A Cloud-Assisted Proxy Re-Encryption Scheme for Efficient Data Sharing Across IoT Systems

2020 ◽  
Vol 15 (4) ◽  
pp. 18-36
Author(s):  
Muthukumaran V. ◽  
Ezhilmaran D.
Keyword(s):  
Data Sharing ◽  
Security Analysis ◽  
Security And Privacy ◽  
Encryption Scheme ◽  
Security Measures ◽  
Privacy Concerns ◽  
Iot Applications ◽  
Root Extraction ◽  
Efficient Data ◽  
Iot Devices

In recent years, the growth of IoT applications is rapid in nature and widespread across several domains. This tremendous growth of IoT applications leads to various security and privacy concerns. The existing security algorithms fail to provide improved security features across IoT devices due to its resource constrained nature (inability to handle a huge amount of data). In this context, the authors propose a cloud-assisted proxy re-encryption scheme for efficient data sharing across IoT systems. The proposed approach solves the root extraction problem using near-ring. This improves the security measures of the system. The security analysis of the proposed approach states that it provides improved security with lesser computational overheads.

scholarly journals Deep Learning-Based Security Behaviour Analysis in IoT Environments: A Survey

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Yawei Yue ◽  
Shancang Li ◽  
Phil Legg ◽  
Fuzhong Li
Keyword(s):  
Deep Learning ◽  
Smart Home ◽  
Ad Hoc ◽  
Security Analysis ◽  
Home Healthcare ◽  
Security And Privacy ◽  
Iot Security ◽  
Privacy Concerns ◽  
Iot Devices ◽  
Primary Focus

Internet of Things (IoT) applications have been used in a wide variety of domains ranging from smart home, healthcare, smart energy, and Industrial 4.0. While IoT brings a number of benefits including convenience and efficiency, it also introduces a number of emerging threats. The number of IoT devices that may be connected, along with the ad hoc nature of such systems, often exacerbates the situation. Security and privacy have emerged as significant challenges for managing IoT. Recent work has demonstrated that deep learning algorithms are very efficient for conducting security analysis of IoT systems and have many advantages compared with the other methods. This paper aims to provide a thorough survey related to deep learning applications in IoT for security and privacy concerns. Our primary focus is on deep learning enhanced IoT security. First, from the view of system architecture and the methodologies used, we investigate applications of deep learning in IoT security. Second, from the security perspective of IoT systems, we analyse the suitability of deep learning to improve security. Finally, we evaluate the performance of deep learning in IoT system security.

IoT in Healthcare

2020 ◽  
pp. 1-22
Author(s):  
V. Jeevika Tharini ◽  
S. Vijayarani
Keyword(s):  
Health Sector ◽  
Information Privacy ◽  
Security And Privacy ◽  
Healthcare Industry ◽  
Security Attacks ◽  
Privacy And Security ◽  
Privacy Concerns ◽  
Security Issues ◽  
Iot Devices ◽  
Individual Information

One of the best-known features of IoT is automation. Because of this, IoT is a much-needed field for many applications, namely emergency and healthcare domains. IoT has made many revolutionary changes in the healthcare industry. IoT paves the way to numerous advancements for healthcare. The possibilities of IoT have reached their peak in the commercial industry and health sector. In recent years, serious concerns have been raised over the control and access of one's individual information. Privacy and security of the IoT devices can be compromised by intruders. Apart from the numerous benefits of IoTs, there are several security and privacy concerns to consider. A brief overview of different kinds of security attacks, solution for the attacks, privacy and security issues are discussed in this chapter.

scholarly journals Hashing based Data Transaction and Optimized Storage for IoT Applications

2021 ◽  
Vol 12 (5) ◽  
pp. 1206-1215
Author(s):  
Monika Parmar, Et. al.
Keyword(s):  
Input Data ◽  
Security And Privacy ◽  
Huge Amount ◽  
Privacy Concerns ◽  
Iot Applications ◽  
Blockchain Technology ◽  
Storage Solutions ◽  
Wide Range ◽  
New Challenges ◽  
Distributed Analysis

Blockchain technology, which would be the underlying technology, has recently become very popular with the increase in cryptocurrencies and is being used in IoT and other fields. There have been shortfalls, however, which impede its implementation, including the volume of space. Transactions will be produced at a significant level due to the huge amount of Connected systems that often work in many networks as data processors. In IoT, the storage issue will become more intense. Current storing data platforms have a wide range of features to respond to an extensive variety spectrum of uses. Nevertheless, new groups of systems have arisen, e.g., blockchain with data version control, fork semantics, tamper-evidence or some variation thereof, and distributed analysis. They're showing new challenges for storage solutions to effectively serve such energy storage Systems by integrating the criteria mentioned in the processing. This paper discusses the potential security and privacy concerns of IoT applications and also it is shown that in first step the storage is enhanced by 50% and further in the next step, it is improved and it takes only 256 bytes irrespective of the input data size.

scholarly journals An efficient data security mechanism with data sharing and authentication

2020 ◽  
Vol 5 (19) ◽  
pp. 26-31
Author(s):  
Md. Farooque ◽  
Kailash Patidar ◽  
Rishi Kushwah ◽  
Gaurav Saxena
Keyword(s):  
Cloud Computing ◽  
Data Sharing ◽  
Data Security ◽  
Security Analysis ◽  
Key Generation ◽  
Security Mechanism ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Cloud Data ◽  
Efficient Data

In this paper an efficient security mechanism has been adopted for the cloud computing environment. It also provides an extendibility of cloud computing environment with big data and Internet of Things. AES-256 and RC6 with two round key generation have been applied for data and application security. Three-way security mechanism has been adopted and implemented. It is user to user (U to U) for data sharing and inter cloud communication. Then user to cloud (U to C) for data security management for application level hierarchy of cloud. Finally, cloud to user (C to U) for the cloud data protection. The security analysis has been tested with different iterations and rounds and it is found to be satisfactory.

scholarly journals A Research on impact of Blockchain in Healthcare

2019 ◽  
Vol 8 (9S2) ◽  
pp. 35-40
Keyword(s):  
Third Party ◽  
Security And Privacy ◽  
Privacy Concerns ◽  
Blockchain Technology ◽  
Location Sharing ◽  
Authentication And Authorization ◽  
Promising Solution ◽  
Iot Devices ◽  
Remote Patient ◽  
Education Science

Blockchain refers to a distributed ledger technology that represents an innovation in recording and sharing information without the need for a trusted third party. Blockchain technology offers new tools for security and privacy concerns. Marching towards digitization and analytics, this technology emerges as a promising solution for authentication and authorization issues. It sounds so amazing that this technology that originated with cryptocurrencies could not only be applied in digital contracts, financial and public records, and property ownership but also in medicine, education, science and so on. The use case of this technology springs up in every possible direction. This article first analyses the need for this breakthrough technology and explains how this technology works. This work presents a review on various types of blockchain, the consensus mechanisms used, their advantages and limitations. It provides an overview on the various use cases of this technology. This work mainly focuses on its application in Healthcare. The goal of this article is to analyze the usage of Blockchain technology in various fields of Healthcare such as Electronic Health Record, Health Insurance, Biomedical Research, Drug Supply, Medical Education, Remote Patient Monitoring, Interoperability, Location Sharing etc., It investigates the current research trends and finds the gaps and limitations of these approaches. Moreover, it proposes some enhancements to fill in the gaps in the present approach. This work also analyses the importance of Wearable Internet of Things (IoT) devices in HealthCare and the integration of these devices with Blockchain. Finally, this work concludes by comparing Blockchain 3.0 with previous versions.

Social Internet of Things

2019 ◽  
pp. 199-218
Author(s):  
Sejal Atit Bhavsar ◽  
Brinda Yeshu Pandit ◽  
Kirit J. Modi
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Intelligent Systems ◽  
Literature Study ◽  
Smart Transportation ◽  
Iot Applications ◽  
Social Internet Of Things ◽  
Efficient Data ◽  
Smart Agriculture ◽  
Technology Domain

Internet of things has gathered significance within the latest technology domain and trends. As a result, it offers greater ways of accessing data and utilizing intelligent systems. IoT applications are developed for specific scenarios (i.e., smart home, smart transportation, smart agriculture, e-health, etc.). Such IoT applications are inefficient for sharing data and knowledge through services. This results in an inefficient exploitation of different IoT service applications. Social internet of things (SIoT) has efficient and effective ways to support these kinds of services. A concept of social internet of things has been proposed in this chapter in order to support efficient data sharing. This chapter explores related work and literature study on social internet of things, concentrates on mapping IoT with SIoT, and describes a possible architecture for SIoT, components, layers and processes of SIoT. It also illustrates applications, where SIoT can be used, and at the end, the authors provide a few challenges related to SIoT.

Privacy Dangers of Wearables and the Internet of Things

2016 ◽  
pp. 379-402 ◽  
Author(s):  
Scott Amyx
Keyword(s):  
Data Protection ◽  
Data Privacy ◽  
Security And Privacy ◽  
Employee Privacy ◽  
Privacy Concerns ◽  
Business Operations ◽  
Managerial Implications ◽  
Iot Devices ◽  
Privacy Issues ◽  
The Internet Of Things

This chapter identifies concerns about, and the managerial implications of, data privacy issues related to wearables and the IoT; it also offers some enterprise solutions to the complex concerns arising from the aggregation of the massive amounts of data derived from wearables and IoT devices. Consumer and employee privacy concerns are elucidated, as are the problems facing managers as data management and security become an important part of business operations. The author provides insight into how companies are currently managing data as well as some issues related to data security and privacy. A number of suggestions for improving the approach to data protection and addressing concerns about privacy are included. This chapter also examines trending issues in the areas of data protection and the IoT, and contains thought-provoking discussion questions pertaining to business, wearables/IoT data, and privacy issues.

Smart Internet of Things (IoT) Applications

2019 ◽  
pp. 33-42
Author(s):  
Rahul Verma
Keyword(s):  
Internet Of Things ◽  
Cyber Physical Systems ◽  
Security And Privacy ◽  
Smart Device ◽  
The Internet ◽  
Iot Applications ◽  
Individual Concepts ◽  
The World ◽  
Iot Devices ◽  
The Internet Of Things

The internet of things (IoT) is the new buzzword in technological corridors with most technology companies announcing a smart device of sorts that runs on internet of things (IoT). Cities around the world are getting “smarter” every day through the implementation of internet of things (IoT) devices. Cities around the world are implementing individual concepts on their way to becoming smart. The services are automated and integrated end to end using internet of things (IoT) devices. The chapter presents an array of internet of things (IoT) applications. Also, cyber physical systems are becoming more vulnerable since the internet of things (IoT) attacks are common and threatening the security and privacy of such systems. The main aim of this chapter is to bring more research in the application aspects of smart internet of things (IoT).

scholarly journals Efficient Certificateless Anonymous Multi-Receiver Encryption Scheme without Bilinear Parings

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Ronghai Gao ◽  
Jiwen Zeng ◽  
Lunzhi Deng
Keyword(s):  
Mobile Devices ◽  
Security Analysis ◽  
Mobile Network ◽  
Random Oracle Model ◽  
Random Oracle ◽  
Bilinear Pairing ◽  
Internet Technology ◽  
Security And Privacy ◽  
Encryption Scheme ◽  
The Troubles

With the growing development of Internet technology and popularization of mobile devices, we easily access the Internet anytime and anywhere by mobile devices. It has brought great convenience for our lives. But it brought more challenges than traditional wired communication, such as confidentiality and privacy. In order to improve security and privacy protection in using mobile network, numerous multi-receiver identity-based encryption schemes have been proposed with bilinear pairing and probabilistic hap-to-point (HTP) function. To address the troubles of private key escrow in multi-receiver encryption scheme based on ID-PKC, recently, some certificateless anonymous multi-receiver encryption (CLAMRE) schemes are introduced. But previous CLAMRE schemes using the bilinear pairing are not suitable to mobile device because the use of bilinear pairing and probabilistic hash-to-point (HTP) function results in expensive operation costs in encryption or decryption. In this paper, we propose an efficient CLAMRE scheme using elliptic curve cryptography (ECC) without bilinear pairing and HTP hash function. Since our scheme does not use bilinear pairing and HTP operation during the encryption and decryption process, the proposed CLAMRE scheme has much less computation cost than the latest CLAMRE schemes. Performance analysis shows that runtime of our scheme is much less when the sender generates ciphertext, compared with existing schemes. Security analysis shows proposed CLAMRE scheme provides confidentiality of message and receiver anonymity under the random oracle model with the difficulties of decision Diffie-Hellman problem and against the adversaries defined in CL-PKC system.

Enabling Confidentiality for ADS-B Broadcast Messages Based on Format-Preserving Encryption

2014 ◽  
Vol 543-547 ◽  
pp. 2032-2035 ◽  
Author(s):  
Rong Shun Huang ◽  
Hao Miao Yang ◽  
Hong Gang Wu
Keyword(s):  
Cyber Security ◽  
Traffic Control ◽  
Security Analysis ◽  
Data Encryption ◽  
Limited Resources ◽  
Encryption Scheme ◽  
Computationally Efficient ◽  
Security Vulnerabilities ◽  
Efficient Data ◽  
Aircraft Data

The automatic dependent surveillance-broadcast (ADS-B) system is the backbone of the next-gen air traffic control (ATC) modernization plan. Unfortunately, ADS-B system suffers from serious cyber-security vulnerabilities due to the open broadcast of aircraft data, without regard to message confidentiality. However, using common encryption scheme to provide confidentiality of ADS-B data is not a good solution, because encrypting data with ordinary cryptosystem would violate the original openness intention of ADS-B system design. In this paper, based on the new format-preserving encryption (FPE), we present an efficient data encryption scheme for the ADS-B data. The security analysis demonstrates that our scheme can achieve confidentiality of ADS-B data. The performance evaluation shows that the scheme is computationally efficient for the typical avionics devices with limited resources.

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