IoT Security Configurability with Security-by-Contract

Cybersecurity is one of the biggest challenges in the Internet of Things (IoT) domain, as well as one of its most embarrassing failures. As a matter of fact, nowadays IoT devices still exhibit various shortcomings. For example, they lack secure default configurations and sufficient security configurability. They also lack rich behavioural descriptions, failing to list provided and required services. To answer this problem, we envision a future where IoT devices carry behavioural contracts and Fog nodes store network policies. One requirement is that contract consistency must be easy to prove. Moreover, contracts must be easy to verify against network policies. In this paper, we propose to combine the security-by-contract (S × C) paradigm with Fog computing to secure IoT devices. Following our previous work, first we formally define the pillars of our proposal. Then, by means of a running case study, we show that we can model communication flows and prevent information leaks. Last, we show that our contribution enables a holistic approach to IoT security, and that it can also prevent unexpected chains of events.

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Influence of Montoring: Fog and Edge Computing

Scalable Computing Practice and Experience ◽

10.12694/scpe.v20i2.1533 ◽

2019 ◽

Vol 20 (2) ◽

pp. 365-376 ◽

Cited By ~ 12

Author(s):

Vivek Kumar Prasad ◽

Madhuri D Bhavsar ◽

Sudeep Tanwar

Keyword(s):

Internet Of Things ◽

Fog Computing ◽

The Internet ◽

Cloud Platform ◽

The World ◽

Iot Devices ◽

Edge And Fog Computing ◽

The Impact ◽

The Internet Of Things

The evolution of the Internet of Things (IoT) has augmented the necessity for Cloud, edge and fog platforms. The chief benefit of cloud-based schemes is they allow data to be collected from numerous services and sites, which is reachable from any place of the world. The organizations will be benefited by merging the cloud platform with the on-site fog networks and edge devices and as result, this will increase the utilization of the IoT devices and end users too. The network traffic will reduce as data will be distributed and this will also improve the operational efficiency. The impact of monitoring in edge and fog computing can play an important role to efficiently utilize the resources available at these layers. This paper discusses various techniques involved for monitoring for edge and fog computing and its advantages. The paper ends with a case study to demonstarte the need of monitoring in fog and edge in the healthcare system.

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Design a blockchain-based middleware layer in the Internet of Things Architecture

JOIV International Journal on Informatics Visualization ◽

10.30630/joiv.4.1.334 ◽

2020 ◽

Vol 4 (1) ◽

Author(s):

Tanweer Alam

Keyword(s):

Internet Of Things ◽

Fog Computing ◽

Smart Devices ◽

The Internet ◽

Novel Approach ◽

Generation Computing ◽

Critical Issues ◽

Iot Devices ◽

The Internet Of Things

In next-generation computing, the role of cloud, internet and smart devices will be capacious. Nowadays we all are familiar with the word smart. This word is used a number of times in our daily life. The Internet of Things (IoT) will produce remarkable different kinds of information from different resources. It can store big data in the cloud. The fog computing acts as an interface between cloud and IoT. The extension of fog in this framework works on physical things under IoT. The IoT devices are called fog nodes, they can have accessed anywhere within the range of the network. The blockchain is a novel approach to record the transactions in a sequence securely. Developing a new blockchains based middleware framework in the architecture of the Internet of Things is one of the critical issues of wireless networking where resolving such an issue would result in constant growth in the use and popularity of IoT. The proposed research creates a framework for providing the middleware framework in the internet of smart devices network for the internet of things using blockchains technology. Our main contribution links a new study that integrates blockchains to the Internet of things and provides communication security to the internet of smart devices.

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Healthcare-Internet of Things and Its Components

Advances in Medical Technologies and Clinical Practice - Optimizing Health Monitoring Systems With Wireless Technology ◽

10.4018/978-1-5225-6067-8.ch018 ◽

2021 ◽

pp. 258-277

Author(s):

Aman Tyagi

Keyword(s):

Internet Of Things ◽

Fog Computing ◽

Communication Technologies ◽

The Internet ◽

Healthcare Resources ◽

Iot Security ◽

Global Epidemic ◽

Security Issues ◽

Analyse Data ◽

Iot Devices

Elderly population in the Asian countries is increasing at a very fast rate. Lack of healthcare resources and infrastructure in many countries makes the task of provding proper healthcare difficult. Internet of things (IoT) in healthcare can address the problem effectively. Patient care is possible at home using IoT devices. IoT devices are used to collect different types of data. Various algorithms may be used to analyse data. IoT devices are connected to the internet and all the data of the patients with various health reports are available online and hence security issues arise. IoT sensors, IoT communication technologies, IoT gadgets, components of IoT, IoT layers, cloud and fog computing, benefits of IoT, IoT-based algorithms, IoT security issues, and IoT challenges are discussed in the chapter. Nowadays global epidemic COVID19 has demolished the economy and health services of all the countries worldwide. Usefulness of IoT in COVID19-related issues is explained here.

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From design to prototyping in the Internet of Things: A domotics case study

ITU Journal on Future and Evolving Technologies ◽

10.52953/hote1473 ◽

2021 ◽

Vol 2 (5) ◽

pp. 29-37

Author(s):

Sabrina Sicari ◽

Alessandra Rizzardi ◽

Alberto Coen-Porisini

Keyword(s):

Internet Of Things ◽

Remote Monitoring ◽

The Internet ◽

Home Automation ◽

Indoor Environments ◽

Adoption And Diffusion ◽

Iot Devices ◽

And Diffusion ◽

The Internet Of Things

Nowadays, the capability of rapidly designing and prototyping, simple, yet real domotics systems (e.g., smart homes and smart buildings applications) is even more compelling, due to the availability and increasing spread of Internet of Things (IoT) devices. Home automation services enable the remote monitoring of indoor environments and facilities. The main advantages include saving energy consumption and improving the overall management (and users' experience) in certain application domains. The pervasive adoption and diffusion of such remote monitoring solutions is hampered by the timing required for design, prototyping and further developing applications and underlying architecture, which must be often customized on the basis of specific domains' needs and involved entities. To cope with this issue, the paper proposes the analysis and prototyping of a domotics case study, in order to demonstrate the effectiveness of proper IoT?related tools in speeding up the testing phase.

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Fog Computing Application Deployment and Management

The Rise of Fog Computing in the Digital Era - Advances in Computer and Electrical Engineering ◽

10.4018/978-1-5225-6070-8.ch004 ◽

2019 ◽

pp. 68-83

Author(s):

Ranjitha G. ◽

Pankaj Lathar ◽

G. M. Siddesh

Keyword(s):

Cloud Computing ◽

Internet Of Things ◽

Smart Cities ◽

Fog Computing ◽

The Internet ◽

Access Points ◽

Computing Paradigm ◽

Application Deployment ◽

Iot Devices ◽

The Internet Of Things

Fog computing enhances cloud computing to be closer to the processes that act on IOT devices. Fogging was introduced to overcome the cloud computing paradigm which was not able to address some services, applications, and other limitations of cloud computing such as security aspects, bandwidth, and latency. Fog computing provides the direct correlation with the internet of things. IBM and CISCO are linking their concepts of internet of things with the help of fog computing. Application services are hosted on the network edge. It improves the efficiency and reduces the amount of data that is transferred to the cloud for analysis, storage, and processing. Developers write the fog application and deploy it to the access points. Several applications like smart cities, healthcare domain, pre-processing, and caching applications have to be deployed and managed properly.

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Predicting Internet of Things (IOT) Security and Privacy Risks – A Proposal Model: توقع مخاطر أمن وخصوصية إنترنت الأشياء (IOT) – نموذج مقترح بحثي

Journal of engineering sciences and information technology - مجلة العلوم الهندسية و تكنولوجيا المعلومات ◽

10.26389/ajsrp.q070621 ◽

2021 ◽

Vol 5 (3) ◽

pp. 133-112

Author(s):

Awad Saad Al-Qahtani, Mohammad Ayoub Khan Awad Saad Al-Qahtani, Mohammad Ayoub Khan

Keyword(s):

Internet Of Things ◽

Security Management ◽

Cyber Attacks ◽

Security Requirements ◽

Security And Privacy ◽

The Internet ◽

Security Risks ◽

Iot Security ◽

Iot Devices ◽

The Internet Of Things

The Internet of things (IOT) users lack awareness of IOT security infrastructure to handle the risks including Threats, attack and penetration associated with its use. IOT devices are main targets for cyber-attacks due to variable personally identifiable information (PII) stored and transmit in the cyber centers. The security risks of the Internet of Things aimed to damage user's security and privacy. All information about users can be collected from their related objects which are stored in the system or transferred through mediums among diverse smart objects and may exposed to exposed dangerous of attacks and threats if it lack authentication so there are essential need to make IOT security requirements as important part of its efficient implementation. These requirements include; availability, accountability, authentication, authorization, privacy and confidentiality, Integrity and Non-repudiation. The study design is a survey research to investigate the visibility of the proposed model of security management for IOT uses, the security risks of IOT devices, and the changes IOT technology on the IT infrastructure of IOT users through answering of the research questionnaires. This work proposes a model of security management for IOT to predict IOT security and privacy threats, protect IOT users from any unforeseen dangers, and determine the right security mechanisms and protocols for IOT security layers, as well as give the most convenient security mechanisms. Moreover, for enhancing the performance of IOT networks by selecting suitable security mechanisms for IOT layers to increase IOT user's security satisfaction.

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Leveraging Constrained Devices for Custom Code Execution in the Internet of Things

10.5753/sbrc_estendido.2020.12413 ◽

2020 ◽

Author(s):

Flávia Pisani ◽

Edson Borin

Keyword(s):

Energy Consumption ◽

Internet Of Things ◽

Fog Computing ◽

Sensor Data ◽

The Internet ◽

Resource Constrained ◽

Iot Devices ◽

The Internet Of Things ◽

Constrained Devices

With the ever-growing scale of the IoT, transmitting a massive volume of sensor data through the network will be too taxing. However, it will be challenging to include resource-constrained IoT devices as processing nodes in the fog computing hierarchy. To allow the execution of custom code sent by users on these devices, which are too limited for many current tools, we developed a platform called LibMiletusCOISA (LMC). Moreover, we created two models where the user can choose a cost metric (e.g., energy consumption) and then use it to decide whether to execute their code on the cloud or on the device that collected the data. We employed these models to characterize different scenarios and simulate future situations where changes in the technology can impact this decision.

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