Network intrusion detection system: A systematic study of machine learning and deep learning approaches

Z Ahmad, A Shahid Khan, C Wai Shiang… - Transactions on …, 2021 - Wiley Online Library
The rapid advances in the internet and communication fields have resulted in a huge
increase in the network size and the corresponding data. As a result, many novel attacks are …

Detection and classification of multirotor drones in radar sensor networks: A review

A Coluccia, G Parisi, A Fascista - Sensors, 2020 - mdpi.com
Thanks to recent technological advances, a new generation of low-cost, small, unmanned
aerial vehicles (UAVs) is available. Small UAVs, often called drones, are enabling …

Internet of drones security and privacy issues: Taxonomy and open challenges

M Yahuza, MYI Idris, IB Ahmedy, AWA Wahab… - IEEE …, 2021 - ieeexplore.ieee.org
Internet of Drones (IoD) is a decentralized network and management framework that links
drones' access to the controlled airspace and provides inter-location navigation services …

Cyber security intrusion detection for agriculture 4.0: Machine learning-based solutions, datasets, and future directions

MA Ferrag, L Shu, O Friha… - IEEE/CAA Journal of …, 2021 - ieeexplore.ieee.org
In this paper, we review and analyze intrusion detection systems for Agriculture 4.0 cyber
security. Specifically, we present cyber security threats and evaluation metrics used in the …

Security threats and mitigation techniques in UAV communications: A comprehensive survey

GK Pandey, DS Gurjar, HH Nguyen, S Yadav - IEEE Access, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) have been instrumental in enabling many new
applications and services, including military and rescue operations, aerial surveillance …

Drone forensics and machine learning: Sustaining the investigation process

Z Baig, MA Khan, N Mohammad, GB Brahim - Sustainability, 2022 - mdpi.com
Drones have been increasingly adopted to address several critical challenges faced by
humanity to provide support and convenience. The technological advances in the broader …

A comprehensive collection and analysis model for the drone forensics field

FM Alotaibi, A Al-Dhaqm, YD Al-Otaibi, AA Alsewari - Sensors, 2022 - mdpi.com
Unmanned aerial vehicles (UAVs) are adaptable and rapid mobile boards that can be
applied to several purposes, especially in smart cities. These involve traffic observation …

Boosting the long range sensing potential of lora

B **e, M Cui, D Ganesan, X Chen, J **ong - Proceedings of the 21st …, 2023 - dl.acm.org
Wireless sensing is capable of capturing rich information of human target without requiring
sensors attached to the target. Although promising, two critical issues still exist, ie,(i) limited …

When Free Tier Becomes Free to Enter: A Non-Intrusive Way to Identify Security Cameras with no Cloud Subscription

Y He, Q He, S Fang, Y Liu - Proceedings of the 2023 ACM SIGSAC …, 2023 - dl.acm.org
Wireless security cameras may deter intruders. Accompanying the hardware, consumers
may pay recurring monthly fees for recording videos to the cloud, or use the free tier offering …

Toward enhancing web privacy on HTTPS traffic: A novel SuperLearner attack model and an efficient defense approach with adversarial examples

M Abolfathi, S Inturi, F Banaei-Kashani, JH Jafarian - Computers & Security, 2024 - Elsevier
Web privacy-enhancing technologies have been grown to preserve the users' privacy
against sophisticated traffic analysis attacks aimed at inferring sensitive information. An …