With
the advent of the "Internet of Things," the demand for detection of
network attacks has skyrocketed (or IoT). Users have grown accustomed to
Internet of Things (IoT) devices. Because of the increased device growth,
security measures have been prioritized in the development cycle of IoT
devices. The primary goal of incorporating security into IoT deployments is to
provide a more secure domain or environment for seamless activities and data
privacy in the face of malicious attacks. The physical interfaces of network
devices are the most vulnerable to vulnerabilities. assessing and analyzing
attacks in terms of volume and severity, and developing counter-capabilities in
a step-by-step fashion function with limited computing resources, so preventing
DDoS attacks becomes difficult in such scenarios. Malware, phishing,
man-in-the-middle attack, DDoS attack, SQL injection, and zero-day exploit are
the most common cyber-attacks. DDoS attacks are classified into three types:
volume-based attacks, protocol attacks, and application layer attacks, and are
commonly used to degrade the performance of servers or networks. The
experimental results demonstrate intrusion detection and prevention methods in
a wired environment. This work is intended to detect and prevent DDoS attacks
within a network in which one device serves as a server. the other as a target,
and with one host acting as a botnet and the other attempting to protect the
victim from attack. The botnet architecture is determined by replaying packet
captures with tcpreplay. Snort, Wireshark, and various other attack
implementation tools such as Kali Linux, Slowloris, Golden Eye, and others were
used. The network attack can be either internal or external. As a result, the
linked component becomes the victim. In wired mode, connections are made
through a centralized hub, allowing for faster detections. Wi-Fi is used in
wireless deployment to create a device LAN. Our approach examines threats,
vulnerabilities, attacks, and intrusion detection and prevention.
Author (S) Details
T. J. Jeyaprabha
Department of Electronics and Communication Engineering, Sri Venkateswara
College of Engineering, Chennai, Tamil Nadu, India.
Dr. G. Sumathi
Department of Information Technology, Sri Venkateswara College of Engineering,
Chennai, Tamil Nadu, India
S. Ahila
Department of Electronics and Communication Engineering, Sri Venkateswara
College of Engineering, Chennai, Tamil Nadu, India.
S. Deepika
Department of Electronics and Communication Engineering, Sri Venkateswara
College of Engineering, Chennai, Tamil Nadu, India.
P. Jaya Varshin
Department of Electronics and Communication Engineering, Sri Venkateswara
College of Engineering, Chennai, Tamil Nadu, India.
View Book :- https://stm.bookpi.org/NAER-V1/article/view/1916
