scholarly journals Security and Privacy in Internet of Things-Enabled Smart Cities: Challenges and Future Directions

2020 ◽  
pp. 0-0 ◽  
Author(s):  
Jose Luis Hernandez-Ramos ◽  
Juan Antonio Martinez ◽  
Vincenzo Savarino ◽  
Marco Angelini ◽  
Vincenzo Napolitano ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Security And Privacy ◽  
Future Directions

scholarly journals Secure Rate Control and Statistical QoS Provisioning for Cloud-Based IoT Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Irfan Muhammad ◽  
Hirley Alves ◽  
Onel Alcaraz López ◽  
Matti Latva-aho
Keyword(s):  
Internet Of Things ◽  
Interference Cancellation ◽  
Smart Cities ◽  
Security And Privacy ◽  
Throughput Maximization ◽  
Closed Form Expression ◽  
Effective Capacity ◽  
Alternative Formulation ◽  
Artificial Noise ◽  
Qos Provisioning

The Internet of Things (IoT) facilitates physical things to detect, interact, and execute activities on-demand, enabling a variety of applications such as smart homes and smart cities. However, it also creates many potential risks related to data security and privacy vulnerabilities on the physical layer of cloud-based Internet of Things (IoT) networks. These can include different types of physical attacks such as interference, eavesdropping, and jamming. As a result, quality-of-service (QoS) provisioning gets difficult for cloud-based IoT. This paper investigates the statistical QoS provisioning of a four-node cloud-based IoT network under security, reliability, and latency constraints by relying on the effective capacity model to offer enhanced QoS for IoT networks. Alice and Bob are legitimate nodes trying to communicate with secrecy in the considered scenario, while an eavesdropper Eve overhears their communication. Meanwhile, a friendly jammer, which emits artificial noise, is used to degrade the wiretap channel. By taking advantage of their multiple antennas, Alice implements transmit antenna selection, while Bob and Eve perform maximum-ratio combining. We further assume that Bob decodes the artificial noise perfectly and thus removes its contribution by implementing perfect successive interference cancellation. A closed-form expression for an alternative formulation of the outage probability, conditioned upon the successful transmission of a message, is obtained by considering adaptive rate allocation in an ON-OFF transmission. The data arriving at Alice’s buffer are modeled by considering four different Markov sources to describe different IoT traffic patterns. Then, the problem of secure throughput maximization is addressed through particle swarm optimization by considering the security, latency, and reliability constraints. Our results evidence the considerable improvements on the delay violation probability by increasing the number of antennas at Bob under strict buffer constraints.

scholarly journals Erratum to “Text Data Security and Privacy in the Internet of Things: Threats, Challenges, and Future Directions”

2021 ◽  
Vol 2021 ◽  
pp. 1-1
Author(s):  
Umair Khadam ◽  
Muhammad Munwar Iqbal ◽  
Meshrif Alruily ◽  
Mohammed A. Al Ghamdi ◽  
Muhammad Ramzan ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Data Security ◽  
Security And Privacy ◽  
The Internet ◽  
Text Data ◽  
Future Directions ◽  
The Internet Of Things

scholarly journals A Survey on IoT related Security Issues, Challenges And their Solutions

2020 ◽  
pp. 378-383
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Smart Homes ◽  
Human Interaction ◽  
Security And Privacy ◽  
The Internet ◽  
Security Issues ◽  
High Interest ◽  
The Future ◽  
The Internet Of Things

The future of Internet of Things (IoT) is already upon us. The Internet of Things (IoT) is the ability to provide everyday devices with a way of identification and another way for communication with each other. The spectrum of IoT application domains is very large including smart homes, smart cities, wearables, e-health, etc. Consequently, tens and even hundreds of billions of devices will be connected. Such devices will have smart capabilities to collect, analyze and even make decisions without any human interaction. Security is a supreme requirement in such circumstances, and in particular authentication is of high interest given the damage that could happen from a malicious unauthenticated device in an IoT system. While enjoying the convenience and efficiency that IoT brings to us, new threats from IoT also have emerged. There are increasing research works to ease these threats, but many problems remain open. To better understand the essential reasons of new threats and the challenges in current research, this survey first proposes the concept of “IoT features”. Then, the security and privacy effects of eight IoT new features were discussed including the threats they cause, existing solutions and challenges yet to be solved.

scholarly journals FIViz: Forensics Investigation through Visualization for Malware in Internet of Things

2020 ◽  
Vol 12 (18) ◽  
pp. 7262
Author(s):  
Israr Ahmad ◽  
Munam Ali Shah ◽  
Hasan Ali Khattak ◽  
Zoobia Ameer ◽  
Murad Khan ◽  
...  
Keyword(s):  
Decision Support ◽  
Internet Of Things ◽  
Decision Support Systems ◽  
Support Systems ◽  
Smart Cities ◽  
Security And Privacy ◽  
The Internet ◽  
Data Set ◽  
Raw Data ◽  
Internet Of Medical Things

Adoption of the Internet of Things for the realization of smart cities in various domains has been pushed by the advancements in Information Communication and Technology. Transportation, power delivery, environmental monitoring, and medical applications are among the front runners when it comes to leveraging the benefits of IoT for improving services through modern decision support systems. Though with the enormous usage of the Internet of Medical Things, security and privacy become intrinsic issues, thus adversaries can exploit these devices or information on these devices for malicious intents. These devices generate and log large and complex raw data which are used by decision support systems to provide better care to patients. Investigation of these enormous and complicated data from a victim’s device is a daunting and time-consuming task for an investigator. Different feature-based frameworks have been proposed to resolve this problem to detect early and effectively the access logs to better assess the event. But the problem with the existing approaches is that it forces the investigator to manually comb through collected data which can contain a huge amount of irrelevant data. These data are provided normally in textual form to the investigators which are too time-consuming for the investigations even if they can utilize machine learning or natural language processing techniques. In this paper, we proposed a visualization-based approach to tackle the problem of investigating large and complex raw data sets from the Internet of Medical Things. Our contribution in this work is twofold. Firstly, we create a data set through a dynamic behavioral analysis of 400 malware samples. Secondly, the resultant and reduced data set were then visualized most feasibly. This is to investigate an incident easily. The experimental results show that an investigator can investigate large amounts of data in an easy and time-efficient manner through the effective use of visualization techniques.

Internet of Things for Noise Mapping in Smart Cities: State of the Art and Future Directions

IEEE Network ◽  
2020 ◽  
Vol 34 (4) ◽  
pp. 112-118
Author(s):  
Ye Liu ◽  
Xiaoyuan Ma ◽  
Lei Shu ◽  
Qing Yang ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Smart Cities ◽  
Noise Mapping ◽  
Future Directions

scholarly journals An efficient anonymous authentication and key agreement scheme with privacy-preserving for smart cities

2021 ◽  
Vol 17 (6) ◽  
pp. 155014772110268
Author(s):  
Xueya Xia ◽  
Sai Ji ◽  
Pandi Vijayakumar ◽  
Jian Shen ◽  
Joel J. P. C. Rodrigues
Keyword(s):  
Internet Of Things ◽  
Privacy Preservation ◽  
Key Agreement ◽  
Smart Cities ◽  
Security Analysis ◽  
Security And Privacy ◽  
Experimental Simulation ◽  
Authentication And Key Agreement ◽  
Anonymous Authentication ◽  
Evaluation Mechanism

Internet of Things devices are responsible for collecting and transmitting data in smart cities, assisting smart cities to release greater potential. As Internet of Things devices are increasingly connected to smart cities, security and privacy have gradually become important issues. Recently, research works on mitigating security challenges of Internet of Things devices in smart cities mainly focused on authentication. However, in most of the existing authentication protocols, the trustworthiness evaluation of Internet of Things devices in smart cities is ignored. Considering the trustworthiness evaluation of Internet of Things devices is an important constituent of data source authentication, in this article, a cloud-aided trustworthiness evaluation mechanism is first designed to improve the credibility of the Internet of Things devices in smart cities. Furthermore, aiming at the problem that the user’s privacy is easy to leak in the process of authentication, an anonymous authentication and key agreement scheme based on non-interactive zero knowledge argument is proposed. The proposed scheme can ensure the privacy preservation and data security of Internet of Things devices in smart cities. The security analysis demonstrates that the proposed scheme is secure under q-SDH problem. The experimental simulation indicates that the performance of the proposal is greatly improved compared with other similar schemes.

scholarly journals Blockchains: Improve the Scalability and Efficiency of Conventional Blockchain by Providing a Lightweight Block Mining and Communication Algorithm

2020 ◽  
Vol 25 (6) ◽  
pp. 737-745
Author(s):  
Subba Rao Peram ◽  
Premamayudu Bulla
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Smart Cities ◽  
Hybrid Approach ◽  
Security And Privacy ◽  
Public Key ◽  
The Internet ◽  
Byzantine Fault Tolerance ◽  
Complex Issue ◽  
The Internet Of Things

To provide secure and reliable services using the internet of things (IoT) in the smart cities/villages is a challenging and complex issue. A high throughput and resilient services are required to process vast data generated by the smart city/villages that felicitates to run the applications of smart city. To provide security and privacy a scalable blockchain (BC) mechanism is a necessity to integrate the scalable ledger and transactions limit in the BC. In this paper, we investigated the available solutions to improve its scalability and efficiency. However, most of the algorithms are not providing the better solution to achieve scalability for the smart city data. Here, proposed and implemented a hybrid approach to improve the scalability and rate of transactions on BC using practical Byzantine fault tolerance and decentralized public key algorithms. The proposed Normachain is compares our results with the existing model. The results show that the transaction rate got improved by 6.43% and supervision results got improved by 17.78%.

Middleware Approach to Enhance the Security and Privacy in the Internet of Things

2020 ◽  
pp. 169-192
Author(s):  
Vikash ◽  
Lalita Mishra ◽  
Shirshu Varma
Keyword(s):  
Internet Of Things ◽  
Secure Communication ◽  
Basic Feature ◽  
Security And Privacy ◽  
The Internet ◽  
End User ◽  
Future Directions ◽  
Research Areas ◽  
Pervasive Environment ◽  
The Internet Of Things

Internet of things is one of the most rapidly growing research areas. Nowadays, IoT is applicable in various diverse areas because of its basic feature i.e., anything would be available to anyone at anytime. Further, IoT aims to provide service in a pervasive environment, although different problems crop up when the researchers move towards pervasiveness. Security and Privacy are the most intense problems in the field of IoT. There are various approaches available to handle these issues: Architectural security, Database security, Secure communication, and Middleware approaches. This chapter's authors concentrate on middleware approach from the security and privacy perceptive. Middleware can provide security by separating the end user from the actual complex system. Middleware also hides the actual complexity of the system from the user. So, the user will get the seamless services with no threats to security or privacy. This chapter provides a brief overview of secure middlewares and suggests the current research gaps as future directions.

The Role of IoT in Digital Governance

2020 ◽  
pp. 128-150
Author(s):  
Azeem Khan ◽  
N. Z. Jhanjhi ◽  
Mamoona Humayun ◽  
Muneer Ahmad
Keyword(s):  
Internet Of Things ◽  
Great Risk ◽  
Electronic Devices ◽  
Security And Privacy ◽  
Smart Devices ◽  
The Internet ◽  
Future Directions ◽  
Digital Governance ◽  
Exchange Data

The acronym IoT stands for internet of things. The IoT ecosystem can be envisioned as a set of physical electronic devices embedded with intelligence, connected through a network, enabling them to collect and exchange data, and allowing these devices to be sensed and handled remotely between the physical and cyber worlds. The devices connected through the internet has been influencing all walks of our life ranging from individual, societal, educational, industrial, entrepreneurial, and related to governance as well. As we are connected and surrounded with a plethora of connected smart devices, it seems there is a great risk of security and privacy in several aspects, such as device authentication, data theft, device manipulation, data falsification, etc., to name a few. Hence, the current chapter has been undertaken to explore and comprehend the security and privacy related implications, opportunities, future directions, and challenges involved in implementing digital governance with IoT.

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