Video Experimental Relacionado
Updated: Sep 9, 2025
05:30
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
Published on: September 8, 2023
657
Evaluación del rendimiento del algoritmo criptográfico ligero ChaosFortress para la seguridad de los datos en la
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
Resumen
ChaosFortress, un nuevo algoritmo criptográfico ligero, ofrece una velocidad y seguridad superiores para las aplicaciones de Internet de las Cosas (IoT), particularmente en la protección de datos críticos de servicios públicos de agua contra amenazas cibernéticas.
Área de la Ciencia:
- Ciberseguridad
- Criptografía
- Internet de las cosas (IoT)
Sus antecedentes:
- El Internet de las Cosas (IoT) está cada vez más integrado en la vida cotidiana, generando grandes volúmenes de datos.
- La seguridad de los datos de los sistemas de gestión de servicios habilitados para IoT, como la distribución de agua, es crítica debido a las crecientes amenazas cibernéticas.
- Los algoritmos criptográficos ligeros son esenciales para los dispositivos IoT con recursos limitados.
Objetivo del estudio:
- Para evaluar el rendimiento del algoritmo criptográfico ligero ChaosFortress desarrollado internamente.
- Para comparar ChaosFortress con otros algoritmos criptográficos ligeros líderes para aplicaciones de IoT.
- Evaluar la idoneidad de ChaosFortress para asegurar los datos en la gestión de servicios de IoT.
Principales métodos:
- Comparación del rendimiento de ChaosFortress con ACORN, Ascon, ChaChaPoly, Speck, tinyAES y tinyECC.
- Pruebas realizadas en un par de transmisor/receptor basado en Arduino y LoRa.
- Evaluación utilizando el conjunto de pruebas estadísticas (STS) del NIST para la aleatoriedad y el rendimiento criptográfico.
Principales resultados:
- ChaosFortress demostró una gestión de la memoria comparable a otros algoritmos.
- ChaosFortress superó significativamente a cinco de los seis algoritmos comparados en velocidad de ejecución.
- ChaosFortress logró los tiempos de transmisión más rápidos y sobresalió en los resultados de NIST STS.
Conclusiones:
- ChaosFortress es muy adecuado para aplicaciones de Internet de las Cosas (IoT) que requieren un manejo de datos eficiente y seguro.
- La velocidad del algoritmo y su gran rendimiento en pruebas estadísticas lo convierten en una opción viable para proteger los datos de infraestructura crítica.
- ChaosFortress ofrece una solución prometedora para mejorar la ciberseguridad en entornos de IoT con recursos limitados.
Videos de Conceptos Relacionados
01:17Wald-Wolfowitz Runs Test II
315
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.
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
For binary data, runs are identified using symbols such as + and −, or equivalently, 1s and...
315
01:17Wald-Wolfowitz Runs Test I
740
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...
The test works...
740
01:14Stability of structures
248
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,...
248
01:25Multimachine Stability
227
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.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
227
01:24Fast Decoupled and DC Powerflow
282
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:
282
01:37Social Loafing
35.9K
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,...
35.9K