Reference Hub

This research has been cited in:

Article
Multicast DIS attack mitigation in RPL-based IoT-LLNsJournal of Information Security and Applications10.1016/j.jisa.2021.102939
Article
Analysis of KDD-Cup’99, NSL-KDD and UNSW-NB15 Datasets using Deep Learning in IoTProcedia Computer Science10.1016/j.procs.2020.03.367
Article
Multi-Mobile Agent Trust Framework for Mitigating Internal Attacks and Augmenting RPL SecuritySensors10.3390/s22124539
Chapter
Efficient Physical-Layer Authentication with a Lightweight C&S ModelSignal and Information Processing, Networking and Computers10.1007/978-981-19-4775-9_3
Chapter
Intrusion Detection System for the IoT: A Comprehensive ReviewProceedings of the 11th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2019)10.1007/978-3-030-49345-5_25
Conference
A Study on the Efficiency of Intrusion Detection Systems in IoT Networks2023 International Conference on Computer, Information and Telecommunication Systems (CITS)10.1109/CITS58301.2023.10188799
Article
Fault-tolerant AI-driven Intrusion Detection System for the Internet of ThingsInternational Journal of Critical Infrastructure Protection10.1016/j.ijcip.2021.100436
Article
Improvement of attack detection performance on the internet of things with PSO-search and random forestJournal of Computational Science10.1016/j.jocs.2022.101833
Article
Internet of Things Applications, Security Challenges, Attacks, Intrusion Detection, and Future Visions: A Systematic ReviewIEEE Access10.1109/ACCESS.2021.3073408
Article
Internet of Things: Protocols, Applications and Security IssuesProcedia Computer Science10.1016/j.procs.2022.12.030
Conference
An Efficient Intelligent Intrusion Detection System for Internet of Things2021 14th International Conference on Developments in eSystems Engineering (DeSE)10.1109/DeSE54285.2021.9719551
Article
Hybrid Deep Learning Based Intrusion Detection System for Rpl Iot NetworkSSRN Electronic Journal 10.2139/ssrn.3994183
Article
Towards a Secure Internet of Things: A Comprehensive Study of Second Line Defense MechanismsIEEE Access10.1109/ACCESS.2020.3005643
Conference
A Lightweight Intelligent Authentication Approach for Intrusion Detection2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications10.1109/PIMRC48278.2020.9217112
Conference
Cluster-Based Intrusion Detection Method for Internet of Things2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA47632.2019.9035319
Conference
Application of Internet and BIM Technique in Smart City Construction Projects2023 International Conference on Data Science and Network Security (ICDSNS)10.1109/ICDSNS58469.2023.10245502
Conference
Machine Learning and Deep Learning Methods for Intrusion Detection Systems in IoMT: A survey2022 2nd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)10.1109/IRASET52964.2022.9738218
Article
CRIDS: Correlation and Regression-Based Network Intrusion Detection System for IoTSN Computer Science10.1007/s42979-021-00555-2
Conference
Edge-Based Intrusion Detection using Machine Learning Over the IoT Network2023 11th International Conference on Emerging Trends in Engineering & Technology - Signal and Information Processing (ICETET - SIP)10.1109/ICETET-SIP58143.2023.10151535
Article
Hybrid Deep Learning-Based Intrusion Detection System for RPL IoT NetworksJournal of Sensor and Actuator Networks10.3390/jsan12020021
Article
Intrusion Detection System Model for IoT Networks Using Ensemble LearningJournal of Interconnection Networks10.1142/S0219265921450080
Article
Factors Impacting Behavioral Intention of Users to Adopt IoT In IndiaInternational Journal of Information Security and Privacy10.4018/IJISP.2020100106
Article
Hybrid Distributed Deep-GAN Intrusion Detection System in IoT with AutoencoderInternational Journal of Fuzzy System Applications10.4018/IJFSA.312238
Chapter
IoTP an Efficient Privacy Preserving Scheme for Internet of Things EnvironmentResearch Anthology on Privatizing and Securing Data10.4018/978-1-7998-8954-0.ch023
Article
IoTP an Efficient Privacy Preserving Scheme for Internet of Things EnvironmentInternational Journal of Information Security and Privacy10.4018/IJISP.2020040107
Article
Why Do People Use IoT-Enabled Devices?International Journal of Technology and Human Interaction10.4018/IJTHI.313626

A Survey: Intrusion Detection Techniques for Internet of Things

Sarika Choudhary, Nishtha Kesswani

Source Title: International Journal of Information Security and Privacy (IJISP)13(1)

ISSN: 1930-1650|EISSN: 1930-1669|EISBN13: 9781522564607|DOI: 10.4018/IJISP.2019010107

Cite Article Cite Article

MLA

Choudhary, Sarika, and Nishtha Kesswani. "A Survey: Intrusion Detection Techniques for Internet of Things." IJISP vol.13, no.1 2019: pp.86-105. http://doi.org/10.4018/IJISP.2019010107

APA

Choudhary, S. & Kesswani, N. (2019). A Survey: Intrusion Detection Techniques for Internet of Things. International Journal of Information Security and Privacy (IJISP), 13(1), 86-105. http://doi.org/10.4018/IJISP.2019010107

Chicago

Choudhary, Sarika, and Nishtha Kesswani. "A Survey: Intrusion Detection Techniques for Internet of Things," International Journal of Information Security and Privacy (IJISP) 13, no.1: 86-105. http://doi.org/10.4018/IJISP.2019010107

Export Reference

Favorite Full-Issue Download

View Full Text HTML

View Full Text PDF

Abstract

The latest buzzword in internet technology nowadays is the Internet of Things. The Internet of Things (IoT) is an ever-growing network which will transform real-world objects into smart or intelligent virtual objects. IoT is a heterogeneous network in which devices with different protocols can connect with each other in order to exchange information. These days, human life depends upon the smart things and their activities. Therefore, implementing protected communications in the IoT network is a challenge. Since the IoT network is secured with authentication and encryption, but not secured against cyber-attacks, an Intrusion Detection System is needed. This research article focuses on IoT introduction, architecture, technologies, attacks and IDS. The main objective of this article is to provide a general idea of the Internet of Things, various intrusion detection techniques, and security attacks associated with IoT.

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.

Username or email: *

Password: *

Forgot individual login password?

Create individual account

A Survey: Intrusion Detection Techniques for Internet of Things

MLA

APA

Chicago

Export Reference

Abstract

Request Access