Intrusion Detection System for Botnet Attacks in Wireless Networks Using Hybrid Detection Method Based on DNS

2012 ◽  
pp. 689-702 ◽  
Author(s):  
Raimundo Pereira da Cunha Neto ◽  
Zair Abdelouahab ◽  
Valéria Priscilla Monteiro Fernandes ◽  
Bruno Rodrigues Froz
Keyword(s):  
Wireless Networks ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection Method ◽  
Detection System ◽  
Hybrid Detection

scholarly journals An Automata Based Intrusion Detection Method for Internet of Things

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Yulong Fu ◽  
Zheng Yan ◽  
Jin Cao ◽  
Ousmane Koné ◽  
Xuefei Cao
Keyword(s):  
Open Access ◽  
Internet Of Things ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection Method ◽  
Detection System ◽  
Network Communication ◽  
5G Networks ◽  
Machine To Machine ◽  
Security Of Iot

Internet of Things (IoT) transforms network communication to Machine-to-Machine (M2M) basis and provides open access and new services to citizens and companies. It extends the border of Internet and will be developed as one part of the future 5G networks. However, as the resources of IoT’s front devices are constrained, many security mechanisms are hard to be implemented to protect the IoT networks. Intrusion detection system (IDS) is an efficient technique that can be used to detect the attackers when cryptography is broken, and it can be used to enforce the security of IoT networks. In this article, we analyzed the intrusion detection requirements of IoT networks and then proposed a uniform intrusion detection method for the vast heterogeneous IoT networks based on an automata model. The proposed method can detect and report the possible IoT attacks with three types: jam-attack, false-attack, and reply-attack automatically. We also design an experiment to verify the proposed IDS method and examine the attack of RADIUS application.

scholarly journals A hybrid intrusion detection system for virtual jamming attacks on wireless networks

Measurement ◽  
2017 ◽  
Vol 109 ◽  
pp. 79-87 ◽  
Author(s):  
Diego Santoro ◽  
Ginés Escudero-Andreu ◽  
Konstantinos G. Kyriakopoulos ◽  
Francisco J. Aparicio-Navarro ◽  
David J. Parish ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
Jamming Attacks

Physical Layer Intrusion Detection System Based on Channel Prediction for Wireless Networks

2014 ◽  
Vol 556-562 ◽  
pp. 2711-2714
Author(s):  
Soo Young Shin ◽  
Isnan Arif Wicaksono
Keyword(s):  
Wireless Networks ◽  
Wireless Communication ◽  
Intrusion Detection ◽  
False Alarm ◽  
Intrusion Detection System ◽  
Time Slot ◽  
Detection System ◽  
Physical Layer ◽  
False Alarm Ratio ◽  
Channel Prediction

Wireless Networks suffer from many constraints including wireless communication channel, internal and external attacks, security becomes the main concern to deal with such kind of networks. Therefore, an intrusion detection system (IDS) is required that monitors the network, detects misbehavior or anomalies and notifies other nodes in the network to avoid or punish the misbehaving nodes. This paper describes the simple method to detect the intruder in wireless communication system based on physical layer characteristics. Channel prediction method is used in receiver part to predict the transmission channel for the next time slot. Then, in the next time slot the result is compared with the actual value of channel from the channel estimation. Number of detection and false alarm ratio is measured as performance matrices of the simulation. Based on simulation result, the proposed intrusion detection system give high detection ratio and low false alarm ratio for given threshold.

Intrusion Detection System for Wireless Networks

2021 ◽  
Author(s):  
Baimukashev Rashid ◽  
Kamalkhan Artykbayev ◽  
Kazybek Adam ◽  
Begenov Mels
Keyword(s):  
Wireless Networks ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System

Research of IOT Intrusion Detection System Based on Hidden Markov Model

2012 ◽  
Vol 263-266 ◽  
pp. 2949-2952
Author(s):  
Xiu Mei Wei ◽  
Xue Song Jiang ◽  
Xin Gang Wang
Keyword(s):  
Time Delay ◽  
Internet Of Things ◽  
Intrusion Detection ◽  
Markov Model ◽  
Hidden Markov Model ◽  
Intrusion Detection System ◽  
Detection Method ◽  
Hidden Markov ◽  
Detection System ◽  
Markov State

Along with the development of Internet of Things (IOT), there are a lot of increasingly serious security problems. The traditional intrusion detection method cannot adapt to the requirement of IOT. In this paper we advance a new intrusion detection method which can adapt to IOT. It is based on Hidden Markov Model (HMM), which is named as Hidden Markov state time delay sequence embedding (HMMSTdse) method.

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