Big data challenges and data aggregation strategies in wireless sensor networks

S Boubiche, DE Boubiche, A Bilami… - IEEE access, 2018 - ieeexplore.ieee.org
The emergence of new data handling technologies and analytics enabled the organization
of big data in processes as an innovative aspect in wireless sensor networks (WSNs). Big …

A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications

J Lin, W Yu, N Zhang, X Yang… - IEEE internet of things …, 2017 - ieeexplore.ieee.org
Fog/edge computing has been proposed to be integrated with Internet of Things (IoT) to
enable computing services devices deployed at network edge, aiming to improve the user's …

Secure healthcare data aggregation and transmission in IoT—A survey

A Ullah, M Azeem, H Ashraf, AA Alaboudi… - IEEE …, 2021 - ieeexplore.ieee.org
Internet of medical things (IoMT) is getting researchers' attention due to its wide applicability
in healthcare. Smart healthcare sensors and IoT enabled medical devices exchange data …

[HTML][HTML] Data fusion for network intrusion detection: a review

G Li, Z Yan, Y Fu, H Chen - Security and Communication Networks, 2018 - hindawi.com
Rapid progress of networking technologies leads to an exponential growth in the number of
unauthorized or malicious network actions. As a component of defense-in-depth, Network …

Understanding market agility for new product success with big data analytics

N Hajli, M Tajvidi, A Gbadamosi, W Nadeem - Industrial Marketing …, 2020 - Elsevier
The complexity that characterises the dynamic nature of the various environmental factors
makes it very compelling for firms to be capable of addressing the changing customers' …

[HTML][HTML] Evolutionary privacy-preserving learning strategies for edge-based IoT data sharing schemes

Y Shen, S Shen, Q Li, H Zhou, Z Wu, Y Qu - Digital Communications and …, 2023 - Elsevier
The fast proliferation of edge devices for the Internet of Things (IoT) has led to massive
volumes of data explosion. The generated data is collected and shared using edge-based …

An efficient and scalable privacy preserving algorithm for big data and data streams

MAP Chamikara, P Bertók, D Liu, S Camtepe… - Computers & Security, 2019 - Elsevier
A vast amount of valuable data is produced and is becoming available for analysis as a
result of advancements in smart cyber-physical systems. The data comes from various …

Privacy prevention of big data applications: A systematic literature review

F Rafiq, MJ Awan, A Yasin, H Nobanee… - SAGE …, 2022 - journals.sagepub.com
This paper focuses on privacy and security concerns in Big Data. This paper also covers the
encryption techniques by taking existing methods such as differential privacy, k-anonymity, T …

EBDS: An energy-efficient big data-based secure framework using Internet of Things for green environment

K Haseeb, S Lee, G Jeon - Environmental Technology & Innovation, 2020 - Elsevier
Abstract The Internet of Things (IoT) has a rapid growth in the development of smart and
green environments. The IoT-based physical objects are interconnected with sensors …

Improving data utility through game theory in personalized differential privacy

L Cui, Y Qu, MR Nosouhi, S Yu, JW Niu… - Journal of Computer …, 2019 - Springer
Due to dramatically increasing information published in social networks, privacy issues have
given rise to public concerns. Although the presence of differential privacy provides privacy …