scholarly journals An intrusion detection system for the prevention of an active sinkhole routing attack in Internet of things

2019 ◽  
Vol 15 (11) ◽  
pp. 155014771988990 ◽  
Author(s):  
Sabeen Tahir ◽  
Sheikh Tahir Bakhsh ◽  
Rayan A Alsemmeari
Keyword(s):  
Internet Of Things ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Ad Hoc ◽  
Detection System ◽  
Base Station ◽  
Detection Techniques ◽  
On Demand ◽  
Distance Vector ◽  
Routing Attack

Internet of things (IoT) is a complex and massive wireless network, where millions of devices are connected together. These devices gather different types of data from different systems that transform human daily lives by modernizing home appliances, business, medicine, traveling, research, and so on. Security is a critical challenge for a stable IoT network, for instance, routing attacks, especially sinkhole attack is a severe attack which has the capability to direct network data toward the intruder, and it can also disrupt and disconnect the devices from their network. The IoT needs multi-facet security solutions where network communication is protected with integrity, confidentiality, and authentication verification services. Therefore, the IoT network should be secured against intrusions and disruptions; the data exchanged throughout the network should be an encrypted form. In this article, an intrusion detection system for the prevention of an active sinkhole routing attack (PASR) in IoT is presented. The proposed PASR solves the problem of the sinkhole attack; for this purpose, the whole network is divided into the clusters of IoT. All the IoT devices are connected to their respective gateways. The gateway devices are equipped with an intrusion detection system. The intrusion detection system activates intrusion analyzer to detect anomalies in the context of ad hoc on-demand distance vector protocol. The base station is the main device that is responsible to receive data from all devices. Therefore, it detects and prevents sinkhole attacks; the base station keeps the record of all active devices and their possible links. The PASR is implemented and compared with the existing intrusion detection techniques ad hoc on-demand distance vector, and dual attack detection for black and gray hole attack. It was observed from the simulation results that the PASR outperforms in terms of data packet delivery, energy consumption, the detection rate of sinkhole attack, and routing overhead.

scholarly journals A New Intrusion Detection System Based on KNN Classification Algorithm in Wireless Sensor Network

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Wenchao Li ◽  
Ping Yi ◽  
Yue Wu ◽  
Li Pan ◽  
Jianhua Li
Keyword(s):  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Intrusion Detection ◽  
Sensor Network ◽  
Intrusion Detection System ◽  
Ad Hoc ◽  
Nearest Neighbor ◽  
Detection System ◽  
Wireless Sensor ◽  
On Demand

The Internet of Things has broad application in military field, commerce, environmental monitoring, and many other fields. However, the open nature of the information media and the poor deployment environment have brought great risks to the security of wireless sensor networks, seriously restricting the application of wireless sensor network. Internet of Things composed of wireless sensor network faces security threats mainly from Dos attack, replay attack, integrity attack, false routing information attack, and flooding attack. In this paper, we proposed a new intrusion detection system based onK-nearest neighbor (K-nearest neighbor, referred to as KNN below) classification algorithm in wireless sensor network. This system can separate abnormal nodes from normal nodes by observing their abnormal behaviors, and we analyse parameter selection and error rate of the intrusion detection system. The paper elaborates on the design and implementation of the detection system. This system has achieved efficient, rapid intrusion detection by improving the wireless ad hoc on-demand distance vector routing protocol (Ad hoc On-Demand Distance the Vector Routing, AODV). Finally, the test results show that: the system has high detection accuracy and speed, in accordance with the requirement of wireless sensor network intrusion detection.

Hardware Implementation of Intrusion Detection System for Ad-Hoc Network

2016 ◽  
Vol 5 (3) ◽  
pp. 158
Author(s):  
Reji Mano ◽  
P.C. Kishore Raja ◽  
Christeena Joseph ◽  
Radhika Baskar
Keyword(s):  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Ad Hoc Network ◽  
Hardware Implementation ◽  
Ad Hoc ◽  
New Technologies ◽  
Detection System ◽  
Delivery Ratio ◽  
On Demand ◽  
Distance Vector

<p>New technologies have been developed in wireless adhoc network need more security. To widespread the adhoc networks we turn in the attention of wireless hand held device mobile phones communicate with short distance using wireless lan card or Bluetooth. The performance of mobile phone are improved greatly for last few years .so security is more important for mobile networks In this paper  hardware implementation of single hop ad-hoc network is implemented and analysed using microcontroller. The protocol implemented in this paper is primarily based on, Ad hoc On-Demand Distance Vector routing. We adopt On Demand Distance Vector routing solely based on source routing and “On Demand” process, so each packet does not have to transmit any periodic routing information. We implemented   intrusion detection system with five different nodes and the performance parameters like packet delivery ratio, throughput, delay are computed with attacker and without attacker and on demand distance vector routing protocols is proposed to implement in hardware using Zigbee</p>

Hybrid Intrusion Detection Framework for Ad hoc networks

2016 ◽  
Vol 10 (4) ◽  
pp. 1-32 ◽  
Author(s):  
Abdelaziz Amara Korba ◽  
Mehdi Nafaa ◽  
Salim Ghanemi
Keyword(s):  
Intrusion Detection ◽  
Anomaly Detection ◽  
Ad Hoc Networks ◽  
Intrusion Detection System ◽  
Ad Hoc ◽  
Detection System ◽  
Security Framework ◽  
Detection Techniques ◽  
Wide Range ◽  
Hoc Networks

In this paper, a cluster-based hybrid security framework called HSFA for ad hoc networks is proposed and evaluated. The proposed security framework combines both specification and anomaly detection techniques to efficiently detect and prevent wide range of routing attacks. In the proposed hierarchical architecture, cluster nodes run a host specification-based intrusion detection system to detect specification violations attacks such as fabrication, replay, etc. While the cluster heads run an anomaly-based intrusion detection system to detect wormhole and rushing attacks. The proposed specification-based detection approach relies on a set of specifications automatically generated, while anomaly-detection uses statistical techniques. The proposed security framework provides an adaptive response against attacks to prevent damage to the network. The security framework is evaluated by simulation in presence of malicious nodes that can launch different attacks. Simulation results show that the proposed hybrid security framework performs significantly better than other existing mechanisms.

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.

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