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Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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While designing structures exposed to non-uniform loads, it is crucial to consider the resultant force and its location. This resultant force is a single vector representing the net force applied due to the distributed load.
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Designing a structure involves a series of considerations, primarily the material's ultimate strength, calculated through tests that measure changes under increased force until the material reaches its breaking point or limit. The ultimate load, where the material breaks, is divided by its original cross-sectional area, resulting in the ultimate normal stress or strength. The ultimate shearing stress is another significant factor taken into account.
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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Design and analysis of DDoS mitigating network architecture.

Swati1, Sangita Roy2, Jawar Singh1

  • 1Department of Electrical Engineering, Indian Institute of Technology Patna, Patna, Bihar India.

International Journal of Information Security
|December 6, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel network architecture using Physically Unclonable Functions (PUFs) to combat Distributed Denial of Service (DDoS) attacks. The proposed system effectively mitigates volumetric DDoS threats, ensuring uninterrupted communication for legitimate users.

Keywords:
CapabilityDistributed denial of serviceNetwork securityPUF

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Engineering

Background:

  • Distributed Denial of Service (DDoS) attacks, particularly volumetric attacks, pose a significant threat to e-commerce and online services.
  • Current reactive filtering methods for DDoS mitigation are often insufficient and complex.
  • Physically Unclonable Functions (PUFs) offer a promising hardware-based security solution.

Purpose of the Study:

  • To propose a novel network architecture for mitigating DDoS attacks.
  • To leverage Physically Unclonable Functions (PUFs) for enhanced network security.
  • To reduce computational overhead in security mechanism implementation.

Main Methods:

  • A new network architecture is proposed, utilizing Transient Effect Ring Oscillator PUFs.
  • Routers in the proposed architecture generate and verify capabilities using PUFs.
  • Simulations were conducted using the open-source Network Simulator (NS-3) for large-scale testing.

Main Results:

  • The proposed architecture effectively mitigates DDoS attacks, particularly volumetric types.
  • Hardware-based capability generation using PUFs significantly reduces computational overhead.
  • The system provides the destination with complete control over incoming traffic.
  • Network throughput remained largely unaffected even with 80% attacker traffic.

Conclusions:

  • The novel PUF-based network architecture offers an efficient and robust solution against DDoS attacks.
  • This hardware-based approach enhances security while maintaining high network performance.
  • The proposed system ensures uninterrupted service for legitimate users during attack events.