽  
Wei Shi ◽  
Yuhang Wang ◽  
Chunsheng Zhu ◽  
Xiaojiang Du ◽  
...  
Keyword(s):  
Real Time ◽  
Edge Computing ◽  
Lateral Movement ◽  
Movement Detection ◽  
Computing Environment

scholarly journals NETWORK ASSAILABLE ANALYSIS THROUGH LOG RETRIEVAL AND DEPLOYING SECURITY MECHANISMS OFF PREMISES

2020 ◽  
pp. 232-237
Author(s):  
Mr. P R Kuber Gupta
Keyword(s):  
Lateral Movement ◽  
Movement Detection ◽  
Network Platform

The model that is proposed in this article helps in securing both on and off premises networks of any organization without any ambiguity. Usage of SIEM tool for log retrieval and analysis, firewalls and other security mechanisms to protect environment from intruders helps in achieving a secured network platform. The proposed methodology helps in protecting organization’s network from attackers or intruders through lateral movement detection. KEYWORDS- SIEM, firewall, security mechanisms, on premises, off premises, lateral movement.

Latte: Large-Scale Lateral Movement Detection

2018 ◽  
Author(s):  
Qingyun Liu ◽  
Jack W. Stokes ◽  
Rob Mead ◽  
Tim Burrell ◽  
Ian Hellen ◽  
...  
Keyword(s):  
Large Scale ◽  
Lateral Movement ◽  
Movement Detection

Dynamic balance control of two-wheeled self-balancing pendulum robot based on adaptive machine learning

2019 ◽  
Vol 18 (01) ◽  
pp. 1941002
Author(s):  
Qingwen Qian ◽  
Junfeng Wu ◽  
Zhe Wang
Keyword(s):  
Machine Learning ◽  
Numerical Calculation ◽  
Theoretical Analysis ◽  
Control Method ◽  
Balance Control ◽  
Dynamic Balance ◽  
Lateral Movement ◽  
Simulation Test ◽  
Root Cause ◽  
Dynamic Movement

To solve the problem of balance control in dynamic movement of two-wheeled self-balancing pendulum robot, a dynamic balance control method based on adaptive machine learning is proposed based on theoretical analysis of the cause of balance. Firstly, a kinematics model of two-wheeled self-balancing pendulum robot is established. Through numerical calculation and analysis, the root cause for dynamic balance of two-wheeled self-balancing pendulum robot is obtained. On this base, adaptive machine learnings are proposed to control the dynamic balance of two-wheeled self-balancing pendulum robot. The possible lateral movement of robot caused by dynamic balance control is analyzed. Finally, balance simulation test is conducted, which shows that the robot can easily lose balance and overturn without adaptive machine learning. The comparison of simulation test has verified that the proposed dynamic balance control method can effectively control the dynamic balance of two-wheeled self-balancing pendulum robot.

Sign in / Sign up

Export Citation Format

Share Document