scholarly journals Reinforcement-Learning-Based IDS for 6LoWPAN

2021 ◽  
Author(s):  
Aryan Mohammadi Pasikhani ◽  
Andrew John Clark ◽  
Prosanta Gope
Keyword(s):  
Reinforcement Learning ◽  
Low Power ◽  
Routing Protocol ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Resource Constrained ◽  
Lossy Networks ◽  
Constrained Environments ◽  
Operational Component

<p>The Routing Protocol for low power Lossy networks (RPL) is a critical operational component of low power wireless personal area networks using IPv6 (6LoWPANs). In this paper we propose a Reinforcement Learning (RL) based IDS to detect various attacks on RPL in 6LoWPANs, including several unaddressed by current research. The proposed scheme can also detect previously unseen attacks and the presence of mobile intruders. The scheme is well suited to the resource constrained environments of our target networks.</p><br>

scholarly journals Reinforcement-Learning-Based IDS for 6LoWPAN

2021 ◽  
Author(s):  
Aryan Mohammadi Pasikhani ◽  
Andrew John Clark ◽  
Prosanta Gope
Keyword(s):  
Reinforcement Learning ◽  
Low Power ◽  
Routing Protocol ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Resource Constrained ◽  
Lossy Networks ◽  
Constrained Environments ◽  
Operational Component

<p>The Routing Protocol for low power Lossy networks (RPL) is a critical operational component of low power wireless personal area networks using IPv6 (6LoWPANs). In this paper we propose a Reinforcement Learning (RL) based IDS to detect various attacks on RPL in 6LoWPANs, including several unaddressed by current research. The proposed scheme can also detect previously unseen attacks and the presence of mobile intruders. The scheme is well suited to the resource constrained environments of our target networks.</p><br>

scholarly journals A Game Theory Based Congestion Control Protocol for Wireless Personal Area Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Chuang Ma ◽  
Jang-Ping Sheu ◽  
Chao-Xiang Hsu
Keyword(s):  
Game Theory ◽  
Low Power ◽  
Routing Protocol ◽  
Packet Loss ◽  
Loss Rate ◽  
Personal Area Networks ◽  
Network Congestion ◽  
Wireless Personal Area Networks ◽  
Lossy Networks ◽  
Hop Count

In wireless sensor networks (WSNs), the presence of congestion increases the ratio of packet loss and energy consumption and reduces the network throughput. Particularly, this situation will be more complex in Internet of Things (IoT) environment, which is composed of thousands of heterogeneous nodes. RPL is an IPv6 routing protocol in low power and lossy networks standardized by IETF. However, the RPL can induce problems under network congestion, such as frequently parent changing and throughput degradation. In this paper, we address the congestion problem between parent nodes and child nodes in RPL-enabled networks, which typically consist of low power and resource constraint devices. To mitigate the effect of network congestion, we design a parent-change procedure by game theory strategy, by which the child nodes can change next hop neighbors toward the sink. Comparing to the ContikiRPL implementation, the simulation results show that our protocol can achieve more than two times improvement in throughput and reduce packet loss rate with less increasing of average hop count.

scholarly journals Enhancing Energy Saving in Smart Farming through Aggregation and Partition Aware IoT Routing Protocol

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2760 ◽  
Author(s):  
Karim Fathallah ◽  
Mohamed Abid ◽  
Nejib Ben Hadj-Alouane
Keyword(s):  
Low Power ◽  
Energy Saving ◽  
Routing Protocol ◽  
Precision Agriculture ◽  
Routing Algorithm ◽  
High Energy ◽  
Sensor Nodes ◽  
Personal Area Networks ◽  
Lossy Networks ◽  
Smart Farming

Internet of things (IoT) for precision agriculture or Smart Farming (SF) is an emerging area of application. It consists essentially of deploying wireless sensor networks (WSNs), composed of IP-enabled sensor nodes, in a partitioned farmland area. When the surface, diversity, and complexity of the farm increases, the number of sensing nodes increases, generating heavy exchange of data and messages, and thus leading to network congestion, radio interference, and high energy consumption. In this work, we propose a novel routing algorithm extending the well known IPv6 Routing Protocol for Low power and Lossy Networks (RPL), the standard routing protocol used for IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN). It is referred to as the Partition Aware-RPL (PA-RPL) and improves the performance of the standard RPL. In contrast to RPL, the proposed technique builds a routing topology enabling efficient in-network data aggregation, hence dramatically reducing data traffic through the network. Performance analysis of a typical/realistic precision agriculture case, considering the potato pest prevention from the well-known late blight disease, shows that PA-RPL improves energy saving up to 40 % compared to standard RPL.

scholarly journals Acknowledgement Based Technique for Detection of the Wormhole Attack in RPL Based Internet of Things Networks

2019 ◽  
Vol 8 (S3) ◽  
pp. 100-104
Author(s):  
Vikram Neerugatti ◽  
A. Rama Mohan Reddy
Keyword(s):  
Internet Of Things ◽  
Routing Protocol ◽  
Advanced Technology ◽  
Delivery Ratio ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Lossy Networks ◽  
Wormhole Attack ◽  
Novel Approach ◽  
Selective Forwarding

Internet of Things (IoT) is the advanced technology, were the constrained nodes/things (all the objects around us such as chair, home, car, keys, etc.) will be connected to the internet to form a network, for sharing and monitoring the data, remotely. RPL (IPv6 Routing Protocol for Low Power and Lossy networks) is a routing protocol particularly designed for the constrained (low powered, low computation, less size, etc.) networks with the protocol 6LoWPAN (IPv6 Low Powered wireless Personal Area Networks). Due to the constrained behaviour of the RPL protocol, it will leads to many RPL routing attacks such as Sinkhole, Black hole, Wormhole, Selective forwarding, rank attacks, etc. This paper was focused on the Wormhole attack. The Wormhole attack will select the packets from one location and drops those packets in some other location (malicious) by forming the Tunnelling. To detect this attack here proposed and implemented a novel approach called (ADWA). Acknowledgement based technique for detection of the wormhole attack in RPL based Internet of Things networks. This approach was shown efficient results with the Telosb sky emulator nodes in the Contiki Cooja simulator, in terms of the Packet delivery ratio, delay and detection of wormhole attack.

scholarly journals LC-DEX: Lightweight and Efficient Compressed Authentication Based Elliptic Curve Cryptography in Multi-Hop 6LoWPAN Wireless Sensor Networks in HIP-Based Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7348
Author(s):  
Balkis Bettoumi ◽  
Ridha Bouallegue
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Denial Of Service ◽  
Security Requirements ◽  
Distribution Model ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Lossy Networks ◽  
Distribution Models ◽  
Constrained Devices

The high level of security requirements and low capabilities of constrained devices that are connected to the Internet of Things (IoT) constitute a new challenge in terms of proposing an authentication solution that deals with the problem of energy constraints. The Host Identity Protocol Diet EXchange (HIP DEX) is primarily designed to be suitable for constrained devices and designed to be resistant to Denial of Service (DoS) and man-in-the-middle (MITM) attacks. In this paper, we propose an efficient saving energy solution to secure end-to-end (E2E) communications based on the compression of the IPv6 over Low Power Wireless Personal Area Networks (6LoWPAN) header for HIP DEX packets. We implement our solution in an IoT based-WSN over Constrained Application Protocol (CoAP) in the application layer and Routing Protocol for Low power and lossy networks (RPL) in the routing layer. We also propose a novel distribution model that minimizes the number of signaling messages. Both proposed compression and distribution models for HIP DEX combined with an original implementation of an opportunistic association establishment of the handshake, constitute an efficient security solution for IoT. We called our solution Lightweight Compressed HIP DEX in the IoT (LC-DEX).

scholarly journals Routing in IPv6 over Low-Power Wireless Personal Area Networks (6LoWPAN): A Survey

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Vinay Kumar ◽  
Sudarshan Tiwari
Keyword(s):  
Low Power ◽  
Routing Protocol ◽  
Routing Protocols ◽  
Ieee 802.15.4 ◽  
Routing Algorithm ◽  
Personal Area Networks ◽  
Wireless Personal Area Networks ◽  
Data Link ◽  
Ieee 802.15.4 Standard ◽  
Routing Tables

6LoWPANs (IPv6-based Low-Power Personal Area Networks) are formulated by devices that are compatible with the IEEE 802.15.4 standard. To moderate the effects of network mobility, the Internet Protocol (IP) does not calculate routes; it is left to a routing protocol, which maintains routing tables in the routers. 6LowPAN uses an adaptation layer between the network (IPv6) and data link layer (IEEE802.15.4 MAC) to fragment and reassemble IPv6 packets. The routing in 6LoWPAN is primarily divided on the basis of routing decision taken on adaptation or network layer. The objective of this paper is to present a state-of-the-art survey of existing routing protocols: LOAD, M-LOAD, DYMO-Low, Hi-Low, Extended Hi-Low, and S-AODV. These routing protocols have compared on the basis of different metric like energy consumption, memory uses, mobility, scalability, routing delay, an RERR message, a Hello message, and local repair. We have also presented the taxonomy of routing requirement; parameter for evaluating routing algorithm, and it was found that the routing protocol has its own advantages depending upon the application where it is used.

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