Real Time early Multi Stage Attack Detection

Author(s):  
Yuvraj Sanjayrao Takey ◽  
Sai Gopal Tatikayala ◽  
Satyanadha Sarma Samavedam ◽  
P R Lakshmi Eswari ◽  
Mahesh Uttam Patil
2014 ◽  
Vol 610 ◽  
pp. 339-344
Author(s):  
Qiang Guo ◽  
Yun Fei An

A UCA-Root-MUSIC algorithm for direction-of-arrival (DOA) estimation is proposed in this paper which is based on UCA-RB-MUSIC [1]. The method utilizes not only a unitary transformation matrix different from UCA-RB-MUSIC but also the multi-stage Wiener filter (MSWF) to estimate the signal subspace and the number of sources, so that the new method has lower computational complexity and is more conducive to the real-time implementation. The computer simulation results demonstrate the improvement with the proposed method.


2021 ◽  
Vol 28 ◽  
pp. 1510-1514
Author(s):  
Wanli Peng ◽  
Jinyu Zhang ◽  
Yiming Xue ◽  
Zhenghong Yang

2019 ◽  
Vol 130 ◽  
pp. 360-366 ◽  
Author(s):  
Haiyun Wu ◽  
Ryosuke Shinoda ◽  
Masataka Murata ◽  
Haruto Matsumoto ◽  
Hitoshi Ohnuki ◽  
...  

Author(s):  
V.A. Desnitsky ◽  

The article presents an approach to detecting attacks in real time based on simulation and graph-oriented mod- eling. The detection process is performed in a mode close to real-time with the ability to promptly detect known types of security incidents. The distinctive features of the approach include the multidimensional nature of attack detection with the ability to select a specific type of simulation and graph-oriented attack detection model with their subsequent combination. In addition, within the practical part of the work, a software tool has been developed to select the most suitable model apparatus for detecting attacks of each type.


Author(s):  
Franciso J. Aparicio-Navarro ◽  
Konstantinos G. Kyriakopoulos ◽  
Ibrahim Ghafir ◽  
Sangarapillai Lambotharan ◽  
Jonathon A. Chambers

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