scholarly journals A Secure Architecture For Resource Constrained Iot Environment

2021 ◽  
Vol 23 (09) ◽  
pp. 248-264
Author(s):  
Omar Farooq ◽  
◽  
Parminder Singh ◽  
Keyword(s):  
Significant Rise ◽  
Learning Approach ◽  
Data Traffic ◽  
Resource Constrained ◽  
Iot Applications ◽  
Digital Currency ◽  
Machine Learning Approach ◽  
Cloud Environments ◽  
Iot Devices ◽  
The Internet Of Things

One of the most exciting emerging concepts nowadays is the Internet of Things. However, digital currency has run into issues with how quickly it has been adopted. The number of IoT devices is increasing exponentially, and presently we have more than 20000 million objects connected to the network. The amount of data and complexity circulating across networks is also growing exponentially. IoT plays a measure role in this growth rate of IoT data traffic, resulting in a significant rise in data traffic reaching the cloud or data centers. The response time of IoT systems is affected by the growth of data traffic as this may not be appropriate for sensitive environments. This paper presents a framework and a machine learning approach for the data management of IoT edge-cloud environments with resource-constrained IoT applications. In this paper, the security aspect has also been discussed for the resource-constrained IoT framework.

scholarly journals Privacy and Security for Resource-Constrained IoT Devices and Networks: Research Challenges and Opportunities

Sensors ◽  
2019 ◽  
Vol 19 (8) ◽  
pp. 1935 ◽  
Author(s):  
Shancang Li ◽  
Houbing Song ◽  
Muddesar Iqbal
Keyword(s):  
Cyber Physical Systems ◽  
Resource Constrained ◽  
Privacy And Security ◽  
Physical Systems ◽  
Iot Applications ◽  
Wide Range ◽  
Challenges And Opportunities ◽  
Iot Devices ◽  
Application Requirements ◽  
The Internet Of Things

With the exponential growth of the Internet of Things (IoT) and cyber-physical systems (CPS), a wide range of IoT applications have been developed and deployed in recent years. To match the heterogeneous application requirements in IoT and CPS systems, many resource-constrained IoT devices are deployed, in which privacy and security have emerged as difficult challenges because the devices have not been designed to have effective security features.

scholarly journals Employing a Machine Learning Approach to Detect Combined Internet of Things Attacks against Two Objective Functions Using a Novel Dataset

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
John Foley ◽  
Naghmeh Moradpoor ◽  
Henry Ochenyi
Keyword(s):  
Machine Learning ◽  
Low Power ◽  
Vulnerability Analysis ◽  
Machine Learning Algorithms ◽  
Learning Approach ◽  
Lossy Networks ◽  
Global Networks ◽  
Machine Learning Approach ◽  
Iot Devices ◽  
Network Metrics

One of the important features of routing protocol for low-power and lossy networks (RPLs) is objective function (OF). OF influences an IoT network in terms of routing strategies and network topology. On the contrary, detecting a combination of attacks against OFs is a cutting-edge technology that will become a necessity as next generation low-power wireless networks continue to be exploited as they grow rapidly. However, current literature lacks study on vulnerability analysis of OFs particularly in terms of combined attacks. Furthermore, machine learning is a promising solution for the global networks of IoT devices in terms of analysing their ever-growing generated data and predicting cyberattacks against such devices. Therefore, in this paper, we study the vulnerability analysis of two popular OFs of RPL to detect combined attacks against them using machine learning algorithms through different simulated scenarios. For this, we created a novel IoT dataset based on power and network metrics, which is deployed as part of an RPL IDS/IPS solution to enhance information security. Addressing the captured results, our machine learning approach is successful in detecting combined attacks against two popular OFs of RPL based on the power and network metrics in which MLP and RF algorithms are the most successful classifier deployment for single and ensemble models.

scholarly journals Approaching the Communication Constraints of Ethereum-Based Decentralized Applications

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2647 ◽  
Author(s):  
Matevž Pustišek ◽  
Anton Umek ◽  
Andrej Kos
Keyword(s):  
Communication Networks ◽  
Security Requirements ◽  
Data Traffic ◽  
High Coverage ◽  
Related Data ◽  
Remote Server ◽  
Small Influence ◽  
Store Location ◽  
Iot Devices ◽  
The Internet Of Things

Those working on Blockchain technologies have described several new innovative directions and novel services in the Internet of things (IoT), including decentralized trust, trusted and verifiable execution of smart contracts, and machine-to-machine communications and automation that reach beyond the mere exchange of data. However, applying blockchain principles in the IoT is a challenge due to the constraints of the end devices. Because of fierce cost pressure, the hardware resources in these devices are usually reduced to the minimum necessary for operation. To achieve the high coverage needed, low bitrate mobile or wireless technologies are frequently applied, so the communication is often constrained, too. These constraints make the implementation of blockchain nodes for IoT as standalone end-devices impractical or even impossible. We therefore investigated possible design approaches to decentralized applications based on the Ethereum blockchain for the IoT. We proposed and evaluated three application architectures differing in communication, computation, storage, and security requirements. In a pilot setup we measured and analyzed the data traffic needed to run the blockchain clients and their applications. We found out that with the appropriate designs and the remote server architecture we can strongly reduce the storage and communication requirements imposed on devices, with predictable security implications. Periodic device traffic is reduced to 2400 B/s (HTTP) and 170 B/s (Websocket) from about 18 kB/s in the standalone-device full client architecture. A notification about a captured blockchain event and the corresponding verification resulted in about 2000 B of data. A transaction sent from the application to the client resulted in an about 500 B (HTTP) and 300 B message (Websocket). The key store location, which affects the serialization of a transaction, only had a small influence on the transaction-related data. Raw transaction messages were 45 B larger than when passing the JSON transaction objects. These findings provide directions for fog/cloud IoT application designers to avoid unrealistic expectations imposed upon their IoT devices and blockchain technologies, and enable them to select the appropriate system design according to the intended use case and system constraints. However, for very low bit-rate communication networks, new communication protocols for device to blockchain-client need to be considered.

scholarly journals Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 309 ◽  
Author(s):  
Hind Bangui ◽  
Said Rakrak ◽  
Said Raghay ◽  
Barbora Buhnova
Keyword(s):  
Cloud Computing ◽  
Leading Edge ◽  
Cloud Services ◽  
Future Research ◽  
Research Directions ◽  
Iot Applications ◽  
Future Research Directions ◽  
Iot Devices ◽  
The Internet Of Things

Cloud computing has significantly enhanced the growth of the Internet of Things (IoT) by ensuring and supporting the Quality of Service (QoS) of IoT applications. However, cloud services are still far from IoT devices. Notably, the transmission of IoT data experiences network issues, such as high latency. In this case, the cloud platforms cannot satisfy the IoT applications that require real-time response. Yet, the location of cloud services is one of the challenges encountered in the evolution of the IoT paradigm. Recently, edge cloud computing has been proposed to bring cloud services closer to the IoT end-users, becoming a promising paradigm whose pitfalls and challenges are not yet well understood. This paper aims at presenting the leading-edge computing concerning the movement of services from centralized cloud platforms to decentralized platforms, and examines the issues and challenges introduced by these highly distributed environments, to support engineers and researchers who might benefit from this transition.

scholarly journals Towards the Internet of Agents: An Analysis of the Internet of Things from the Intelligence and Autonomy Perspective

2018 ◽  
Vol 38 (1) ◽  
pp. 121-129 ◽  
Author(s):  
Pablo Antonio Pico Valencia ◽  
Juan A. Holgado-Terriza ◽  
Deiver Herrera-Sánchez ◽  
José Luis Sampietro
Keyword(s):  
Internet Of Things ◽  
Point Of View ◽  
The Internet ◽  
Iot Applications ◽  
Novel Approach ◽  
Iot Platforms ◽  
Iot Devices ◽  
Smart Industry ◽  
The Internet Of Things ◽  
Internet Of Agents

Recently, the scientific community has demonstrated a special interest in the process related to the integration of the agent-oriented technology with Internet of Things (IoT) platforms. Then, it arises a novel approach named Internet of Agents (IoA) as an alternative to add an intelligence and autonomy component for IoT devices and networks. This paper presents an analysis of the main benefits derived from the use of the IoA approach, based on a practical point of view regarding the necessities that humans demand in their daily life and work, which can be solved by IoT networks modeled as IoA infrastructures. It has been presented 24 study cases of the IoA approach at different domains ––smart industry, smart city and smart health wellbeing–– in order to define the scope of these proposals in terms of intelligence and autonomy in contrast to their corresponding generic IoT applications.

scholarly journals Towards Light Weight Cryptography Schemes for Resource Constraint Devices in IoT

2020 ◽  
Author(s):  
Santosh Pandurang Jadhav
Keyword(s):  
Processing Capacity ◽  
Light Weight ◽  
Resource Constrained ◽  
Computational Costs ◽  
Encryption And Decryption ◽  
Limited Power ◽  
Iot Devices ◽  
The Internet Of Things ◽  
Resource Constrained Devices ◽  
Constrained Devices

The Internet of Things (IoT) is becoming the most relevant next Internet-related revolution in the world of Technology. It permits millions of devices to be connected and communicate with each other. Beside ensuring reliable connectivity their security is also a great challenge. Abounding IoT devices have a minimum of storage and processing capacity and they usually need to be able to operate on limited power consumption. Security paths that depend maximum on encryption are not good for these resource constrained devices, because they are not suited for performing complicated encryption and decryption tasks quickly to be able to transmit data securely in real-time. This paper contains an overview of some of the cryptographic-based schemes related to communication and computational costs for resource constrained devices and considers some approaches towards the development of highly secure and lightweight security mechanisms for IoT devices.

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