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Related Concept Videos

Wald-Wolfowitz Runs Test II01:17

Wald-Wolfowitz Runs Test II

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The Wald-Wolfowitz runs test, commonly referred to as the runs test, is a nonparametric test used to assess the randomness of ordered data. The test evaluates the number of runs, which are consecutive sequences of similar elements within the data. If the number of runs is significantly higher or lower than expected, the data is considered non-random, indicating a detectable pattern or structure.
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Wald-Wolfowitz Runs Test I01:17

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The Wald-Wolfowitz test, also known as the runs test, is a nonparametric statistical test used to assess the randomness of a sequence of two different types of elements (e.g., positive/negative values, successes/failures). It examines whether the order of the elements in a sequence is random or if there is a pattern or trend present. This nonparametric test applies to any ordered data despite the population and sample data distribution, even if a higher sample size is available.
The test works...
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In mechanical engineering, the stability of systems under various forces is critical for designing durable and efficient structures. One fundamental way to explore these concepts is by analyzing systems like two rods connected at a pivot point, O, with a torsional spring of spring constant k at the pivot point. This system is similar in appearance to a scissor jack used to change tires on a car. In this case, the arms of the linkage (equivalent to the rods in this system) are entirely vertical,...
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Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
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Fast Decoupled and DC Powerflow01:24

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The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
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Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
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  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Distributed Computing And Systems Software
  9. Cyberphysical Systems And Internet Of Things
  11. Performance Evaluation Of Chaosfortress Lightweight Cryptographic Algorithm For Data Security In Water And Other Utility Management.
  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Distributed Computing And Systems Software
  9. Cyberphysical Systems And Internet Of Things
  11. Performance Evaluation Of Chaosfortress Lightweight Cryptographic Algorithm For Data Security In Water And Other Utility Management.

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Performance Evaluation of ChaosFortress Lightweight Cryptographic Algorithm for Data Security in Water and Other Utility Management.

Rohit Raphael1,2, Ranjan Sarukkalige3, Sridharakumar Narasimhan2,4

  • 1School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth 6102, Australia.

Sensors (Basel, Switzerland)
|August 28, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

ChaosFortress, a new lightweight cryptographic algorithm, offers superior speed and security for Internet of Things (IoT) applications, particularly in protecting critical water utility data against cyber threats.

Keywords:
ArduinoIoTLoRaWDN

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Area of Science:

  • Cybersecurity
  • Cryptography
  • Internet of Things (IoT)

Background:

  • The Internet of Things (IoT) is increasingly integrated into daily life, generating vast data volumes.
  • Securing data from IoT-enabled utility management systems, like water distribution, is critical due to rising cyber threats.
  • Lightweight cryptographic algorithms are essential for resource-constrained IoT devices.

Purpose of the Study:

  • To evaluate the performance of the in-house developed ChaosFortress lightweight cryptographic algorithm.
  • To compare ChaosFortress against other leading lightweight cryptographic algorithms for IoT applications.
  • To assess the suitability of ChaosFortress for securing data in IoT utility management.

Main Methods:

  • Performance comparison of ChaosFortress with ACORN, Ascon, ChaChaPoly, Speck, tinyAES, and tinyECC.
WSN
cryptography
data security
  • Testing conducted on an Arduino and LoRa-based transmitter/receiver pair.
  • Evaluation using the NIST Statistical Test Suite (STS) for cryptographic randomness and performance.

    • Main Results:

    • ChaosFortress demonstrated comparable memory management to other algorithms.
    • ChaosFortress significantly outperformed five of the six compared algorithms in execution speed.
    • ChaosFortress achieved the fastest transmission times and excelled in NIST STS results.

    Conclusions:

    • ChaosFortress is highly suitable for Internet of Things (IoT) applications requiring efficient and secure data handling.
    • The algorithm's speed and strong performance in statistical tests make it a viable option for protecting critical infrastructure data.
    • ChaosFortress offers a promising solution for enhancing cybersecurity in resource-limited IoT environments.