Results 51 to 60 of about 18,128 (154)

DNS fingerprint based on user activity

open access: yesScientific Reports
The Domain Name System (DNS) plays a critical role in the functioning of the Internet, providing essential resolution services for nearly all user activities. In this work, we examine the hypothesis that individual users exhibit recurrent and distinctive
David Morozovič   +2 more
doaj   +1 more source

Foundational Algorithms for Modern Cybersecurity: A Unified Review on Defensive Computation in Adversarial Environments

open access: yesAlgorithms
Cyber defense has evolved into an algorithmically intensive discipline where mathematical rigor and adaptive computation underpin the robustness and continuity of digital infrastructures.
Paul A. Gagniuc
doaj   +1 more source

Passive Image Forensic Method to detect Copy Move Forgery in Digital Images

open access: yesIOSR Journal of Computer Engineering, 2014
Tampering in digital images has become very easy due to the availability of advanced image editing softwares to the users. Images are being tampered in a very efficient manner without leaving any visual clue. As a consequence, the content of digital images cannot be taken as for granted. There are various types of image tampering techniques. One of the
Salma Amtullah, Dr. Ajay Koul
openaire   +1 more source

Boosting Image Forgery Detection using Resampling Features and Copy-move analysis

open access: yes, 2018
Realistic image forgeries involve a combination of splicing, resampling, cloning, region removal and other methods. While resampling detection algorithms are effective in detecting splicing and resampling, copy-move detection algorithms excel in ...
Bappy, Jawadul H.   +8 more
core  

Overcoming Natural Similarity: A DenseNet-Based Approach for Reliable Transform Copy-Move Forgery Identification

open access: yesIEEE Access
Digital image forensics aims to verify the authenticity of an image by determining its origin and any processing it has undergone. Among passive approaches in copy move forgery detection, which analyze images without requiring prior embedded information,
Tanzeela Qazi   +6 more
doaj   +1 more source

Image Forgery Detection Techniques: Latest Trends and Key Challenges

open access: yesIEEE Access
The improvement and accessibility of high-resolution cameras have significantly increased image capturing by various media. Different editing tools are available that are frequently used to improve image quality, resulting in the alteration of images. So,
Poulomi Deb   +3 more
doaj   +1 more source

In-Vitro Study to Check the Viability of Fixed Partial Dentures with Built-in Passive RFIDs- A Forensic Dentistry Tool

open access: yesJOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH, 2019
Introduction: Lack of quick and easy techniques to handle human identification devices during mass disasters like Indian Ocean earthquake and Tsunami (2004), Kedarnath landslide (2013), Kolkata market fire (2013), Chennai flood (2015), and Kerala flood (2018), emphasised on the necessity to develop this tool. Aim: To develop a simple, yet reliable tool
R Venkat   +3 more
openaire   +2 more sources

Nest predation and daily survival rates of three Hawaiian endemic species

open access: yesJournal of Field Ornithology
Specific State Wildlife Sanctuaries have been identified as core wetlands for the recovery of endangered waterbirds in Hawaiʻi. Hawaiian waterbirds require direct management of habitat and invasive predators for their survival.
Aaron J Works   +5 more
doaj   +1 more source

A hybrid model for image forgery detection using deep learning with block and keypoint methods

open access: yesScientific Reports
Digital images serve as crucial evidence in fields like forensics and medicine, yet their reliability is increasingly threatened by sophisticated forgery techniques such as copy-move.
Fatemeh Zare Mehrjardi   +1 more
doaj   +1 more source

Passive forensic based on spatio-temporal localization of video object removal tampering

open access: yesTongxin xuebao, 2020
To address the problem of identification of authenticity and integrity of video content and the location of video tampering area,a deep learning detection algorithm based on video noise flow was proposed.Firstly,based on SRM (spatial rich model) and C3D (3D convolution) neural network,a feature extractor,a frame discriminator and a RPN (region proposal
Linqiang CHEN   +5 more
openaire   +2 more sources

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