A Convolutional Autoencoder Based Method with SMOTE for Cyber Intrusion Detection

2021 ◽  
Author(s):  
Xinyi She ◽  
Yuji Sekiya
Keyword(s):  
Intrusion Detection ◽  
Convolutional Autoencoder

Intrusion Detection Scheme in Vehicular Ad-Hoc Complex Network

CICTP 2020 ◽  
2020 ◽  
Author(s):  
Hong Zhang
Keyword(s):  
Intrusion Detection ◽  
Complex Network ◽  
Ad Hoc ◽  
Detection Scheme

Intrusion Detection by Implementing CRF's Using the Technique of Layered Approach

2012 ◽  
Vol 2 (2) ◽  
pp. 128-131
Author(s):  
Baji Yadala ◽  
◽  
Shaik Salma Begum
Keyword(s):  
Intrusion Detection ◽  
Layered Approach

Proposal to WNIDS Wireless Network Intrusion Detection System

2012 ◽  
Vol 2 (10) ◽  
pp. 4-8
Author(s):  
Dr. Saad K Majeed ◽  
◽  
Dr. Soukaena H Hashem ◽  
Ikhlas K Gbashi
Keyword(s):  
Intrusion Detection ◽  
Wireless Network ◽  
Intrusion Detection System ◽  
Detection System ◽  
Network Intrusion Detection ◽  
Network Intrusion ◽  
Network Intrusion Detection System

Classification with Clustering and Gaussian Functions in Intrusion Detection System

2014 ◽  
Vol 134 (12) ◽  
pp. 1908-1915 ◽  
Author(s):  
Nannan Lu ◽  
Shingo Mabu ◽  
Yuhong Li ◽  
Kotaro Hirasawa
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Gaussian Functions

Intrusion Detection System with Deceptive Virtual Host

2015 ◽  
Vol 03 (07) ◽  
pp. 6432-6441
Author(s):  
Priya B. Bhosle Prof. M. V. Desai
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System

Security of Cyber-Physical Systems: A Generalized Algorithm for Intrusion Detection and Determining Security Robustness of Cyber Physical Systems using Logical Truth Tables

2013 ◽  
Vol 9 ◽  
Author(s):  
Curtis G. Northcutt
Keyword(s):  
Intrusion Detection ◽  
Cyber Security ◽  
Logical Truth ◽  
Cyber Physical Systems ◽  
Security Model ◽  
Security Measures ◽  
Physical Systems ◽  
Multiple Signal ◽  
Security Attack ◽  
Truth Tables

The recent proliferation of embedded cyber components in modern physical systems [1] has generated a variety of new security risks which threaten not only cyberspace, but our physical environment as well. Whereas earlier security threats resided primarily in cyberspace, the increasing marriage of digital technology with mechanical systems in cyber-physical systems (CPS), suggests the need for more advanced generalized CPS security measures. To address this problem, in this paper we consider the first step toward an improved security model: detecting the security attack. Using logical truth tables, we have developed a generalized algorithm for intrusion detection in CPS for systems which can be defined over discrete set of valued states. Additionally, a robustness algorithm is given which determines the level of security of a discrete-valued CPS against varying combinations of multiple signal alterations. These algorithms, when coupled with encryption keys which disallow multiple signal alteration, provide for a generalized security methodology for both cyber-security and cyber-physical systems.

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