A Review on Network Security Challenges and the Internet of Things (IoT)

Author(s):  
Madhu Khurana ◽  
Tanupriya Choudhury ◽  
Priyanka Malik
2017 ◽  
Vol 129 ◽  
pp. 444-458 ◽  
Author(s):  
Ibrar Yaqoob ◽  
Ejaz Ahmed ◽  
Muhammad Habib ur Rehman ◽  
Abdelmuttlib Ibrahim Abdalla Ahmed ◽  
Mohammed Ali Al-garadi ◽  
...  

Author(s):  
Mohammad Tariq Banday

The chapter discusses various security challenges in the design of the internet of things and their possible solutions. After presenting a precise introduction to the internet of things, its applications, and technologies enabling it, the chapter discusses its various architectures and models which follow with an introduction of development kits, boards, platforms, hardware, software, and devices used in the internet of things. A concise explanation and discussion on the internet of things standards and protocols with emphasis on their security is presented. Next, various possible security threats and attacks to the internet of things are presented. The subsequent sections of the chapter discuss identified security challenges at individual layers of various models along with their possible solutions. It further presents cryptographic and lightweight cryptographic primitives for the internet of things, existing use of cryptography in the internet of things protocols, security challenges, and its prospectus.


2018 ◽  
Vol 7 (4.36) ◽  
pp. 700
Author(s):  
N. Koteswara Rao ◽  
Gandharba Swain

The proliferation of smart objects with capability of sensing, processing and communication has grown in recent years. In this scenario, the Internet of Things (IoT) connects these objects to the Internet and provides communication with users and devices. IoT enables a huge amount of new applications, with which academics and industries can benefit, such as smart cities, health care and automation. In this environment, compose of constrained devices, the widespread adoption of this paradigm depends of security requirements like secure communication between devices, privacy and anonymity of its users. This paper presents the main security challenges and solutions to provide authentication and authorization on the Internet of Things. 


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 219709-219743
Author(s):  
Shapla Khanam ◽  
Ismail Bin Ahmedy ◽  
Mohd Yamani Idna Idris ◽  
Mohamed Hisham Jaward ◽  
Aznul Qalid Bin Md Sabri

2019 ◽  
Vol 1 (2) ◽  
pp. 16 ◽  
Author(s):  
Deepak Choudhary

The Internet of Things (IoT) enables the integration of data from virtual and physical worlds. It involves smart objects that can understand and react to their environment in a variety of industrial, commercial and household settings. As the IoT expands the number of connected devices, there is the potential to allow cyber-attackers into the physical world in which we live, as they seize on security holes in these new systems. New security issues arise through the heterogeneity  of  IoT  applications and devices and their large-scale deployment.


Symmetry ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 537 ◽  
Author(s):  
Wayne Chiu ◽  
Chunhua Su ◽  
Chuan-Yen Fan ◽  
Chien-Ming Chen ◽  
Kuo-Hui Yeh

The Internet-of-Things (IoT) is an emerging paradigm seamlessly integrating a great number of smart objects ubiquitously connected to the Internet. With the rise in interest in the IoT, industry and academia have introduced a variety of authentication technologies to deal with security challenges. Authentication in IoT involves not only shifting intelligent access control down to the end smart objects, but also user identification and verification. In this paper, we build an authentication system based on brainwave reactions to a chain of events. Brainwaves, as external signals of a functioning brain, provide a glimpse into how we think and react. However, seen another way, we could reasonably expect that a given action or event could be linked back to its corresponding brainwave reaction. Recently, commercial products in the form of wearable brainwave headsets have appeared on the market, opening up the possibility of exploiting brainwaves for various purposes and making this more feasible. In the proposed system, we use a commercially available brainwave headset to collect brainwave data from participants for use in the proposed authentication system. After the brainwave data collection process, we apply a machine learning-based approach to extract features from brainwaves to serve as authentication tokens in the system and support the authentication system itself.


Tehnika ◽  
2020 ◽  
Vol 75 (6) ◽  
pp. 678-683
Author(s):  
Milica Đekić

The Internet of Things (IoT) is a quite recent paradigm going a decade back to the past. With the development and deployment of wireless technologies this new advancement has taken the part in the consumers' lives and businesses. In other words, the IoT is a pretty convenient way to correlated devices with each other and make them communicate in such a network. This is feasible using the internet connection and differently saying, all IoT devices forming the IoT asset got their IP addresses. From this perspective, it's quite clear that this technology got a lot of advantages and the users may feel so thankful for being the part of an IoT community. On the other hand, the consumers would spend less time thinking about the possible security concerns being linked to this new improvement. In this paper, we intend to discuss how secure our IoT infrastructure is, what its strategic implications are and why cyber industry should invest more time and effort in order to better research and develop this concept. In addition, we would try to deal a bit more with the IoT crawlers as the tools for investigating the IoT network and being so handy for both - researchers and hacker's groups.


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