Salem, Y. R., & Cotae, P. (2018, April), Analysis of the Low Rate of Denial of Service Attacks Detection by Using Statistical Fisher Methods  Paper presented at 2018 ASEE Mid-Atlantic Section Spring Conference, Washington, District of Columbia. 10.18260/1-2--29454

\bibitem{asee_peer_29454}
  Salem, Y. R., \& Cotae, P. (2018, April), \emph{Analysis of the Low Rate of Denial of Service Attacks Detection by Using Statistical Fisher Methods}
  Paper presented at 2018 ASEE Mid-Atlantic Section Spring Conference, Washington, District of Columbia.
  10.18260/1-2--29454

Yasser R Salem and Paul Cotae.  "Analysis of the Low Rate of Denial of Service Attacks Detection by Using Statistical Fisher Methods".  2018 ASEE Mid-Atlantic Section Spring Conference, Washington, District of Columbia, 2018, April.  ASEE Conferences, 2018.  https://peer.asee.org/29454 Internet.  13 Apr, 2024

\bibitem{asee_peer_29454}
  Yasser R Salem and Paul Cotae.
  "Analysis of the Low Rate of Denial of Service Attacks Detection by Using Statistical Fisher Methods".
  \emph{2018 ASEE Mid-Atlantic Section Spring Conference, Washington, District of Columbia, 2018, April}.
  ASEE Conferences, 2018.
  https://peer.asee.org/29454 Internet.  13 Apr, 2024

@INPROCEEDINGS{asee_peer_29454
author = "Yasser R Salem and Paul Cotae"
title = "Analysis of the Low Rate of Denial of Service Attacks Detection by Using Statistical Fisher Methods"
booktitle = "2018 ASEE Mid-Atlantic Section Spring Conference"
year = "2018"
month = "April"
address = "Washington, District of Columbia"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/29454}
number = {10.18260/1-2--29454}
}

TY  - CPAPER
AB  - The paper emphasizes on the cybersecurity for the Low Rate of Denial of Service (LR DOS) attacks. By exploiting the weaknesses of the TCP/IP protocol, attackers send a cracking packet quasiperiodic in order to overabundance the server before TCP sender enters retransmission timeout (RTO) phase.  Therefore, the attacker causes lost packets for the legitimate users. Because of lost packets, TCP sender is going to enter in RTO phase again.  In meanwhile, attacker resend packets again during the RTO duration, so any user can get through it. Therefore, attacker synchronizes with the RTO period and in this way the attacker can overcontrol the legitimate user TCP. In this paper, we focus on the detection of Low Rate Denial of Service attacks explaining the mechanisms how these attacks are effective and how they can damage the security of the computers networks. We use the Fisher statistics methods for detection of the LR DoS attacks. Our results show that these attacks are effectively identified by using Fisher vector and Fisher statistical methods for one dominant periodically component as in the case of these attacks. Our paper aims to identify and to detect LR DoS attacks. We use statistical method to find the data that hiding in the process then, we use the Fisher vector method to identify the malicious data. In addition, we are going to analyze and simulate all flows in a computer network by using Matlab. 
AU  - Yasser R Salem
AU  - Paul Cotae
CY  - Washington, District of Columbia
DA  - 2018/04/06
PB  - ASEE Conferences
TI  - Analysis of the Low Rate of Denial of Service Attacks Detection by Using Statistical Fisher Methods
UR  - https://peer.asee.org/29454
DO  - 10.18260/1-2--29454
ER  -