Results 61 to 70 of about 12,725 (233)
Applied Sciences, 2022 As a result of the rapid advancement of mobile and internet technology, a plethora of new mobile security risks has recently emerged. Many techniques have been developed to address the risks associated with Android malware.
Abimbola G. Akintola +9 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.OntoLogX is an autonomous AI agent that uses large language models to transform unstructured cyber security logs into ontology grounded knowledge graphs. By integrating retrieval augmented generation, iterative correction, and a light‐weight log ontology, OntoLogX produces semantically consistent intelligence that links raw log events to MITRE ATT & CK
Luca Cotti +4 more
wiley +1 more source
A Deep Dive inside DREBIN: An Explorative Analysis beyond Android Malware Detection Scores [PDF]
, 2022 peer reviewedMachine learning (ML) advances have been extensively explored for implementing large-scale malware detection. When reported in the literature, performance evaluation of ML-based detectors generally focuses on highlighting the ratio of ...
DAOUDI, Nadia +3 more
core +1 more source
Decentralised firewall for malware detection [PDF]
2017 International Conference on Advances in Computing, Communication and Control (ICAC3), 2017 This paper describes the design and development of a decentralized firewall system powered by a novel malware detection engine. The firewall is built using blockchain technology. The detection engine aims to classify Portable Executable (PE) files as malicious or benign. File classification is carried out using a deep belief neural network (DBN) as the
Saurabh Raje +3 more
openaire +2 more sources
2012 Seventh International Conference on Availability, Reliability and Security, 2012 Malicious software (malware) represents a threatto the security and privacy of computer users. Traditionalsignature-based and heuristic-based methods are unsuccessfulin detecting some forms of malware. This paper presents amalware detection approach based on supervised learning.
Raja Khurram Shahzad, Niklas Lavesson
openaire +4 more sources
Preface. Detection of Intrusions and Malware, and Vulnerability Assessment
, 2022 S.VIOn behalf of the Program Committee, it is our pleasure to present the proceedings of the 14th International Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA), which took place in Bonn, Germany, during July 6-7 ...
Polychronakis, M., Meier, M.
core
TTGNet-AMD: Android malware detection based on multi-modal feature fusion [PDF]
PeerJ Computer ScienceThe application of static features for Android malware detection has been extensively studied and developed. Existing methods exhibit limitations in both the completeness and discriminability of feature representation, which affects the enhancement of ...
Jiayin Feng +5 more
doaj +2 more sources
A Systems‐Level Approach to Address Risks and Ethics in Artificial Intelligence Systems
Systems Engineering, EarlyView.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
Assessment of a Model‐Based Approach to Achieve Authorization to Operate
Systems Engineering, EarlyView.ABSTRACT Accreditation of United States Government (USG) Information Systems (IS) is required to assure their function and security before delivery to the operational environment. However, in many cases, the baseline document‐based accreditation processes are sources of cost and schedule overruns.
Edan C. Sanchez +2 more
wiley +1 more source
Analysis of Malware Impact on Network Traffic using Behavior-based Detection Technique
, 2020 Malware is a software or computer program that is used to carry out malicious activity. Malware is made with the aim of harming user’s device because it can change user’s data, use up bandwidth and other resources without user\u27s permission.
Almaarif, Ahmad, Muhtadi, Adib Fakhri
core +1 more source