Results 41 to 50 of about 2,054,840 (293)

YOLOAL: Focusing on the Object Location for Detection on Drone Imagery

IEEE Access, 2023
Object detection in drone-captured scenarios, which can be considered as a task of detecting dense small objects, is still a challenge. Drones navigate at different altitudes, causing significant changes in the size of the detected objects and posing a ...
Xinting Chen, Wenzhu Yang, Shuang Zeng, Lei Geng, Yanyan Jiao   +4 more
doaj   +1 more source

Attribution of Cyber Attacks on Industrial Control Systems [PDF]

EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2016
In order to deter or prosecute for cyber attacks on industrial control systems it is necessary to assign attribution to the attacker and define the type of attack so that international law enforcement agencies or national governments can decide on ...
Allan Cook, Andrew Nicholson, Helge Janicke, Leandros Maglaras, Richard Smith   +4 more
doaj   +1 more source

Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis

IEEE Access, 2021
In this article, we present a comprehensive study with an experimental analysis of federated deep learning approaches for cyber security in the Internet of Things (IoT) applications. Specifically, we first provide a review of the federated learning-based
M. Ferrag, Othmane Friha, L. Maglaras, H. Janicke, Lei Shu   +4 more
semanticscholar   +1 more source

Кибербезопасность в образовательных сетях [PDF]

, 2020
The paper discusses the possible impact of digital space on a human, as well as human-related directions in cyber-security analysis in the education: levels of cyber-security, social engineering role in cyber-security of education, “cognitive vaccination”
Burov, Oleksandr, Krylova-Grek, Yuliya, Lavrov, Evgeniy, Lytvynova, Svitlana, Orliyk, Olena, Petrenko, Sergiy, Shevchenko, Svitlana, Tkachenko, Oleksii M.   +7 more
core   +1 more source

A Comprehensive Review on Cyber-Attacks in Power Systems: Impact Analysis, Detection, and Cyber Security

IEEE Access
Continuous communication and information technology advancements facilitate the modernization of the conventional energy grid into an integrated platform.
Naveen Tatipatri, S. L. Arun
semanticscholar   +1 more source

Hate Speech Detection Using Machine Learning: A Survey

Academy Journal of Science and Engineering, 2023
Currently hate speech is a growing challenge for society, individuals, policymakers, and researchers, as social media platforms make it easy to anonymously create and grow online friends and followers, and provide an online forum for debate about ...
Seble, H.,, Muluken, S.,, Edemealem Kingawa, Kafte, T.,, Terefe, F.,, Mekashaw, G.,, Abiyot, B., Senait, T.   +7 more
doaj  

Cyber Security in the Age of Covid-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic

Medicine, Law & Society, 2022
The entire world has been impacted by Covid-19, which has forced the nations to undergo lockdowns, which have opened the new horizons of virtual learning and work from home culture.
Niteesh Kumar Upadhyay, Mahak Rathee
semanticscholar   +1 more source

A comprehensive review of cyber-physical security risks in new power system

Security and Safety
This review systematically examines the multifaceted cyber-physical security risks facing new power systems during the global energy transition, with a focus on three critical dimensions.
Huang Huihui, Song Yunkai, Wei Qiang, Geng Yangyang, Wang Hongmin   +4 more
doaj   +1 more source

Memory access integrity: detecting fine-grained memory access errors in binary code

Cybersecurity, 2019
As one of the most notorious programming errors, memory access errors still hurt modern software security. Particularly, they are hidden deeply in important software systems written in memory unsafe languages like C/C++. Plenty of work have been proposed
Wenjie Li, Dongpeng Xu, Wei Wu, Xiaorui Gong, Xiaobo Xiang, Yan Wang, Fangming gu, Qianxiang Zeng   +7 more
doaj   +1 more source

AI hype as a cyber security risk: the moral responsibility of implementing generative AI in business

AI and Ethics
This paper examines the ethical obligations companies have when implementing generative Artificial Intelligence (AI). We point to the potential cyber security risks companies are exposed to when rushing to adopt generative AI solutions or buying into “AI
Declan Humphreys, Abigail Koay, Dennis Desmond, Erica Mealy   +3 more
semanticscholar   +1 more source