Salem, Y. R., & Cotae, P. (2018, October), Analysis of Distributed Denial of Service Attacks Detection Using Fisher Statistical Method  Paper presented at 2018 Mid Atlantic Section Fall Meeting, Brooklyn Technical High School, Brooklyn, New York, New York. 10.18260/1-2--31445

\bibitem{asee_peer_31445}
  Salem, Y. R., \& Cotae, P. (2018, October), \emph{Analysis of Distributed Denial of Service Attacks Detection Using Fisher Statistical Method}
  Paper presented at 2018 Mid Atlantic Section Fall Meeting, Brooklyn Technical High School, Brooklyn, New York, New York.
  10.18260/1-2--31445

Yasser R Salem and Paul Cotae.  "Analysis of Distributed Denial of Service Attacks Detection Using Fisher Statistical Method".  2018 Mid Atlantic Section Fall Meeting, Brooklyn Technical High School, Brooklyn, New York, New York, 2018, October.  ASEE Conferences, 2018.  https://peer.asee.org/31445 Internet.  12 May, 2024

\bibitem{asee_peer_31445}
  Yasser R Salem and Paul Cotae.
  "Analysis of Distributed Denial of Service Attacks Detection Using Fisher Statistical Method".
  \emph{2018 Mid Atlantic Section Fall Meeting, Brooklyn Technical High School, Brooklyn, New York, New York, 2018, October}.
  ASEE Conferences, 2018.
  https://peer.asee.org/31445 Internet.  12 May, 2024

@INPROCEEDINGS{asee_peer_31445
author = "Yasser R Salem and Paul Cotae"
title = "Analysis of Distributed Denial of Service Attacks Detection Using Fisher Statistical Method"
booktitle = "2018 Mid Atlantic Section Fall Meeting"
year = "2018"
month = "October"
address = "Brooklyn Technical High School, Brooklyn, New York, New York"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/31445}
number = {10.18260/1-2--31445}
}

TY  - CPAPER
AB  - The malicious of quality of services attacks become one of the most serious security threats to the Internet. In this paper we focused on the detection of a low and slow rate attacks in Distributed Denial of Service (DDoS). In this kind of attack, a malicious attacker generates low rate packet and an attacker is congestions the TCP, so the network bandwidth is affected and degrades the quality of service. After a user enters in the retransmission timeout (RTO) phase, attackers synchronize with the RTO period and they can overcontrol the legitimate users.
In this paper, we focus on the detection of (DDoS) attacks in spectral domain. We study our data using MATLAB and statistical methods. We used periodogram to find the malicious. We tested, analyzed and simulated different types of flows in a computer network by using MATLAB. Also, we use Fisher statistical methods for detection of the DDoS attacks components. The Fisher statistical methods used to study the data in multiple times series. Then, we test the data by using Fisher test to find an attacker that is hiding in the process.
We applied the MATLAB toolboxes to study the data. We used to apply most communications and signal processing toolboxes to notice differences in the time domain and spectral domain. The paper has joined different engineering areas and levels to enhance students’ abilities. Student ambitions are crucial of excellent researcher and they are enhanced the technical backgrounds and research skills for students in Cybersecurity.

AU  - Yasser R Salem
AU  - Paul Cotae
CY  - Brooklyn Technical High School, Brooklyn, New York, New York
DA  - 2018/10/26
PB  - ASEE Conferences
TI  - Analysis of Distributed Denial of Service Attacks Detection Using Fisher Statistical Method
UR  - https://peer.asee.org/31445
DO  - 10.18260/1-2--31445
ER  -