Deep Learning and Reconfigurable Platforms in the Internet of Things: Challenges and Opportunities in Algorithms and Hardware

Cyber-attacks on the Internet of Things (IoT) are growing at an alarming rate as devices, applications, and communication networks are becoming increasingly connected and integrated. When attacks on IoT networks go undetected for longer periods, it affects availability of critical systems for end users, increases the number of data breaches and identity theft, drives up the costs and impacts the revenue. It is imperative to detect attacks on IoT systems in near real time to provide effective security and defense. In this paper, we develop an intelligent intrusion-detection system tailored to the IoT environment. Specifically, we use a deep-learning algorithm to detect malicious traffic in IoT networks. The detection solution provides security as a service and facilitates interoperability between various network communication protocols used in IoT. We evaluate our proposed detection framework using both real-network traces for providing a proof of concept, and using simulation for providing evidence of its scalability. Our experimental results confirm that the proposed intrusion-detection system can detect real-world intrusions effectively.

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Human Activity Recognition with Deep Learning: Overview, Challenges & Possibilities

10.20944/preprints202102.0349.v1 ◽

2021 ◽

Author(s):

Pranjal Kumar

Keyword(s):

Deep Learning ◽

Internet Of Things ◽

Activity Recognition ◽

Human Activity ◽

Recognition System ◽

The Internet ◽

Learning Approaches ◽

The Public ◽

Sensory Data ◽

The Internet Of Things

The growing use of sensor tools and the Internet of Things requires sensors to understand the applications. There are major difficulties in realistic situations, though, that can impact the efficiency of the recognition system. Recently, as the utility of deep learning in many fields has been shown, various deep approaches were researched to tackle the challenges of detection and recognition. We present in this review a sample of specialized deep learning approaches for the identification of sensor-based human behaviour. Next, we present the multi-modal sensory data and include information for the public databases which can be used in different challenge tasks for study. A new taxonomy is then suggested, to organize deep approaches according to challenges. Deep problems and approaches connected to problems are summarized and evaluated to provide an analysis of the ongoing advancement in science. By the conclusion of this research, we are answering unanswered issues and providing perspectives into the future.

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Trends in the Internet of Things

TecnoLógicas ◽

10.22430/22565337.1241 ◽

2019 ◽

Vol 22 (44) ◽

pp. I-II ◽

Cited By ~ 5

Author(s):

Juan Botero Valencia ◽

Luis Castaño Londoño ◽

David Marquez Viloria

Keyword(s):

Internet Of Things ◽

Technological Development ◽

The Internet ◽

Daily Lives ◽

Challenges And Opportunities ◽

New Vision ◽

General Aspects ◽

The Internet Of Things ◽

Do So ◽

Scientific And Technological Development

The Internet of Things continues to set the pace of many aspects of the scientific and technological development worldwide. Moreover, it is expected to do so, at least, for the next ten years, according to forecasts that predict trillions of devices connected to the Internet [1]. In addition to influencing different factors of people’s daily lives, this new vision of the world poses a series of challenges and opportunities that have an effect on general aspects of the economy and politics.

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Mediated Tarekat Qadiriyah wa Naqshabandiyah in the Digital Era: An Ethnographic Overview

ESENSIA Jurnal Ilmu-Ilmu Ushuluddin ◽

10.14421/esensia.v22i1.2511 ◽

2021 ◽

Vol 22 (1) ◽

pp. 35

Author(s):

Zulfan Taufik ◽

Muhammad Taufik

Keyword(s):

Internet Of Things ◽

The Internet ◽

Online Media ◽

Islamic Revival ◽

Digital Era ◽

Challenges And Opportunities ◽

Sufi Order ◽

Relationship Of ◽

The Relationship ◽

The Internet Of Things

This article examines how Tarekat Qadiriyah wa Naqshabandiyah (TQN) utilizes online media to strengthen its existence. As an integral part of the Islamic revival in Indonesia, Sufi orders (tarekat) are facing remarkable challenges and opportunities in maintaining their existence in the digital era. Nevertheless, previous studies observed Sufi orders as a traditional community that would be exterminated by the pace of modernization and globalization. This article argues that Sufi orders may survive in the internet of things era, contrary to preceding discourses. Based on ethnography research, both online and offline, the authors found out that the vitality of the Sufi order can adapt, develop, and innovate using online media. TQN's use of online media through various platforms proves Sufi order’s adaptive efforts to the internet-based era. TQN’s online media provide informations on Islamic and Sufism teachings, news, schedule of activities, and fundraising. Even though TQN members’ being active in cyber-Islamic environments, they resist online asceticism thus leverage the vertical-personal obedience, conservative authorities, and sacred rituals. These practices done by TQN members illuminate its identity as an authentic online sufism. Premises shown in this paper may enrich the scope of study within the relationship of Sufi orders and Islamic-cyber environment, especially in Indonesian context.

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The Internet of Things

10.1093/wentk/9780190943813.001.0001 ◽

2020 ◽

Author(s):

Scott J. Shackelford

Keyword(s):

Internet Of Things ◽

Smart Devices ◽

Stock Exchanges ◽

The Internet ◽

Internet Of Everything ◽

The Social ◽

Challenges And Opportunities ◽

Perverse Incentives ◽

And Control ◽

The Internet Of Things

The Internet of Things (IoT) is the notion that nearly everything we use, from gym shorts to streetlights, will soon be connected to the Internet; the Internet of Everything (IoE) encompasses not just objects, but the social connections, data, and processes that the IoT makes possible. Industry and financial analysts have predicted that the number of Internet-enabled devices will increase from 11 billion to upwards of 75 billion by 2020. Regardless of the number, the end result looks to be a mind-boggling explosion in Internet connected stuff. Yet, there has been relatively little attention paid to how we should go about regulating smart devices, and still less about how cybersecurity should be enhanced. Similarly, now that everything from refrigerators to stock exchanges can be connected to a ubiquitous Internet, how can we better safeguard privacy across networks and borders? Will security scale along with this increasingly crowded field? Or, will a combination of perverse incentives, increasing complexity, and new problems derail progress and exacerbate cyber insecurity? For all the press that such questions have received, the Internet of Everything remains a topic little understood or appreciated by the public. This volume demystifies our increasingly “smart” world, and unpacks many of the outstanding security, privacy, ethical, and policy challenges and opportunities represented by the IoE. Scott J. Shackelford provides real-world examples and straightforward discussion about how the IoE is impacting our lives, companies, and nations, and explain how it is increasingly shaping the international community in the twenty-first century. Are there any downsides of your phone being able to unlock your front door, start your car, and control your thermostat? Is your smart speaker always listening? How are other countries dealing with these issues? This book answers these questions, and more, along with offering practical guidance for how you can join the effort to help build an Internet of Everything that is as secure, private, efficient, and fun as possible.

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