Results 41 to 50 of about 2,126,566 (253)
Memory access integrity: detecting fine-grained memory access errors in binary code
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 +7 more
doaj +1 more source
Continuous communication and information technology advancements facilitate the modernization of the conventional energy grid into an integrated platform.
Naveen Tatipatri, S. Arun
semanticscholar +1 more source
AI hype as a cyber security risk: the moral responsibility of implementing generative AI in business
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 +3 more
semanticscholar +1 more source
Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
In this paper, we present a survey of deep learning approaches for cyber security intrusion detection, the datasets used, and a comparative study. Specifically, we provide a review of intrusion detection systems based on deep learning approaches.
M. Ferrag +3 more
semanticscholar +1 more source
Cyber Security in the Maritime Industry: A Systematic Survey of Recent Advances and Future Trends
The paper presents a classification of cyber attacks within the context of the state of the art in the maritime industry. A systematic categorization of vessel components has been conducted, complemented by an analysis of key services delivered within ...
Mohamed Amine Ben Farah +6 more
semanticscholar +1 more source
Nepenthes Honeypotsbased Botnet Detection
The numbers of the botnet attacks are increasing day by day and the detection of botnet spreading in the network has become very challenging. Bots are having specific characteristics in comparison of normal malware as they are controlled by the remote ...
Sanjeev Kumar +3 more
doaj +1 more source
Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain
In recent years, machine learning algorithms, and more specifically deep learning algorithms, have been widely used in many fields, including cyber security.
Ishai Rosenberg +3 more
semanticscholar +1 more source
Reviewing influence of UTAUT2 factors on cyber security compliance: A literature review [PDF]
Evidence suggests that, regardless of the number of technical controls in place, organizations will still experience security breaches. Organizations spend millions of dollars on their cyber security infrastructure that includes technical and non ...
Alqahtani, M, Braun, R
core +1 more source
In an increasingly digitalized world, small and medium-sized enterprises (SMEs) are exposed to significant cyber threats due to limited security resources.
Ionica ȘERBAN +2 more
doaj +1 more source
YOLOAL: Focusing on the Object Location for Detection on Drone Imagery
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 +4 more
doaj +1 more source

