Results 71 to 80 of about 22,040,867 (216)
Behavior Abstraction in Malware Analysis [PDF]
We present an approach for proactive malware detection by working on an abstract representation of a program behavior. Our technique consists in abstracting program traces, by rewriting given subtraces into abstract symbols representing their functionality.
Beaucamps, Philippe +2 more
openaire +2 more sources
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury +2 more
wiley +1 more source
Detecting and combating Malware [PDF]
This master thesis observes a process improvement on detecting Malware, although new methods for combating malware have been developed, it is still difficult to communicate and share useful information garnered through these techniques without ambiguity ...
Kingsley Ezechi, Azuama
core
An Open Source, Extensible Malware Analysis Platform
A malware (such as viruses, ransomware) is the main source of bringing serious security threats to the IT systems and their users now-adays. In order to protect the systems and their legitimate users from these threats, anti-malware applications are ...
Michalopoulos P. +3 more
doaj +1 more source
A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems
ABSTRACT Artificial intelligence (AI) is rapidly changing the world, from completely controlling routine or mundane tasks like text and image generation, to powering advanced algorithms that control critical systems. The recent advances in generative AI quickly overwhelmed multiple industries from education to finance as first adopters rushed (and ...
Vincent P. Paglioni, Torrey Mortenson
wiley +1 more source
Classification of Malware Images Using Fine-Tunned ViT
Malware detection and classification have become critical tasks in ensuring the security and integrity of computer systems and networks. Traditional methods of malware analysis often rely on signature-based approaches, which struggle to cope with the ...
Özal Yıldırım, Oğuzhan Katar
doaj +1 more source
By manipulating current and voltage measurements, an assailant can induce unwanted relay action while attempting to avoid detection. Detecting advanced cyber intrusions in power protection environments requires specialised data analysis and anomaly detection methods.
Feras Alasali +6 more
wiley +1 more source
Deep Belief Networks-based framework for malware detection in Android systems
Malware is the umbrella term that denotes attacking any system by malicious software. During the last few years, the popularity of Android smartphones led to the sneak of several malware applications into different Android markets without any difficulty.
Dina Saif, S.M. El-Gokhy, E. Sallam
doaj +1 more source
Security Assessment of Private Package Repositories: An Experience on Acc‐Py at CERN
ABSTRACT The introduction of package managers had a huge impact on software development, as they facilitate dependency management and the access to reusable code components. However, reliance on centralized repositories introduces security risks, as they are increasingly exploited in supply chain attacks.
Michele Lizzit +3 more
wiley +1 more source
Reverse Engineering untuk Analisis Malware Remote Access Trojan
Para hacker menggunakan malware Remote Access Trojan untuk merusak sistem kemudian mencuri data para korbannya. Diperlukan analisis mendalam mengenai malware baru-baru ini karena malware dapat berkamuflase seperti sistem tidak dicurigai.
Tesa Pajar Setia +2 more
doaj +1 more source

