Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Prevention of Further Absorption of Poison01:14

Prevention of Further Absorption of Poison

824
In cases of acute poisoning, the primary objective is to prevent further absorption of the toxic substance into the body. Immediate interventions using various decontamination techniques targeting the gastrointestinal (GI) tract can achieve this. Decontamination is crucial to prevent poison from entering the systemic circulation, which involves washing affected areas with water and mild soap and removing contaminated clothing. Once external decontamination is done, attention must be turned to...
824
Antidotes01:17

Antidotes

649
Antidotes are medicinal substances used to counteract the harmful effects of toxins or drugs in the body. They function in various ways, each uniquely designed to combat specific toxic compounds.
Specific antidotes operate by inhibiting the enzymes that control biochemical pathways, reducing the production of harmful metabolites.
An example of an antidote is atropine, which counteracts the detrimental effects of cholinesterase inhibitors. It achieves this by deactivating muscarinic receptors,...
649
Anticholinesterase Agents: Poisoning and Treatment01:26

Anticholinesterase Agents: Poisoning and Treatment

861
Anticholinesterases, also known as cholinesterase inhibitors, work by blocking the breakdown of acetylcholine, leading to its accumulation in the synaptic cleft. This accumulation indirectly enhances both muscarinic and nicotinic actions. These agents are classified as reversible or irreversible based on their mechanism of action.     
Irreversible agents form a strong bond with the cholinesterase enzyme, making it inactive. The breakdown of the phosphorylated enzyme is...
861
Enhanced Elimination of Poison01:26

Enhanced Elimination of Poison

514
Poison can be effectively removed from the gastrointestinal (GI) tract through various decontamination procedures.
Antidotes serve a crucial role in counteracting the effects of poison by inhibiting enzymes responsible for producing harmful drug metabolites. In some cases, these toxic metabolites can be neutralized by endogenous cosubstrates, which are maintained at specific concentrations to prevent interaction with cellular macromolecules and subsequent cell death.
Renal excretion is the...
514
Types of Toxins01:36

Types of Toxins

1.7K
Humans continually engage with an environment rich in potentially harmful chemicals. These are introduced to our bodies through inhalation, ingestion, or skin contact. These chemicals exist in various forms, such as air and environmental pollutants, agricultural chemicals, organic solvents, and heavy metals.
Air pollutants, primarily gases, pose significant threats to respiratory health, leading to conditions like hypoxia, lung cancer, and in extreme cases, death.
Environmental pollutants like...
1.7K
Toxic Reactions: Overview01:26

Toxic Reactions: Overview

978
When toxic substances penetrate the human body, they disseminate to various tissues, undergoing metabolic changes. This process yields reactive metabolites that may covalently bind with specific target molecules, resulting in toxicity.
Toxicity falls into two primary categories: local and systemic.
Local toxicity appears at the exposure site, such as protein denaturation caused by caustic substances.
In contrast, systemic toxicity requires the toxic agent's absorption and distribution,...
978

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A Survey on Reduction of Energy Consumption in Fog Networks-Communications and Computations.

Sensors (Basel, Switzerland)·2024
Same author

Communication and Computing Task Allocation for Energy-Efficient Fog Networks.

Sensors (Basel, Switzerland)·2023
Same author

Federated Learning for 5G Radio Spectrum Sensing.

Sensors (Basel, Switzerland)·2022
Same author

Flexible, Brain-Inspired Communication in Massive Wireless Networks.

Sensors (Basel, Switzerland)·2020
Same author

Machine Learning for LTE Energy Detection Performance Improvement.

Sensors (Basel, Switzerland)·2019

Related Experiment Video

Updated: Jul 5, 2025

Detection of Toxin Translocation into the Host Cytosol by Surface Plasmon Resonance
10:41

Detection of Toxin Translocation into the Host Cytosol by Surface Plasmon Resonance

Published on: January 3, 2012

13.3K

Poisoning Attacks against Communication and Computing Task Classification and Detection Techniques.

Younes Salmi1, Hanna Bogucka1

  • 1Institute of Radiocommunications, Poznan University of Technology, 61-131 Poznan, Poland.

Sensors (Basel, Switzerland)
|January 23, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a hybrid k-means and k-nearest neighbors algorithm for communication and computing (2C) task offloading. It demonstrates effective anomaly detection against poisoning attacks, enhancing 2C task allocation security.

Keywords:
clusteringdata poisoningedge computingk-means algorithmk-nearest neighbors algorithm

More Related Videos

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

3.8K
Experimental Protocol for Detecting Cyanobacteria in Liquid and Solid Samples with an Antibody Microarray Chip
10:57

Experimental Protocol for Detecting Cyanobacteria in Liquid and Solid Samples with an Antibody Microarray Chip

Published on: February 7, 2017

9.1K

Related Experiment Videos

Last Updated: Jul 5, 2025

Detection of Toxin Translocation into the Host Cytosol by Surface Plasmon Resonance
10:41

Detection of Toxin Translocation into the Host Cytosol by Surface Plasmon Resonance

Published on: January 3, 2012

13.3K
Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

3.8K
Experimental Protocol for Detecting Cyanobacteria in Liquid and Solid Samples with an Antibody Microarray Chip
10:57

Experimental Protocol for Detecting Cyanobacteria in Liquid and Solid Samples with an Antibody Microarray Chip

Published on: February 7, 2017

9.1K

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Network Security

Background:

  • Machine learning enables communication and computing (2C) task offloading from edge devices to network servers.
  • Effective task offloading relies on accurate classification algorithms, which are vulnerable to adversarial attacks.
  • Poisoning attacks can degrade the performance of machine learning models used in 2C task allocation.

Purpose of the Study:

  • To investigate the impact of poisoning attacks on hybrid k-means and k-nearest neighbors algorithms for 2C task classification.
  • To develop and evaluate anomaly detection methods for identifying and mitigating poisoning attacks in 2C task offloading scenarios.
  • To assess the effectiveness of proposed countermeasures against specific poisoning attack types.

Main Methods:

  • Utilized a hybrid approach combining k-means and k-nearest neighbors for task classification.
  • Simulated noise-like jamming and targeted data feature falsification as poisoning attacks.
  • Implemented two anomaly detection techniques: noise training and silhouette score testing.
  • Evaluated classification performance and attack impact in feature areas with unclear decision boundaries.

Main Results:

  • Poisoning attacks significantly degrade classification accuracy, particularly near decision boundaries.
  • The proposed anomaly detection methods successfully identified poisoned samples.
  • The implemented countermeasures effectively mitigated the impact of the considered poisoning attacks.
  • The hybrid k-means and k'-nearest neighbors approach showed resilience when combined with anomaly detection.

Conclusions:

  • Machine learning-based 2C task offloading is vulnerable to sophisticated poisoning attacks.
  • Anomaly detection using noise training and silhouette score is crucial for securing ML-based 2C systems.
  • The proposed defense mechanisms enhance the robustness and reliability of 2C task allocation against adversarial threats.