Detection of distributed denial of service attacks using an ensemble of adaptive and hybrid neuro-fuzzy systems

PAR Kumar, S Selvakumar - Computer Communications, 2013 - Elsevier
… a base classifier for our research as Mamdani type ANFIS is … were overwhelmed by moderate
size DDoS attack. To avoid … ’ feature has been used to identify the incomplete TCP 3 way …

[PDF][PDF] A neuro-fuzzy system to detect IPv6 router alert option DoS packets.

S Abdulla - Int. Arab J. Inf. Technol., 2020 - academia.edu
… more research particularly in this crucial type of DoS attacksdegree of malicious actions
has showed that this research area demands for new detection mechanisms. One of possible

An intrusion detection method to detect denial of service attacks using error-correcting output codes and adaptive neuro-fuzzy inference

Z Majidian, S TaghipourEivazi, B Arasteh… - Computers and Electrical …, 2023 - Elsevier
… This research, is an effort to improve the accuracy of DoS attacks detection, compared to
previous … task using ECOC based hybrid classifiers is one of the main objectives of the research. …

Improving network resilience against DDoS attacks: A fuzzy TOPSIS-based quantitative assessment approach

SH Almotiri - Heliyon, 2024 - cell.com
… a high-level overview of the research materials and methods … The current study attempts to
close this gap by applying a … can find more effective solutions to the problem of DDoS attacks. …

Neuro-fuzzy based intrusion detection system for wireless sensor network

S Sinha, A Paul - Wireless personal communications, 2020 - Springer
study we design robust and efficient AIDS which use fuzzy … types of DoS attacks like Sybil
attack [13], Black hole attack etc… node from Table 4 and calculate the packet drop deviation of …

A new approach to intrusion detection based on an evolutionary soft computing model using neuro-fuzzy classifiers

AN Toosi, M Kahani - Computer communications, 2007 - Elsevier
… algorithms are investigated in this work. A set of parallel … Subtractive clustering has been
used to determine the number of rules … level of detection performance only for DoS and PROBE …

An intrusion detection system using exponential henry gas solubility optimization based deep neuro fuzzy network in MANET

SB Ninu - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
… security because it makes it possible to identify malicious … The following two steps are
performed in this research. The … into account DDoS attacks, black hole attacks, and attacks without …

PHY/MAC layer attack detection system using neuro-fuzzy algorithm for IoT network

S Rahman, S Al Mamun, MU Ahmed… - 2016 International …, 2016 - ieeexplore.ieee.org
… In this section we present an example for conceptual study. … to identify whether the considering
loT network is under attack or … network in under DoS attack. Table I deals with three major …

Electric Vehicles CAN Bus Cyber Attacks Detection Using Adaptive Neuro Fuzzy Inference System

OA Al Isawi, KA Al Jaafari, AS Al Sumaiti - IEEE Access, 2025 - ieeexplore.ieee.org
… DLC determines the byte length of the data field. … In this paper, the DOS attack objective
is to delay or obstruct the … The aim of this research was to develop and propose an EV CAN …

Attack detection in internet of things using software defined network and fuzzy neural network

F Farhin, I Sultana, N Islam, MS Kaiser… - 2020 joint 9th …, 2020 - ieeexplore.ieee.org
… In this research, an Adaptive Neuro-Fuzzy Inference System (… • This research proposed an
integrated SDN-IoT architecture … system detects the DDoS attack with the highest accuracy. …