RIoT: A Routing Protocol for the Internet of Things†

2020 ◽  
Vol 63 (6) ◽  
pp. 958-973
Author(s):  
Muhammad Omer Farooq
Keyword(s):  
Internet Of Things ◽  
Routing Protocol ◽  
The Internet ◽  
Delivery Ratio ◽  
Network Partitioning ◽  
Memory Requirement ◽  
Lossy Networks ◽  
Control Overhead ◽  
The Impact ◽  
The Internet Of Things

Abstract The routing protocol for low-power and lossy networks (RPL) is a standard routing framework for Internet of Things (IoT). It supports multipoint-to-point (MP-to-P), point-to-point (P-to-P) and point-to-multipoint (P-to-MP) communications. It is known that RPL’s control overhead can result in the protocol’s poor performance in P-to-P and P-to-MP communications especially in its non-storing mode of operation. Here, we present a routing protocol for the Internet of Things (RIoT) that supports MP-to-P, P-to-P and P-to-MP communications. The protocol can construct P-to-P and P-to-MP routes with relatively lower control overhead. Another salient feature of RIoT is that it supports multiple gateways in the same network with an aim to reduce memory requirement for storing a forwarding table. Furthermore, RIoT is also capable of handling mobility-based IoT use cases. To facilitate communication among nodes connected to different gateways in the same network, here we also present an inter-gateway communication mechanism. We implemented RIoT in the Contiki operating system, and it is extensively evaluated using emulation and real testbed-based experiments. We analyzed the impact of the number of gateways, radio duty cycling (RDC) and mobility on the routing protocols’ performance. Our results demonstrate that either with or without RDC RIoT demonstrates statistically significantly better packet delivery ratio, per-packet end-to-end delay and control overhead compared to the RPL-based protocol. RIoT’s multi-gateway communication architecture substantially reduces the memory requirement to store a forwarding table. Our results also demonstrate that multiple gateways in a network reduce the network partitioning problem in mobile scenarios. Hence, RIoT also demonstrates better performance in mobile scenarios compared to the RPL-based protocol.

scholarly journals Detection and Mitigation of RPL Rank and Version Number Attacks in the Internet of Things: SRPL-RP

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 5997
Author(s):  
Zahrah A. Almusaylim ◽  
NZ Jhanjhi ◽  
Abdulaziz Alhumam
Keyword(s):  
Internet Of Things ◽  
Routing Protocol ◽  
Smart Cities ◽  
Real Life ◽  
Average Energy ◽  
The Internet ◽  
Delivery Ratio ◽  
Lossy Networks ◽  
Average Energy Consumption ◽  
The Internet Of Things

The rapid growth of the Internet of Things (IoT) and the massive propagation of wireless technologies has revealed recent opportunities for development in various domains of real life, such as smart cities and E-Health applications. A slight defense against different forms of attack is offered for the current secure and lightweight Routing Protocol for Low Power and Lossy Networks (RPL) of IoT resource-constrained devices. Data packets are highly likely to be exposed in transmission during data packet routing. The RPL rank and version number attacks, which are two forms of RPL attacks, can have critical consequences for RPL networks. The studies conducted on these attacks have several security defects and performance shortcomings. In this research, we propose a Secure RPL Routing Protocol (SRPL-RP) for rank and version number attacks. This mainly detects, mitigates, and isolates attacks in RPL networks. The detection is based on a comparison of the rank strategy. The mitigation uses threshold and attack status tables, and the isolation adds them to a blacklist table and alerts nodes to skip them. SRPL-RP supports diverse types of network topologies and is comprehensively analyzed with multiple studies, such as Standard RPL with Attacks, Sink-Based Intrusion Detection Systems (SBIDS), and RPL+Shield. The analysis results showed that the SRPL-RP achieved significant improvements with a Packet Delivery Ratio (PDR) of 98.48%, a control message value of 991 packets/s, and an average energy consumption of 1231.75 joules. SRPL-RP provided a better accuracy rate of 98.30% under the attacks.

scholarly journals Battery Drain Denial-of-Service Attacks and Defenses in the Internet of Things

2019 ◽  
Vol 2 ◽  
pp. 37-45 ◽  
Author(s):  
Philokypros P. Ioulianou ◽  
Vassilios G. Vassilakis ◽  
Michael D. Logothetis
Keyword(s):  
Internet Of Things ◽  
Routing Protocol ◽  
Denial Of Service ◽  
The Internet ◽  
Dos Attacks ◽  
Lossy Networks ◽  
Distributed Intrusion Detection ◽  
Iot Devices ◽  
The Impact ◽  
The Internet Of Things

IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL) is a popular routing protocol used in wireless sensor networks and in the Internet of Things (IoT). RPL was standardized by the IETF in 2012 and has been designed for devices with limited resources and capabilities. Open-source RPL implementations are supported by popular IoT operating systems (OS), such as ContikiOS and TinyOS. In this work, we investigate the possibility of battery drain Denial-of-Service (DoS) attacks in the RPL implementation of ContikiOS. In particular, we use the popular Cooja simulator and implement two types of DoS attacks, particularly version number modification and “Hello” flooding. We demonstrate the impact of these attacks on the power consumption of IoT devices. Finally, we discuss potential defenses relying on distributed intrusion detection modules.

Security Threats in the Internet of Things

2018 ◽  
pp. 147-178 ◽  
Author(s):  
Faiza Medjek ◽  
Djamel Tandjaoui ◽  
Imed Romdhani ◽  
Nabil Djedjig
Keyword(s):  
Internet Of Things ◽  
Routing Protocol ◽  
Communication Technologies ◽  
Physical World ◽  
The Internet ◽  
Lossy Networks ◽  
Key Characteristics ◽  
Pervasive Environment ◽  
And Control ◽  
The Internet Of Things

In the internet of things (IoT) vision, people, systems, and objects with sensing and/or actuating capabilities communicate to monitor and control the physical world. Nowadays, the IoT concept has attracted significant attention from different application domain such as healthcare and smart homes. Indeed, self-organization and self-configuration are key characteristics of IoT given that IoT represents a pervasive environment where objects are resource-constrained and communication technologies are very ubiquitous. These characteristics in addition to the vulnerability of objects themselves and of the communication channels make IoT more susceptible to malicious attacks. In this context, a deep analysis of IoT security breach and vulnerabilities is necessary. This chapter presents IoT requirements and existing threats as well as security protocols and mechanisms. It specifically analyzes existing and new threats against the IoT's routing protocol (the routing protocol for low-power and lossy networks: RPL) and presents intrusion detection solutions (IDS) to counter RPL attacks.

A Novel Insider Attack and Machine Learning Based Detection for the Internet of Things

2021 ◽  
Vol 2 (4) ◽  
pp. 1-23
Author(s):  
Morshed Chowdhury ◽  
Biplob Ray ◽  
Sujan Chowdhury ◽  
Sutharshan Rajasegarar
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Network Traffic ◽  
The Internet ◽  
Traffic Data ◽  
Lossy Networks ◽  
Insider Attack ◽  
Iot Devices ◽  
The Impact ◽  
The Internet Of Things

Due to the widespread functional benefits, such as supporting internet connectivity, having high visibility and enabling easy connectivity between sensors, the Internet of Things (IoT) has become popular and used in many applications, such as for smart city, smart health, smart home, and smart vehicle realizations. These IoT-based systems contribute to both daily life and business, including sensitive and emergency situations. In general, the devices or sensors used in the IoT have very limited computational power, storage capacity, and communication capabilities, but they help to collect a large amount of data as well as maintain communication with the other devices in the network. Since most of the IoT devices have no physical security, and often are open to everyone via radio communication and via the internet, they are highly vulnerable to existing and emerging novel security attacks. Further, the IoT devices are usually integrated with the corporate networks; in this case, the impact of attacks will be much more significant than operating in isolation. Due to the constraints of the IoT devices, and the nature of their operation, existing security mechanisms are less effective for countering the attacks that are specific to the IoT-based systems. This article presents a new insider attack, named loophole attack , that exploits the vulnerabilities present in a widely used IPv6 routing protocol in IoT-based systems, called RPL (Routing over Low Power and Lossy Networks). To protect the IoT system from this insider attack, a machine learning based security mechanism is presented. The proposed attack has been implemented using a Contiki IoT operating system that runs on the Cooja simulator, and the impacts of the attack are analyzed. Evaluation on the collected network traffic data demonstrates that the machine learning based approaches, along with the proposed features, help to accurately detect the insider attack from the network traffic data.

scholarly journals History-based consistency algorithm for the trickle-timer with low-power and lossy networks

2021 ◽  
Vol 11 (3) ◽  
pp. 2569
Author(s):  
Firas A. Albalas ◽  
Haneen Taamneh ◽  
Wail E. Mardini
Keyword(s):  
Power Consumption ◽  
Low Power ◽  
Routing Protocol ◽  
Convergence Time ◽  
Limited Resources ◽  
The Internet ◽  
Delivery Ratio ◽  
Lossy Networks ◽  
Main Components ◽  
The Internet Of Things

Recently, the internet of things (IoT) has become an important concept which has changed the vision of the Internet with the appearance of IPv6 over low power and lossy networks (6LoWPAN). However, these 6LoWPANs have many drawbacks because of the use of many devices with limited resources; therefore, suitable protocols such as the Routing Protocol for low power and lossy networks (RPL) were developed, and one of RPL's main components is the trickle timer algorithm, used to control and maintain the routing traffic frequency caused by a set of control messages. However, the trickle timer suffered from the short-listen problem which was handled by adding the listen-only period mechanism. This addition increased the delay in propagating transmissions and resolving the inconsistency in the network. However, to solve this problem we proposed the history based consistency algorithm (HBC), which eliminates the listen-only period based on the consistency period of the network. The proposed algorithm showed very good results. We measured the performance of HBC trickle in terms of convergence time; which was mainly affected, the power consumption and the packet delivery ratio (PDR). We made a comparison between the original trickle timer, the E-Trickle, the optimized trickle and our HBC trickle algorithm. The PDR and the power consumption showed in some cases better results under the HBC trickle compared to other trickle timers and in other cases the results were very close to the original trickle indicating the efficiency of the proposed trickle in choosing optimal routes when sending messages.

scholarly journals Energy Efficient Composite Metric Based Routing Protocol for Internet of Things

2020 ◽  
Vol 26 (11) ◽  
pp. 1366-1381
Author(s):  
Sathishkumar Natesan ◽  
Rajakumar Krishnan
Keyword(s):  
Internet Of Things ◽  
Low Power ◽  
Routing Protocol ◽  
Energy Efficient ◽  
Link Quality ◽  
Traffic Load ◽  
Delivery Ratio ◽  
Lossy Networks ◽  
Hop Count ◽  
Battery Discharge

The Routing Protocol for Low Power and Lossy Networks (RPL) is operated by gadgets comprised of many devices of embedded type with limited energy, memory as well as resources that do their process. The improvements in the life of the network and energy conservation are the key challenging features in Low Power and Lossy Networks (LLN). Obviously, the LLN has a key strategic part in routing. The Internet of Things (IoT) device is expected to make the apt choice. In LLN, the poor routing choice leads to traffic congestion, reduction in power as well as packet loss ratio. The task in the proposal analyzes Delay (D), Load (L) and Battery Discharge Index (BDI) pivoted Energy Efficient Composite Metric Routing (EECMR) protocol for LLN. The performance of the work in the proposal is evaluated by the COOJA simulator. It outperforms with respect to Network Lifetime (NL), Delay as well as Packet Delivery Ratio (PDR) contrasted to the routing metrics like Traffic Load (TL), Link Quality (LQ), Residual Energy (RE), RE-Battery Discharge Index (RE-BDI) and Hop Count (HC).

Interface Trends in Human Interaction, the Internet of Things, and Big Data

2018 ◽  
pp. 4210-4222
Author(s):  
William J. Gibbs
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Television News ◽  
Information Services ◽  
Human Interaction ◽  
The Internet ◽  
Media Convergence ◽  
The Impact ◽  
The Internet Of Things

In this chapter, I examine trends in today's news-orientated interfaces and the impact of digital interfaces on news consumption. Digital interfaces will be differentiated from traditional informational sources such as newspapers and television news. Additionally, I will explore several major characteristics or trends germane to today's news interfaces and their implications for how people consume news and, more generally, for how they transform information services: a) rapid innovation, b) interactivity, c) social, d) standardization, e) scale, f) media convergence and, g) the Internet of Things and Big Data.

Sign in / Sign up

Export Citation Format

Share Document