NexTech 2021 Congress
October 03, 2021 to October 07, 2021 - Barcelona, Spain

  • UBICOMM 2021, The Fifteenth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
  • ADVCOMP 2021, The Fifteenth International Conference on Advanced Engineering Computing and Applications in Sciences
  • SEMAPRO 2021, The Fifteenth International Conference on Advances in Semantic Processing
  • AMBIENT 2021, The Eleventh International Conference on Ambient Computing, Applications, Services and Technologies
  • EMERGING 2021, The Thirteenth International Conference on Emerging Networks and Systems Intelligence
  • DATA ANALYTICS 2021, The Tenth International Conference on Data Analytics
  • GLOBAL HEALTH 2021, The Tenth International Conference on Global Health Challenges
  • CYBER 2021, The Sixth International Conference on Cyber-Technologies and Cyber-Systems

SoftNet 2021 Congress
October 03, 2021 to October 07, 2021 - Barcelona, Spain

  • ICSEA 2021, The Sixteenth International Conference on Software Engineering Advances
  • ICSNC 2021, The Sixteenth International Conference on Systems and Networks Communications
  • CENTRIC 2021, The Fourteenth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services
  • VALID 2021, The Thirteenth International Conference on Advances in System Testing and Validation Lifecycle
  • SIMUL 2021, The Thirteenth International Conference on Advances in System Simulation
  • SOTICS 2021, The Eleventh International Conference on Social Media Technologies, Communication, and Informatics
  • INNOV 2021, The Tenth International Conference on Communications, Computation, Networks and Technologies
  • HEALTHINFO 2021, The Sixth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing

NetWare 2021 Congress
November 14, 2021 to November 18, 2021 - Athens, Greece

  • SENSORCOMM 2021, The Fifteenth International Conference on Sensor Technologies and Applications
  • SENSORDEVICES 2021, The Twelfth International Conference on Sensor Device Technologies and Applications
  • SECURWARE 2021, The Fifteenth International Conference on Emerging Security Information, Systems and Technologies
  • AFIN 2021, The Thirteenth International Conference on Advances in Future Internet
  • CENICS 2021, The Fourteenth International Conference on Advances in Circuits, Electronics and Micro-electronics
  • ICQNM 2021, The Fifteenth International Conference on Quantum, Nano/Bio, and Micro Technologies
  • FASSI 2021, The Seventh International Conference on Fundamentals and Advances in Software Systems Integration
  • GREEN 2021, The Sixth International Conference on Green Communications, Computing and Technologies

TrendNews 2021 Congress
November 14, 2021 to November 18, 2021 - Athens, Greece

  • CORETA 2021, Advances on Core Technologies and Applications
  • DIGITAL 2021, Advances on Societal Digital Transformation

 


ThinkMind // ICIMP 2018, The Thirteenth International Conference on Internet Monitoring and Protection // View article icimp_2018_1_30_30034


Cascading Three Step Approach for Anomaly Detection in Unsupervised Communication Meta Data of IP-based Internet of Things Devices

Authors:
Andreas Schäfer
Prof. Dr. Michael Massoth

Keywords: anomaly detection; internet of things; unsupervised machine learning; intrusion detection and prevention

Abstract:
Internet of Things (IoT) are globally connected devices which are able to collect and exchange information. The increasing usage of IoT-devices in industrial and private environments result in the need for higher security and constant surveillance of such devices. Since 2016 novel botnets, consisting only of IoT-devices, where observed to execute major Distributed Denial of Service (DDoS) attacks. Due to the autonomous nature of these IoT devices, a compromised device might never be detected by system administrators. This creates the need for continuous monitoring of IoT network traffic. A possible solution for this problem is the permanent monitoring of anomalies within the network traffic of the IoT devices. Anomaly Detection Systems (ADS) monitor the behavior of a system and flag significant deviations from the normal activity as anomalies. This paper presents a new three step approach for anomaly detection in unsupervised communication meta data by cascading X-means clustering, decision tree, and statistical analysis, in order to monitor and protect IoT networks.

Pages: 16 to 21

Copyright: Copyright (c) IARIA, 2018

Publication date: July 22, 2018

Published in: conference

ISSN: 2308-3980

ISBN: 978-1-61208-652-1

Location: Barcelona, Spain

Dates: from July 22, 2018 to July 26, 2018

SERVICES CONTACT
2010 - 2017 © ThinkMind. All rights reserved.
Read Terms of Service and Privacy Policy.