Security Review in Internet of Things

Ali, Farhan; Khan, M. Sulaiman; Akhtar, Hassan

doi:10.11648/j.iotcc.20190703.14

Cited by 8 publications

(4 citation statements)

References 9 publications

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“…From the perspective of security and privacy, the IoT ecosystem survey is conducted in [43][44][45][46]. Authors from [43] present an exploration of the current IoT security research within 2016-2018, its developments and open questions.…”

Section: Literature Surveymentioning

confidence: 99%

“…In addition, they also mention the privacy protection approaches which mainly have to be modified to satisfy the users' right to privacy. Review of various IoT security environment and outlined the lack of a security tier in all of these models are discussed in [45]. Survey has been conducted in [46] to examine subsisted protocols and frameworks for securing communication in the IoT along with research challenges.…”

Section: Literature Surveymentioning

confidence: 99%

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Software-Defined Dew, Roof, Fog and Cloud (SD-DRFC) Framework for IoT Ecosystem: The Journey, Novel Framework Architecture, Simulation, and Use Cases

2021

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The Internet of Things (IoT) has become one of the most known terms in present times, reaching new levels and setting a trend in the world. Evidently, it is the future of connectivity which has turned physical objects into intelligent objects. Therefore, there has been a growing curiosity in the IoT field and this leads to the concept of IoT ecosystem. But the contemporary fragmented ecosystem of regulations, technologies, and systems slows IoT deployments. Thus, we consider multi-tiered computational infrastructure which would be feasible to provide services from the nearest possible location of end devices. To mitigate multi-tier infrastructure issues, Software-Defined Networking (SDN) steps in. The journey behind SDN-supported multi-tier computational infrastructure can be understood from this paper's elaborate study. Next, a comparative analysis on dew, roof, fog and cloud is conducted and the impact of internet on these computing paradigms is briefly explained. Then a novel framework termed "SD-DRFC (Software-Defined Dew, Roof, Fog and Cloud computing)" is proposed for today's IoT ecosystem. The role and functionality of each tier of SD-DRFC framework are adequately explained. A use case focused on the SD-DRFC framework is then presented and simulated by utilizing iFogSim simulator. To evaluate the efficiency of the presented SD-DRFC framework, four QoS parameters (Latency, Network Usage, Cost, and Energy Consumption) are considered in this paper. When comparing the simulation results, the presented SD-DRFC framework performs much better than cloud-only implementation. The advantages and suitability of utilizing this proposed framework have been demonstrated by multiple use-cases which range from conceptual visions to existing running systems.

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Section: Literature Surveymentioning

confidence: 99%

Section: Literature Surveymentioning

confidence: 99%

Software-Defined Dew, Roof, Fog and Cloud (SD-DRFC) Framework for IoT Ecosystem: The Journey, Novel Framework Architecture, Simulation, and Use Cases

2021

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“…Okai et.al elaborates on the benefits and challenges of sensing in smart cities and their foreseen future and what features will characterize a smart city [30]. Advancements in wireless communication and computing technologies have propelled the use of cloud computing, the Internet of Things (IoT), and intelligent technologies to the next level [3,11]. The essence of IoT is the connection of devices through the internet, which enables connectivity among things (devices) or services and people [1,29,36].…”

Section: Related Workmentioning

confidence: 99%

Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country -- Sri Lanka

Munasinghe¹,

Pasindu²

2021

Preprint

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We propose how a developing country like Sri Lanka can benefit from privacyenabled machine learning techniques such as Federated Learning to detect road conditions using crowd-sourced data collection and proposed the idea of implementing a Digital Twin for the national road system in Sri Lanka. Developing countries such as Sri Lanka are far behind in implementing smart road systems and smart cities compared to the developed countries. The proposed work discussed in this paper matches the UN Sustainable Development Goal (SDG) 9: "Build Resilient Infrastructure, Promote Inclusive and Sustainable Industrialization and Foster Innovation". Our proposed work discusses how the government and private sector vehicles that conduct routine trips to collect crowd-sourced data using smartphone devices to identify the road conditions and detect where the potholes, surface unevenness (roughness), and other major distresses are located on the roads. We explore Mobile Edge Computing (MEC) techniques that can bring machine learning intelligence closer to the edge devices where produced data is stored and show how the applications of Federated Learning can be made to detect and improve road conditions. During the second phase of this study, we plan to implement a Digital Twin for the road system in Sri Lanka. We intend to use data provided by both Dedicated and Non-Dedicated systems in the proposed Digital Twin for the road system. As of writing this paper, and best to our knowledge, there is no Digital Twin system implemented for roads and other infrastructure systems in Sri Lanka. The proposed Digital Twin will be one of the first implementations of such systems in Sri Lanka. Lessons learned from this pilot project will benefit other developing countries who wish to follow the same path and make a data-driven decisions. Additionally, our intended work can be used as a blueprint for those countries planning to implement such systems.CCS Concepts: • Computer systems organization → Sensor networks; • Human-centered computing → Ubiquitous and mobile computing systems and tools.

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“…Spoofing attack: The objective of this attack is that an attacker can try to prove a sender-side that a dead node is strong or a weak path is strong. An adversary can remove messages flow against the dead nodes (Ali et al, 2019a;2019b).…”

Section: Related Workmentioning

confidence: 99%

Novel secret sharing scheme based on key transfer protocols in a wireless sensor network environment

al.¹

2020

Int. j. adv. appl. sci.

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Wireless sensor network (WSN) application is an emerging industry in the field of computer technology. WSN application plays a commercial role in different domains, such as military surveillance targeting, area monitoring, health care monitoring, environmental sensing, and data center monitoring. However, these applications face various problems, such as the lack of security protocols within devices as well as data transmission and communication issues in between sensors. That's why, in the current age, security is the focus of many works, and constructing powerful security protocols is very challenging. Researchers currently focus on user's confidentiality in WSNs environments to analyze problems using various approaches, claiming data security is the most salient concern for unauthorized entities. So, A WSN is a superior type of communication network because it shares data in special manners during the deployment of sensor nodes. Certain characteristics are unique to it. Secret sharing scheme is one of the most innovative and powerful schemes in the modern era of the cryptographic world, which consists of two basic parts, namely, distribution and reconstruction Unceremoniously, Secret Sharing Scheme is working on a unique player called dealer which contains the smallest size of every participant shared secret information. It is a very significant aspect when they distribute the secret, and it would be a small size of the share as needed for the energy-constrained WSNs under the comprehensive security application. Therefore, we presented a theoretically secure, novel secret sharing scheme (SSS) for WSN applications, especially for key transfer protocol.

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Security Review in Internet of Things

Cited by 8 publications

References 9 publications

Software-Defined Dew, Roof, Fog and Cloud (SD-DRFC) Framework for IoT Ecosystem: The Journey, Novel Framework Architecture, Simulation, and Use Cases

Software-Defined Dew, Roof, Fog and Cloud (SD-DRFC) Framework for IoT Ecosystem: The Journey, Novel Framework Architecture, Simulation, and Use Cases

Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country -- Sri Lanka

Novel secret sharing scheme based on key transfer protocols in a wireless sensor network environment

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