Results 111 to 120 of about 72,031 (311)

An Intelligent Feature Engineering‐Driven Hybrid Framework for Adversarial Domain Name System Tunneling Detection

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor   +5 more
wiley   +1 more source

What is Hidden Within the Cloud?

open access: yes
Over the past few years cloud computing has become one of the most significant technological trends. The aim of this paper is to discuss the main characteristics of cloud computing, identify the challenges concerning the security and control of ...
Gkritsi, Aikaterini
core  

Assessment of cloud computing readiness of financial institutions in South Africa

open access: yes, 2014
Includes bibliographical references.Cloud Computing (CC) is becoming popular among organisations from different industries in South Africa (SA) because of its promises such as cost reduction, on demand self-service, broad access network, resource pooling,
Akande, Akinlolu Olumide
core  

OntoLogX: Ontology‐Guided Knowledge Graph Extraction From Cybersecurity Logs With Large Language Models

open access: yesAdvanced 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 Comprehensive Survey of Privacy-Enhancing and Trust-Centric Cloud-Native Security Techniques Against Cyber Threats

open access: yesSensors
Cloud-native architecture is becoming increasingly popular in today’s digital environment, driving the demand for robust security precautions to protect infrastructure and applications. This paper examines a variety of privacy-enhancing and trust-centric
Tuba Arif, Byunghyun Jo, Jong Hyuk Park
doaj   +1 more source

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

Data Security and Privacy in Cloud Computing

open access: yesInternational Journal of Distributed Sensor Networks, 2014
Data security has consistently been a major issue in information technology. In the cloud computing environment, it becomes particularly serious because the data is located in different places even in all the globe.
Yunchuan Sun   +3 more
doaj   +1 more source

Ag/Ag2S Nanoparticle‐Based In‐Materio Lightweight Cryptographic System for IoT Edge Security

open access: yesAdvanced Intelligent Systems, EarlyView.
This work presents a nanomaterial‐based in materio encryption method that directly transforms analog signals through nonlinear Ag/Ag2S nanoparticle networks. By exploiting the inherently nonuniform characteristics that arise from random arrangement of nanoparticles as a unique security key, the approach produces highly complex encrypted waveforms ...
Hiroki Tabata   +7 more
wiley   +1 more source

Efficient Dynamic Bloom Filter Hashing Fragmentation for Cloud Data Storage

open access: yesCybernetics and Information Technologies, 2019
Security is important in cloud data storage while using the cloud services provided by the service provider in the cloud. Most of the research works have been designed for a secure cloud data storage.
Jegadeeswari S.   +2 more
doaj   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

open access: yesAdvanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison   +4 more
wiley   +1 more source

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