scholarly journals Sliding Window Protocol for Internet of Things

2021 ◽  
Vol 10 (3) ◽  
pp. 46-54
Author(s):  
Md. Aaqeel Hasan* ◽  
◽  
Dr. Jaypal Medida ◽  
N. Laxmi Prasanna ◽  
◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Resource Constraints ◽  
Sliding Window ◽  
Communication Technologies ◽  
It Use ◽  
Iot Security ◽  
Memory Overhead ◽  
Iot Devices ◽  
High Computational Complexity

Internet of Things (IoT) refers to the concept of connecting non-traditional computers and related sources with the help of the internet. This includes incorporating basic computing and communication technologies for daily use into Physical things. Security and Confidentiality are two major challenges in IoT. In the current security mechanisms available for IoT, the limitations in the memory, energy resources, and CPU of IoT devices compromises the critical security specifications in IoT devices. Also, the centralized architectures for security are not appropriate for IoT because of a Single attack point. It is costly to defend against attacks targeted on centralized infrastructure. Therefore, it is important to decentralize the IoT security architecture to meet the requirements of resource constraints. Blockchain is a decentralized encryption system with a large number of uses. However, because of its high computational complexity and poor scalability, the Traditional Blockchain environment is not suitable for IoT applications. So, we introduce a Sliding window protocol to the traditional blockchain so that it will better suit the applications in the IoT environment. Changing the conventional blockchain and introducing a sliding window to it makes it use previous blocks in proof of work to shape the next hash block. SWBC's results are analyzed on a data stream generated from an IoT testbed (Smart Home) in real-time. The results show that the proposed sliding window protocol improves security and reduces memory overhead and consumes fewer resources for Security.

Healthcare-Internet of Things and Its Components

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.

scholarly journals Lightweight Blockchain to Improve Security and Privacy in Smarthome

2020 ◽  
Vol 8 (6) ◽  
pp. 5021-5027
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Resource Constraints ◽  
Security And Privacy ◽  
Cyber Threats ◽  
Distributed Ledger ◽  
Application Architecture ◽  
Share Data ◽  
Iot Devices ◽  
Smart Home Appliances

Internet of Things (IoT) growing at a rate of exponential numbers in recent years has received extensive attention with BlockChain (BC) technology which provide trust to IoT with its immutable nature, decentralization in computing, resource constraints, security and privacy. The distributed ledger of transactions in BC is path leading technology for addressing Cyber Threats in the form of data theft; it provides secure application architecture which has proven track of record for securing data. IoT devices using BC enabled to communicate between objects, share data, decide based on business criteria and act as a medium to securely transmit information. This work provides lightweight BlockChain with two prominent consensus mechanism PoW – Proof of Work and PoS – Proof of Stake for smart IoT devices. Next, Smart Home Device (SMD) is ensures providing best-in-class Security and Privacy for smart home Appliances. Further provides future advances in the Approach.

scholarly journals Honeypots for Internet of Things Research: An Effective Mitigation Tool

2021 ◽  
Author(s):  
Shen Xin En ◽  
Liu Si Ling ◽  
Fan Cheng Hao
Keyword(s):  
Internet Of Things ◽  
Operating Systems ◽  
Network Resources ◽  
Iot Security ◽  
Frequent Use ◽  
Attack Patterns ◽  
Iot Devices

In recent years, due to their frequent use and widespread use, IoT (Internet of Things) devices have become an attractive target for hackers. As a result of their limited network resources and complex operating systems, they are vulnerable to attacks. Using a honeypot can, therefore, be a very effective way of detecting malicious requests and capturing samples of exploits. The purpose of this article is to introduce honeypots, the rise of IoT devices, and how they can be exploited by attackers. Various honeypot ecosystems will be investigated further for capturing and analyzing information from attacks against these IoT devices. As well as how to leverage proactive strategies in terms of IoT security, it will provide insights on the attack vectors present in most IoT systems, along with understanding attack patterns.

Communication Trends in Internet of Things

2018 ◽  
pp. 284-305 ◽  
Author(s):  
Bharathi N. Gopalsamy
Keyword(s):  
Internet Of Things ◽  
Short Range ◽  
Near Field ◽  
Communication Technologies ◽  
Good Choice ◽  
Battery Life ◽  
Power Requirement ◽  
Storage Security ◽  
Central Hypothesis ◽  
Iot Devices

The central hypothesis of Internet of Things is the term “connectivity”. The IoT devices are connected to the Internet through a wide variety of communication technologies. This chapter explains the various technologies involved in IoT connectivity. The diversity in communication raises the query of which one to choose for the proposed application. The key objective of the application needs to be defined very clearly. The application features such as the power requirement, data size, storage, security and battery life highly influence the decision of selecting one or more communication technology. Near Field Communication is a good choice for short-range communication, whereas Wi-Fi can be opted for a larger range of coverage. Though Bluetooth is required for higher data rate, it is power hungry, but ZigBee is suitable for low power devices. There involves always the tradeoff between the technologies and the requirements. This chapter emphasizes that the goal of the application required to be more precise to decide the winner of the IoT connectivity technology that suits for it.

Towards the Integration of Blockchain and IoT for Security Challenges in IoT

2020 ◽  
pp. 45-67 ◽  
Author(s):  
K. Dinesh Kumar ◽  
Venkata Rathnam T. ◽  
Venkata Ramana R. ◽  
M. Sudhakara ◽  
Ravi Kumar Poluru
Keyword(s):  
Internet Of Things ◽  
Security Management ◽  
Vital Role ◽  
Management Systems ◽  
Iot Security ◽  
Communication Architecture ◽  
Secure Systems ◽  
Security Issues ◽  
Blockchain Technology ◽  
Iot Devices

Internet of things (IoT) technology plays a vital role in the current technologies because IoT develops a network by integrating different kinds of objects and sensors to create the communication among objects directly without human interaction. With the presence of internet of things technology in our daily comes smart thinking and various advantages. At the same time, secure systems have been a most important concern for the protection of information systems and networks. However, adopting traditional security management systems in the internet of things leads several issues due to the limited privacy and policies like privacy standards, protocol stacks, and authentication rules. Usually, IoT devices has limited network capacities, storage, and computing processors. So they are having more chances to attacks. Data security, privacy, and reliability are three main challenges in the IoT security domain. To address the solutions for the above issues, IoT technology has to provide advanced privacy and policies in this large incoming data source. Blockchain is one of the trending technologies in the privacy management to provide the security. So this chapter is focused on the blockchain technologies which can be able to solve several IoT security issues. This review mainly focused on the state-of-the-art IoT security issues and vulnerabilities by existing review works in the IoT security domains. The taxonomy is presented about security issues in the view of communication, architecture, and applications. Also presented are the challenges of IoT security management systems. The main aim of this chapter is to describe the importance of blockchain technology in IoT security systems. Finally, it highlights the future directions of blockchain technology roles in IoT systems, which can be helpful for further improvements.

Security Assertion of IoT Devices Using Cloud of Things Perception

2019 ◽  
Vol 11 (4) ◽  
pp. 17-31
Author(s):  
Mamata Rath ◽  
Bibudhendu Pati
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Communication Systems ◽  
Future Internet ◽  
Computing Systems ◽  
Iot Security ◽  
Security Assurance ◽  
Iot Applications ◽  
The Future ◽  
Iot Devices

Adoption of Internet of Things (IoT) and Cloud of Things (CoT) in the current developing technology era are expected to be more and more invasive, making them important mechanism of the future Internet-based communication systems. Cloud of Things and Internet of Things (IoT) are two emerging as well as diversified advanced domains that are diversified in current technological scenario. Paradigm where Cloud and IoT are merged together is foreseen as disruptive and as an enabler of a large number of application scenarios. Due to the adoption of the Cloud and IoT paradigm a number of applications are gaining important technical attention. In the future, it is going to be more complicated a setup to handle security in technology. Information till now will severely get changed and it will be very tough to keep up with varying technology. Organisations will have to repeatedly switch over to new skill-based technology with respect to higher expenditure. Latest tools, methods and enough expertise are highly essential to control threats and vulnerability to computing systems. Keeping in view the integration of Cloud computing and IoT in the new domain of Cloud of things, the said article provides an up-to-date eminence of Cloud-based IoT applications and Cloud of Things with a focus on their security and application-oriented challenges. These challenges are then synthesized in detail to present a technical survey on various issues related to IoT security, concerns, adopted mechanisms and their positive security assurance using Cloud of Things.

scholarly journals IoT Security Configurability with Security-by-Contract

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4121 ◽  
Author(s):  
Alberto Giaretta ◽  
Nicola Dragoni ◽  
Fabio Massacci
Keyword(s):  
Internet Of Things ◽  
Fog Computing ◽  
Holistic Approach ◽  
The Internet ◽  
Iot Security ◽  
Iot Devices ◽  
Work First ◽  
The Internet Of Things

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.

scholarly journals A Cancelable Iris- and Steganography-Based User Authentication System for the Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2985 ◽  
Author(s):  
Wencheng Yang ◽  
Song Wang ◽  
Jiankun Hu ◽  
Ahmed Ibrahim ◽  
Guanglou Zheng ◽  
...  
Keyword(s):  
Internet Of Things ◽  
User Authentication ◽  
System Security ◽  
Random Projection ◽  
Biometric Data ◽  
Iot Security ◽  
Biometric Systems ◽  
Authentication System ◽  
Iot Devices ◽  
The Internet Of Things

Remote user authentication for Internet of Things (IoT) devices is critical to IoT security, as it helps prevent unauthorized access to IoT networks. Biometrics is an appealing authentication technique due to its advantages over traditional password-based authentication. However, the protection of biometric data itself is also important, as original biometric data cannot be replaced or reissued if compromised. In this paper, we propose a cancelable iris- and steganography-based user authentication system to provide user authentication and secure the original iris data. Most of the existing cancelable iris biometric systems need a user-specific key to guide feature transformation, e.g., permutation or random projection, which is also known as key-dependent transformation. One issue associated with key-dependent transformations is that if the user-specific key is compromised, some useful information can be leaked and exploited by adversaries to restore the original iris feature data. To mitigate this risk, the proposed scheme enhances system security by integrating an effective information-hiding technique—steganography. By concealing the user-specific key, the threat of key exposure-related attacks, e.g., attacks via record multiplicity, can be defused, thus heightening the overall system security and complementing the protection offered by cancelable biometric techniques.

scholarly journals Security Risk Measurement for Information Leakage in IoT-Based Smart Homes from a Situational Awareness Perspective

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2148 ◽  
Author(s):  
Mookyu Park ◽  
Haengrok Oh ◽  
Kyungho Lee
Keyword(s):  
Smart Home ◽  
Situational Awareness ◽  
Personal Information ◽  
Human Life ◽  
Information Leakage ◽  
Security Threats ◽  
Security Risk ◽  
Iot Security ◽  
Home Based ◽  
Iot Devices

Internet-of-Things (IoT) is a technology that is extensively being used in various fields. Companies like Samsung, LG, and Apple are launching home appliances that use IoT as a part of their smart home business. Currently, Intelligent Things which combine artificial intelligence (AI) and IoT are being developed. Most of these devices are configured to collect and respond to human behavior (motion, voice, etc.) through built-in sensors. If IoT devices do not ensure high security, personal information could be leaked. This paper describes the IoT security threats that can cause information leakage from a hierarchical viewpoint of cyberspace. In addition, because these smart home-based IoT devices are closely related to human life, considering social damage is a problem. To overcome this, we propose a framework to measure the risk of IoT devices based on security scenarios that can occur in a smart home.

scholarly journals Internet of Things: A Comprehensive Study on Machine Learning-based Intrusion Detection approaches

2021 ◽  
Author(s):  
Priyanka Gupta ◽  
Lokesh Yadav ◽  
Deepak Singh Tomar
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Intrusion Detection ◽  
Real Time ◽  
Detection System ◽  
Research Work ◽  
Security And Privacy ◽  
Iot Security ◽  
Advantages And Disadvantages ◽  
Iot Devices

The Internet of Things (IoT) connects billions of interconnected devices that can exchange information with each other with minimal user intervention. The goal of IoT to become accessible to anyone, anytime, and anywhere. IoT has engaged in multiple fields, including education, healthcare, businesses, and smart home. Security and privacy issues have been significant obstacles to the widespread adoption of IoT. IoT devices cannot be entirely secure from threats; detecting attacks in real-time is essential for securing devices. In the real-time communication domain and especially in IoT, security and protection are the major issues. The resource-constrained nature of IoT devices makes traditional security techniques difficult. In this paper, the research work carried out in IoT Intrusion Detection System is presented. The Machine learning methods are explored to provide an effective security solution for IoT Intrusion Detection systems. Then discussed the advantages and disadvantages of the selected methodology. Further, the datasets used in IoT security are also discussed. Finally, the examination of the open issues and directions for future trends are also provided.

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