Privacy Protocols For Household Security – Effects of Different Roll Profiles on the Microstructure and Peel Resistance of Ultrasonic Welded Bonds of Nonwoven Fabrics
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Privacy Protocols For Household Security
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What Is Data Encryption? Definition, Types, And Best Practices
Submission received: May 10, 2020 / Reviewed: 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 efficient and robust security protocols, user ignorance and the notorious active surveillance of devices are among the challenges facing IoT. In this paper, we are exploring the background of IoT systems and security measures, and identifying (a) different security and privacy issues, (b) approaches used to protect components of IoT-based environments and systems, (c) solutions existing security. and (d) the best privacy models needed and appropriate for different layers of IoT-driven applications. In this work, we proposed a new layered IoT model: generic and stretched with the 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 generated from Amazon Web Service (AWS) as virtual machines. The middle layer (edge) implemented as a Raspberry Pi 4 hardware kit with support from the Greengrass Edge environment on AWS. We use the cloud-enabled IoT environment on AWS to implement the top layer (the cloud). Security protocols and critical session management were in between each of these layers to ensure the privacy of user information. We implement security certificates to enable data transfer between the layers of the proposed cloud/edge enabled IoT model. The proposed system model not only eliminates potential security vulnerabilities, but can also be used together with the best security techniques to counter the cyber security threats faced by each of the layers; cloud, edge and IoT.
The Internet of Things (IoT) refers to a concept of connected objects and devices of all kinds via wired or wireless Internet. The popularity of IoT or Internet of Things has increased rapidly as these technologies are used for various purposes including communication, transportation, education and business development. IoT has introduced the concept of hyper-connectivity, which means that organizations and individuals can communicate with each other from remote locations effortlessly. 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 that period, the idea was called pervasive computing or the embedded Internet. Ashton introduced the IoT concept to improve supply chain activities. However, the various functionalities of IoT helped it to gain great popularity in the summer of 2010. The Chinese government gave strategic priority to IoT by introducing a five-year plan. There are about 26.66 billion IoT devices in the world today [1]. The massive explosion began 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 increased privacy and security challenges.
Unconscious use, failure to change passwords, and lack of device updates have increased cybersecurity risks and malicious applications gaining access to sensitive data in IoT systems. These poor security practices increase the chances of a data breach and other threats. Most security professionals consider IoT as the vulnerable point to cyber attacks 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 adequately documented [2]. Thus, end users could not use protective measures to prevent data attacks. Hackers have developed different types of malware to infect IoT devices since the eve of 2008. They have designed various phishing techniques 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 assess cyber threats accurately, they can develop an efficient protection mechanism to prevent or neutralize cyber threats.
The Right To Financial Privacy
IoT-enabled devices have been used in industrial applications and for multiple 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 breach has become a major concern for most companies as it disrupts the workflow, activities and network services. It is essential to have professionals to overcome these threat issues and develop comprehensive security measures and policies to protect your business assets and ensure continuity and stability of services. For example, smart kitchen home IoT-enabled appliances connected to the local network can be a source of breach for hackers to gain access to sensitive business and/or personal data or to manipulate and disrupt business workflow.
Every day new technologies emerge or changes are made to existing ones. Consider the latest advances in 5G networking, for example. 5G is expected to play an essential role in IoT systems and applications. It is attracting the attention and curiosity of researchers about potential security and privacy risks, with its high frequency and bandwidth. However, the short wavelength imposes a change in infrastructure, hence the need for more base stations to cover the same area covered by other wireless technologies. This new structure imposes more threats, such as 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, benefits, and potential risks. Also, to build a framework for studying and developing security best practices by implementing and analyzing current existing schemes or developing new ones. Based on the findings, we provide recommendations to avoid such risks and remediate potential security vulnerabilities. This work will guide regulatory agencies to continue to implement policies, educate end users, and entities and stakeholders involved in the IoT 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 IoT. By creating the system, we can implement and study different security approaches by building real scenarios and benchmarks.
Private Internet Access Vpn Review: Solid Privacy With Setbacks
We adopt a narrative review methodology to explore the history and background of IoT systems, their security and privacy issues, and corresponding countermeasures. We have proposed our own view of the generic and extended IoT model and its privacy and security concerns. 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 paper. Our work does not provide details about the different IoT applications (smart health, smart cities, supply chain, transportation, etc.); their features, advantages and challenges, or the potential security risks or threats between these applications. Literature is rich with such content. In this paper, we prefer to have an overview with proof of concept and lay the groundwork 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 Section 4, we discuss the future of the Internet of Things. Section 5 presents the proposed cloud/edge compatible IoT layers
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