Results 21 to 30 of about 66,060 (274)

Rethinking Digital Forensics [PDF]

open access: yes, 2019
© IAER 2019In the modern socially-driven, knowledge-based virtual computing environment in which organisations are operating, the current digital forensics tools and practices can no longer meet the need for scientific rigour.
Jones, Andrew, Vidalis, Stilianos
core   +4 more sources

HDLNIDS: Hybrid Deep-Learning-Based Network Intrusion Detection System

open access: yesApplied Sciences, 2023
Attacks on networks are currently the most pressing issue confronting modern society. Network risks affect all networks, from small to large. An intrusion detection system must be present for detecting and mitigating hostile attacks inside networks ...
Emad Ul Haq Qazi   +2 more
doaj   +1 more source

Institut za medicinska istraživanja i medicinu rada: Izvještaj o radu u 2005. [PDF]

open access: yes, 2006
The field of digital forensics has emerged as one of the fastest changing and most rapidly developing investigative specialisations in a wide range of criminal and civil cases.
Hanaei, Ebrahim Hamad Al, Rashid, Awais
core   +1 more source

Digital forensics [PDF]

open access: yes, 2021
This chapter describes a network discovery technique on the basis of websites sharing the same Google Analytics and/or AdSense IDs.
  +5 more sources

Determining Training Needs for Cloud Infrastructure Investigations using I-STRIDE [PDF]

open access: yes, 2015
As more businesses and users adopt cloud computing services, security vulnerabilities will be increasingly found and exploited. There are many technological and political challenges where investigation of potentially criminal incidents in the cloud are ...
AS Sodiya   +12 more
core   +1 more source

Deep Learning-Based Digital Image Forgery Detection System

open access: yesApplied Sciences, 2022
The advancements of technology in every aspect of the current age are leading to the misuse of data. Researchers, therefore, face the challenging task of identifying these manipulated forms of data and distinguishing the real data from the manipulated ...
Emad Ul Haq Qazi   +2 more
doaj   +1 more source

A One-Dimensional Convolutional Neural Network (1D-CNN) Based Deep Learning System for Network Intrusion Detection

open access: yesApplied Sciences, 2022
The connectivity of devices through the internet plays a remarkable role in our daily lives. Many network-based applications are utilized in different domains, e.g., health care, smart environments, and businesses.
Emad Ul Haq Qazi   +2 more
doaj   +1 more source

Using smartphones as a proxy for forensic evidence contained in cloud storage services [PDF]

open access: yes, 2013
Cloud storage services such as Dropbox, Box and SugarSync have been embraced by both individuals and organizations. This creates an environment that is potentially conducive to security breaches and malicious activities.
Glisson, W., Grispos, G., Storer, T.
core   +2 more sources

Snap Forensics: A Tradeoff between Ephemeral Intelligence and Persistent Evidence Collection [PDF]

open access: yes, 2017
Digital evidence needs to be made persistent so that it can be used later. For citizen forensics, sometimes intelligence cannot or should not be made persistent forever.
Tun, Thein, Yu, Yijun
core   +1 more source

Semi-Supervised Contrastive Learning for Few-Shot Segmentation of Remote Sensing Images

open access: yesRemote Sensing, 2022
Deep learning has been widely used in remote sensing image segmentation, while a lack of training data remains a significant issue. The few-shot segmentation of remote sensing images refers to the segmenting of novel classes with a few annotated samples.
Yadang Chen   +4 more
doaj   +1 more source

Home - About - Disclaimer - Privacy