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Discovering Smart Home Internet Of Things Privacy Norms Using Contextual Integrity

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Discovering Smart Home Internet Of Things Privacy Norms Using Contextual Integrity – Effect of different roll profiles on the microstructure and peel strength of ultrasonically welded joints of non-woven fabrics

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Discovering Smart Home Internet Of Things Privacy Norms Using Contextual Integrity

Discovering Smart Home Internet Of Things Privacy Norms Using Contextual Integrity

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Smart Home: Definition, How They Work, Pros And Cons

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Everything You Need To Know About Iot Devices

Received: May 10, 2020 / Revised: June 10, 2020 / Accepted: June 10, 2020 / Published: June 15, 2020

Privacy and security are among the important challenges of the Internet of Things (IoT). Inadequate device updates, lack of effective and robust security protocols, user ignorance, and the notorious active surveillance of devices are among the challenges facing the IoT. In this paper, we examine the background of IoT security systems and measures and identify (a) various security and privacy issues, (b) approaches used to protect IoT-based environment components and systems, (c) security solutions existing and (d) ) the best personal data protection models necessary and suitable for different layers of IoT-based applications. In this paper, we proposed a new layered IoT model: general and extended with privacy and security components and layer identification. The proposed cloud/edge compatible IoT system is implemented and evaluated. The bottom layer represented by IoT nodes spawned from Amazon Web Service (AWS) as virtual machines. The middle (edge) layer implemented as a Raspberry Pi 4 hardware kit with Greengrass Edge Environment support on AWS. To implement the top layer (the cloud), we use a cloud-enabled IoT environment on AWS. Security protocols and critical session management were in between each of these layers to ensure the privacy of user information. We implement security certificates that enable data transfer between layers of the proposed cloud/edge enabled IoT model. The proposed system model not only eliminates possible security vulnerabilities, but can also be used together with the best security techniques to avoid the cyber threats faced by each of the layers; cloud, edge and IoT.

The Internet of Things (IoT) refers to the concept of connected objects and devices of all kinds via the Internet, whether wired or wireless. The popularity of the Internet of Things or the Internet of Things has grown rapidly as these technologies are used for a variety of purposes, including communication, transportation, education, and business development. IoT has introduced the concept of hyper-connectivity, which means that organizations and individuals can effortlessly communicate with each other from remote locations. Kevin Ashton coined the term “IoT” in 1999 to promote the concept of Radio Frequency Identification (RFID), which includes embedded sensors and actuators. However, the original idea was introduced in the 1960s. During this period, this idea was called pervasive computing or the embedded Internet. Ashton introduced the concept of IoT to improve supply chain activities. However, the various features of the Internet of Things helped it gain huge popularity in the summer of 2010. The Chinese government made the IoT a strategic priority by introducing a five-year plan. There are about 26.66 billion IoT devices in the world today [1]. The massive explosion started in 2011 with the introduction of home automation, wearables and smart energy meters. The rapid explosion of IoT has benefited organizations and improved market research and business strategies in several ways. Similarly, IoT has improved the lifestyle of individuals by introducing automated services. However, such an uncontrolled explosion has raised demands for privacy and security.

Discovering Smart Home Internet Of Things Privacy Norms Using Contextual Integrity

Unknown usage, immutability of passwords and lack of device updates have increased cybersecurity risks and malicious applications have access to sensitive data from IoT systems. These poor security practices increase the chances of data breaches and other threats. Most security professionals see the IoT as a place vulnerable to cyberattacks due to weak security protocols and policies. Although various security mechanisms have been developed to protect IoT devices from cyber attacks, the security guidelines are not properly documented [2]. Thus, end users could not use protective measures to prevent data attacks. Hackers have developed various types of malware to infect IoT devices since the eve of 2008. Various phishing techniques have been designed to trick employees or individuals into sharing sensitive data [3]. Therefore, corporate workstations and personal devices often face privacy breaches due to high-profile attacks. If device manufacturers and security experts accurately assess cyber threats, they can develop an effective protection mechanism to prevent or neutralize cyber threats.

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IoT-enabled devices are used in industrial applications and for various commercial purposes [4]. The applications help these companies gain a competitive edge over their competitors. However, due to the excessive adoption of various smart devices with data sharing and integration, privacy and data breaches are becoming a major concern for most businesses as they disrupt workflow, activities and network services. It is essential to have professionals to overcome these threat issues and create comprehensive security measures and policies to protect your business assets and ensure service continuity and stability. For example, IoT-enabled appliances in a smart kitchen connected to a local network can be a source of intrusion for hackers to access sensitive business and/or personal data or to manipulate and disrupt business workflow.

Every day new technologies appear or existing ones change. Consider, for example, the latest advances in 5G networks. 5G is expected to play a vital role in IoT systems and applications. Because of its high frequency and bandwidth, it is gaining the attention and curiosity of researchers regarding possible security and privacy risks. However, short wavelength requires a change in infrastructure, so more base stations are required to cover the same area covered by other wireless technologies. This new structure presents more threats like fake base stations. It is essential to understand the security risks and possible solutions.

In this paper, we aim to provide an overview of IoT applications, potential benefits and risks. In addition, it creates a framework for the study and development of security best practices, whether by implementing and analyzing existing schemes or developing new ones. Based on the findings, we provide recommendations on how to avoid these risks and fix any security weaknesses. This work will guide regulatory agencies to continue to enforce policies, educate end users, and IoT entities and stakeholders to develop and implement more appropriate security and privacy measures.

We built our model using Amazon Web Service (AWS) as a proof of concept, which was later translated into real physical systems of sensor nodes that mimic the general structure of the Internet of Things. By creating a system, we can deploy and study different security approaches by creating real scenarios and benchmarks.

What Is Matter? Explaining The World’s Latest Smart Home Protocol.

We adopt a narrative review methodology to examine the history and background of IoT systems, their security and privacy protection, and corresponding countermeasures. We designed our own vision of the general and extended IoT model and its privacy and security. We created and studied a cloud/edge-enabled IoT model that consisted of a virtual machine (sensors) and an edge node (Raspberry Pi) and cloud services (AWS). This setup was designed to evaluate the model we proposed in the following sections of this article. Our work does not provide details on different IoT applications (smart health, smart cities, supply chain, transportation, etc.); their features, advantages and challenges or possible security risks or threats between these applications. Literature is rich in such content. In this paper, we prioritize an overview with a proof of concept and set the stage for further analysis and research.

The rest of this paper is organized as follows: the next section presents a literature review, followed by IoT security and privacy challenges. In Part 4, we discussed the future of the Internet of Things. Section 5

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