Privacy preservation using machine learning in the internet of things
The internet of things (IoT) has prepared the way for a highly linked world, in which
everything is interconnected, and information exchange has become more easily accessible …
everything is interconnected, and information exchange has become more easily accessible …
ESIA: An efficient and stable identity authentication for internet of vehicles
Decentralized, tamper-proof blockchain is regarded as a solution to a challenging
authentication issue in the Internet of Vehicles (IoVs). However, the consensus time and …
authentication issue in the Internet of Vehicles (IoVs). However, the consensus time and …
Toward incentivizing fog-based privacy-preserving mobile crowdsensing in the Internet of Vehicles
In the face of a massive number of vehicular users, a data collection paradigm based on
vehicular crowdsensing requires an effective means of attracting participants. Thus, the …
vehicular crowdsensing requires an effective means of attracting participants. Thus, the …
Video surveillance on mobile edge networks—a reinforcement-learning-based approach
Video surveillance systems or Internet of Multimedia Things are playing a more and more
important role in our daily life. To obtain useful surveillance information timely and …
important role in our daily life. To obtain useful surveillance information timely and …
Reinforcement learning based mobile offloading for cloud-based malware detection
X Wan, G Sheng, Y Li, L Xiao… - GLOBECOM 2017-2017 …, 2017 - ieeexplore.ieee.org
Cloud-based malware detection improves the detection performance for mobile devices that
offload their malware detection tasks to security servers with much larger malware database …
offload their malware detection tasks to security servers with much larger malware database …
A review of cloud-based malware detection system: Opportunities, advances and challenges
Cloud computing has an important role in all aspects of storing information and providing
services online. It brings several advantages over traditional storing and sharing schema …
services online. It brings several advantages over traditional storing and sharing schema …
An adaptive method based on contextual anomaly detection in internet of things through wireless sensor networks
X Yu, H Lu, X Yang, Y Chen, H Song… - … Journal of Distributed …, 2020 - journals.sagepub.com
With the widespread propagation of Internet of Things through wireless sensor networks,
massive amounts of sensor data are being generated at an unprecedented rate, resulting in …
massive amounts of sensor data are being generated at an unprecedented rate, resulting in …
HSIRD: A model for characterizing dynamics of malware diffusion in heterogeneous WSNs
S Shen, H Zhou, S Feng, L Huang, J Liu, S Yu… - Journal of Network and …, 2019 - Elsevier
Heterogeneous wireless sensor networks (HWSNs), as blocks of the Internet of Things, are
vulnerable to malware diffusion breaking the data confidentiality and service availability …
vulnerable to malware diffusion breaking the data confidentiality and service availability …
Edge-based IIoT malware detection for mobile devices with offloading
The advent of 5G brought new opportunities to leapfrog beyond current Industrial Internet of
Things (IoT). However, the ever-growing IoT has also attracted adversaries to develop new …
Things (IoT). However, the ever-growing IoT has also attracted adversaries to develop new …
Penetration frameworks and development issues in secure mobile application development: A systematic literature review
IU Haq, TA Khan - IEEE Access, 2021 - ieeexplore.ieee.org
The invention of smartphones has opened a new market for mobile application
development. Amateur android app developers often do not possess knowledge of the latest …
development. Amateur android app developers often do not possess knowledge of the latest …