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Related Concept Videos

State Space Representation01:27

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Classification of Systems-II01:31

Classification of Systems-II

Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
Classification of Systems-I01:26

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
Linear time-invariant Systems01:23

Linear time-invariant Systems

A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be calculated...
First Order Systems01:21

First Order Systems

First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...

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Related Experiment Video

Updated: Jun 9, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

LAN attack detection using Discrete Event Systems.

Neminath Hubballi1, Santosh Biswas, S Roopa

  • 1Department of Computer Science and Engineering, Indian Institute of Technology, Guwahati 781039, India. neminath@cse.iitg.ernet.in

ISA Transactions
|September 1, 2010
PubMed
Summary

This study introduces a Discrete Event System (DES) approach for an Intrusion Detection System (IDS) to detect Address Resolution Protocol (ARP) spoofing in local area networks (LANs). The method effectively identifies malicious IP-MAC pairings without altering existing network configurations.

Related Experiment Videos

Last Updated: Jun 9, 2026

Design and Analysis for Fall Detection System Simplification
08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Area of Science:

  • Computer Science
  • Network Security
  • Cybersecurity

Background:

  • Address Resolution Protocol (ARP) is stateless, accepting IP-MAC pairings without verification, making it vulnerable to spoofing attacks in Local Area Networks (LANs).
  • Existing solutions for ARP spoofing often require static IP-MAC assignments, ARP modifications, or host operating system patching, posing practical implementation challenges.

Purpose of the Study:

  • To propose a novel Intrusion Detection System (IDS) for LANs using a Discrete Event System (DES) approach to detect ARP spoofing attacks.
  • To develop a method that does not necessitate static IP-MAC configurations or alterations to the existing ARP protocol or host systems.

Main Methods:

  • A DES model is constructed for LANs, analyzing sequences of ARP packets under both normal and compromised (spoofed) conditions.
  • Active ARP probing is employed to differentiate between normal and spoofed ARP events, generating distinct DES models.
  • A DES detector analyzes observed ARP events to ascertain the network's operational status (normal or compromised), minimizing probing traffic by focusing on undetermined IP-MAC pairs.

Main Results:

  • The proposed DES approach successfully models and detects ARP spoofing by analyzing ARP event sequences.
  • The technique effectively distinguishes between genuine and spoofed IP-MAC pairs, storing detected spoofed pairs for identifying subsequent attacks like Man-in-the-Middle (MiTM) and Denial of Service (DoS).
  • The scheme was validated in a testbed, demonstrating its efficacy in a practical environment.

Conclusions:

  • The Discrete Event System (DES) approach offers a viable and effective Intrusion Detection System (IDS) for identifying Address Resolution Protocol (ARP) spoofing in LANs.
  • This method provides a robust security enhancement for local area networks without imposing restrictive configurations or requiring modifications to core network protocols or host systems.
  • The developed IDS can detect various spoofing-triggered attacks, thereby improving overall network security and resilience.