scholarly journals Future Spaces: Reinventing the Home Network for Better Security and Automation in the IoT Era

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2986 ◽  
Author(s):  
Mathieu Boussard ◽  
Dinh Thai Bui ◽  
Richard Douville ◽  
Pascal Justen ◽  
Nicolas Le Sauze ◽  
...  
Keyword(s):  
Data Privacy ◽  
Smart Homes ◽  
Home Network ◽  
Home Networks ◽  
Privacy And Security ◽  
Fine Grained ◽  
Definition Of ◽  
Multiple Domains ◽  
Networking Security ◽  
The Internet Of Things

Cyber-Physical Systems (CPSs) are complex systems comprising computation, physical, and networking assets. Used in various domains such as manufacturing, agriculture, vehicles, etc., they blend the control of the virtual and physical worlds. Smart homes are a peculiar type of CPS where the local networking fundamentals have seen little evolution in the past decades, while the context in which home networks operate has drastically evolved. With the advent of the Internet of Things (IoT), the number and diversity of devices connected to our home networks are exploding. Some of those devices are poorly secured and put users’ data privacy and security at risk. At the same time, administrating a home network has remained a tedious chore, requiring skills from un-savvy users. We present Future Spaces, an end-to-end hardware-software prototype providing fine-grained control over IoT connectivity to enable easy and secure management of smart homes. Relying on Software-Defined Networking-enabled home gateways and the virtualization of network functions in the cloud, we achieve advanced networking security and automation through the definition of isolated, usage-oriented slices. This disrupts how users discover, control and share their connected assets across multiple domains, smoothly adapting to various usage contexts.

Inconsistency Detection-Based LOD in Smart Homes

2021 ◽  
Vol 17 (4) ◽  
pp. 56-75
Author(s):  
Wassila Guebli ◽  
Abdelkader Belkhir
Keyword(s):  
Internet Of Things ◽  
Open Data ◽  
Smart Homes ◽  
The Internet ◽  
Home Network ◽  
Air Conditioner ◽  
Network Infrastructure ◽  
Sound System ◽  
Turn On ◽  
The Internet Of Things

The emergence of the internet of things in the smart homes has given rise to many services to meet the user's expectations. It is possible to control the temperature, the brightness, the sound system, and even the security of the house via a smartphone, at the request of the inhabitant or by scheduling it. This growing number of “things” must deal with material constraints such as home network infrastructure, but also applicative due to the number of proposed services. The heterogeneity of users' preferences often creates conflicts between them like turn on and off light or using a heater and an air conditioner in the same time. To manage these conflicts, the authors proposed a solution based on linked open data (LOD). The LOD allows defining the relation between the different services and things in the house and a better exploitation of the attributes of the inhabitant's profile and services. It consists to find inconsistency relation between the equipment using the antonym thesaurus.

IoT ecosystem faces fragmented future

2019 ◽  
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Supply Chain ◽  
Internet Of Things ◽  
Data Privacy ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Iot Devices ◽  
The Internet Of Things

Subject IoT ecosystem. Significance The market for the Internet of Things (IoT) or connected devices is expanding rapidly, with no manufacturer currently forecast to dominate the supply chain. This has fragmented the emerging IoT ecosystem, triggering questions about interoperability and cybersecurity of IoT devices. Impacts Firms in manufacturing, transportation and logistics and utilities are expected to see the highest IoT spending in coming years. The pace of IoT adoption is inextricably linked to that of related technologies such as 5G, artificial intelligence and cloud computing. Data privacy and security will be the greatest constraint to IoT adoption.

scholarly journals PrivCrowd: A Secure Blockchain-Based Crowdsourcing Framework with Fine-Grained Worker Selection

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Qiliang Yang ◽  
Tao Wang ◽  
Wenbo Zhang ◽  
Bo Yang ◽  
Yong Yu ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Privacy ◽  
Single Point ◽  
Sensitive Information ◽  
Smart Contracts ◽  
Encryption Scheme ◽  
Functional Encryption ◽  
Privacy And Security ◽  
Fine Grained ◽  
Worker Selection

Blockchain-based crowdsourcing systems can mitigate some known limitations of the centralized crowdsourcing platform, such as single point of failure and Sybil attacks. However, blockchain-based crowdsourcing systems still endure the issues of privacy and security. Participants’ sensitive information (e.g., identity, address, and expertise) have the risk of privacy disclosure. Sensitive crowdsourcing tasks such as location-based data collection and labeling images including faces also need privacy-preserving. Moreover, current work fails to balance the anonymity and public auditing of workers. In this paper, we present a secure blockchain-based crowdsourcing framework with fine-grained worker selection, named PrivCrowd which exploits a functional encryption scheme to protect the data privacy of tasks and to select workers by matching the attributes. In PrivCrowd, requesters and workers can achieve both exchange and evaluation fairness by calling smart contracts. Solutions collection also can be done in a secure, sound, and noninteractive way. Experiment results show the feasibility, usability, and efficiency of PrivCrowd.

Transitioning from testbeds to ships: an experience study in deploying the TIPPERS Internet of Things platform to the US Navy

2020 ◽  
pp. 154851292095638 ◽  
Author(s):  
Dave Archer ◽  
Michael A August ◽  
Georgios Bouloukakis ◽  
Christopher Davison ◽  
Mamadou H Diallo ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Situational Awareness ◽  
Differential Privacy ◽  
Fall Detection ◽  
Information Warfare ◽  
Privacy And Security ◽  
Fine Grained ◽  
The Us ◽  
Privacy Enhancing Technologies ◽  
The Internet Of Things

This paper describes the collaborative effort between privacy and security researchers at nine different institutions along with researchers at the Naval Information Warfare Center to deploy, test, and demonstrate privacy-preserving technologies in creating sensor-based awareness using the Internet of Things (IoT) aboard naval vessels in the context of the US Navy’s Trident Warrior 2019 exercise. Funded by DARPA through the Brandeis program, the team built an integrated IoT data management middleware, entitled TIPPERS, that supports privacy by design and integrates a variety of Privacy Enhancing Technologies (PETs), including differential privacy, computation on encrypted data, and fine-grained policies. We describe the architecture of TIPPERS and its use in creating a smart ship that offers IoT-enabled services such as occupancy analysis, fall detection, detection of unauthorized access to spaces, and other situational awareness scenarios. We describe the privacy implications of creating IoT spaces that collect data that might include individuals’ data (e.g., location) and analyze the tradeoff between privacy and utility of the supported PETs in this context.

scholarly journals Intelligent Cyber-Security System for IoT-Aided Drones Using Voting Classifier

Electronics ◽  
2021 ◽  
Vol 10 (23) ◽  
pp. 2926
Author(s):  
Rizwan Majeed ◽  
Nurul Azma Abdullah ◽  
Muhammad Faheem Mushtaq ◽  
Muhammad Umer ◽  
Michele Nappi
Keyword(s):  
Cyber Security ◽  
Data Privacy ◽  
Security And Privacy ◽  
The Internet ◽  
Security Threats ◽  
Privacy And Security ◽  
Proposed Model ◽  
New Challenges ◽  
Secure Network ◽  
The Internet Of Things

Developments in drones have opened new trends and opportunities in different fields, particularly in small drones. Drones provide interlocation services for navigation, and this interlink is provided by the Internet of Things (IoT). However, architectural issues make drone networks vulnerable to privacy and security threats. It is critical to provide a safe and secure network to acquire desired performance. Small drones are finding new paths for progress in the civil and defense industries, but also posing new challenges for security and privacy as well. The basic design of the small drone requires a modification in its data transformation and data privacy mechanisms, and it is not yet fulfilling domain requirements. This paper aims to investigate recent privacy and security trends that are affecting the Internet of Drones (IoD). This study also highlights the need for a safe and secure drone network that is free from interceptions and intrusions. The proposed framework mitigates the cyber security threats by employing intelligent machine learning models in the design of IoT-aided drones by making them secure and adaptable. Finally, the proposed model is evaluated on a benchmark dataset and shows robust results.

The goose that laid the golden eggs: personal data and the Internet of Things

2019 ◽  
Vol 40 (1) ◽  
pp. 48-52 ◽  
Author(s):  
Peter Buell Hirsch
Keyword(s):  
Internet Of Things ◽  
Data Privacy ◽  
Social Issues ◽  
Personal Data ◽  
The Internet ◽  
Privacy And Security ◽  
Content Type ◽  
Secondary Sources ◽  
Blockchain Technology ◽  
The Internet Of Things

Purpose This viewpoint is intended to examine the issue of the monetization of personal data and the risks to companies that fail to understand this trend. Design/methodology/approach This paper reviews the recent literature on the use and abuse of personal data to identify relevant trends and issues. Findings It is likely, whether through blockchain technology or some other means, that individual consumers will be able to monetize their data. Research limitations/implications As a review of secondary sources rather than original sources, the findings are anecdotal and not comprehensive. Practical implications In the rapidly changing environment of data privacy and security, one should anticipate that the findings may become outdated by sudden events such as a new global data privacy breach. Social implications Ownership of personal data and its use or abuse is one of the single most important social issues in today’s world, with profound implications for civil society. Originality/value While there have been numerous studies cataloguing attempts to create monetization platforms for consumer data, there are not many studies on the reputational risks for companies in handling data from the Internet of Things.

scholarly journals Convergence between Blockchain and the Internet of Things

2021 ◽  
Vol 1 (1) ◽  
pp. 34-53
Author(s):  
Alma Cruz
Keyword(s):  
Data Privacy ◽  
Hybrid Approach ◽  
Multiple Regression Model ◽  
The Internet ◽  
Smart Contracts ◽  
Consensus Protocol ◽  
Privacy And Security ◽  
Iot Devices ◽  
Convergence Model ◽  
The Internet Of Things

The objective of this study was to determine the effectiveness of a particular convergencemodel for IoT and blockchain. Multiple regression model was selected to determine the effectiveof a specific convergence model. Three convergence models were selected for this study, includingthe hybrid approach, the IoT-blockchain approach, and the IoT-IoT approach. The findingsindicated that there are issues with convergence between two different technologies. The otherfinding was that the hybrid model provided the best convergence platform for integrating IoT withblockchain. Regarding the IoT and blockchain, convergence challenges included the limitedcapacity of IoT devices to handle the nature of distributed ledgers. The recommendation is that theaspects of traditional blockchain should be redesigned because of new requirements of IoT,including smart contracts, consensus protocol, data privacy, and security.

scholarly journals Enabling privacy and security in Cloud of Things: Architecture, applications, security & privacy challenges

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ado Adamou Abba Ari ◽  
Olga Kengni Ngangmo ◽  
Chafiq Titouna ◽  
Ousmane Thiare ◽  
Kolyang ◽  
...  
Keyword(s):  
Data Privacy ◽  
Security And Privacy ◽  
Growing Up ◽  
Privacy And Security ◽  
Privacy Concerns ◽  
Security Issues ◽  
Important Amount ◽  
Iot Devices ◽  
Privacy Issues ◽  
The Internet Of Things

The Cloud of Things (IoT) that refers to the integration of the Cloud Computing (CC) and the Internet of Things (IoT), has dramatically changed the way treatments are done in the ubiquitous computing world. This integration has become imperative because the important amount of data generated by IoT devices needs the CC as a storage and processing infrastructure. Unfortunately, security issues in CoT remain more critical since users and IoT devices continue to share computing as well as networking resources remotely. Moreover, preserving data privacy in such an environment is also a critical concern. Therefore, the CoT is continuously growing up security and privacy issues. This paper focused on security and privacy considerations by analyzing some potential challenges and risks that need to be resolved. To achieve that, the CoT architecture and existing applications have been investigated. Furthermore, a number of security as well as privacy concerns and issues as well as open challenges, are discussed in this work.

scholarly journals Decentralized Data Aggregation: A New Secure Framework Based on Lightweight Cryptographic Algorithms

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xin Xie ◽  
Yu-Chi Chen
Keyword(s):  
Data Aggregation ◽  
Data Privacy ◽  
Differential Privacy ◽  
Security Requirements ◽  
Cryptographic Primitives ◽  
Privacy And Security ◽  
System A ◽  
Iot Devices ◽  
Access Data ◽  
The Internet Of Things

Blockchain has become very popular and suitable to the Internet of Things (IoT) field due to its nontamperability and decentralization properties. The number of IoT devices and leaders (who own IoT devices) is increased exponentially, and thus, data privacy and security are undoubtedly significant concerns. In this paper, we summarize some issues for the BeeKeeper system, a blockchain-based IoT system, proposed by Zhou et al., and then aim for presenting an improved solution for decentralized data aggregation (DDA) on IoT. Firstly, we formally state the security requirements of DDA. Secondly, we propose our basic DDA system by using secret sharing to improve its efficiency and smart contracts as the computing processors. Moreover, the proposed full-fledged system achieves data sharing (e.g., a leader to access data of others’ devices), which is realized by using local differential privacy and cryptographic primitives such as token-based encryption. Finally, to show the feasibility, we provide some implementations and experiments for the DDA systems.

scholarly journals An Attribute-Based Collaborative Access Control Scheme Using Blockchain for IoT Devices

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 285 ◽  
Author(s):  
Yan Zhang ◽  
Bing Li ◽  
Ben Liu ◽  
Jiaxin Wu ◽  
Yazhou Wang ◽  
...  
Keyword(s):  
Access Control ◽  
Security Analysis ◽  
Proof Of Concept ◽  
Privacy And Security ◽  
Fine Grained ◽  
Control Scheme ◽  
Attribute Based Access Control ◽  
Iot Devices ◽  
Authorized Access ◽  
The Internet Of Things

The Internet of Things (IoT) benefits our lives by integrating physical devices to the real world and offers a crucial internet infrastructure for future civilization. Because IoT devices are widely distributed and restricted in resources, it is difficult for them to adopt traditional security methods to resist malicious attacks. Unauthorized access to IoT devices, which results in severe privacy and security problems, has become a major challenge that has impeded IoT technology from being widely adopted. Therefore, the access control for IoT devices urgently needs to be improved when dealing with authorization issues. In this paper, we propose an attribute-based access control scheme that provides decentralized, flexible, and fine-grained authorization for IoT devices. Blockchain is utilized to provide authentic and reliable credentials. More importantly, a verifiable collaboration mechanism is designed to meet the needs of controlled access authorization in emergencies. Authority nodes are constructed to execute major computation tasks and interact with the blockchain. The security analysis shows that our scheme can reliably guarantee the security of authorized access. More than security assurance, a proof-of-concept prototype has been implemented to prove that our scheme is scalable, efficient, and accommodates IoT devices well.

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