Search Results - (( copy detection ((a algorithm) OR (_ algorithm)) ) OR ( botnet detection system algorithm ))

A new mobile botnet classification based on permission and API calls by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

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Systematic analysis on mobile botnet detection techniques using genetic algorithm by Rahman M.Z.A., Madihah Mohd Saudi

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Botnet Detection Using a Feed-Forward Backpropagation Artificial Neural Network by Ahmed, Abdulghani Ali

“…The proposed technique aims to detect Botnet zero-day attack in real time. This technique applies a backpropagation algorithm to the CTU-13 dataset to train and evaluate the Botnet detection classifier. …”
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Botnet detection using automated script / Norfathin Rosli by Rosli, Norfathin

“…This paper is about a Botnet Detection using Automated Script, the programming language is and the operating system is Windows 7. …”
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A keypoint based copy-move forgery detection and localization in digital images / Somayeh Sadeghi by Somayeh, Sadeghi

“…A copy-move forgery detector should be able to detect forgery in a reasonable amount of time. …”
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A smart framework for mobile botnet detection using static analysis by Anwar, Shahid, Mohamad Fadli, Zolkipli, Mezhuyev, Vitaliy, Inayat, Zakira

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A behavior based algorithm to detect spam bots by Zamil, Mohammed Fadhil

“…Spamming causes illegal consuming of network resources in general and mail system in particular. The objective of this research is to detect the source of spam on the network by detecting the abnormal behaviors that reflect spamming activities. …”
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A comparative analysis of image copy-move forgery detection algorithms based on hand and machine-crafted features by Ahmed I.T., Hammad B.T., Jamil N.

“…IC-MFDs based hand-crafted features and IC-MFDs based machine-crafted features. IC-MFD algorithms based hand-crafted features are the algorithms that detect the faked image depending on manual feature extraction while IC-MFD algorithms based machine-crafted features are the algorithms that detect the faked image automatically from image. …”

An enhanced android botnet detection approach using feature refinement by Anwar, Shahid

“…In order to detect botnet attacks which causes immense chaos and problems to smartphones, first the Android botnet need to be analysed. …”
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A Static Approach towards Mobile Botnet Detection by Shahid, Anwar, Jasni, Mohamad Zain, Inayat, Zakira, Ul Haq, Riaz, Ahmad, Karim, Jaber, Aws Naser

“…In this study we propose a static approach towards mobile botnet detection. This technique combines MD5, permissions, broadcast receivers as well as background services and uses machine learning algorithm to detect those applications that have capabilities for mobile botnets. …”
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Mobile botnet classification by using hybrid analysis by Yusof M., Madihah Mohd Saudi, Farida Hazwani Mohd Ridzuan

IoT-based botnet attacks systematic mapping study of literature by Habiba Hamid, Rafidah Md Noor, Syaril Nizam Omar, Ismail Ahmedy, Shaik Shabana Anjum, Syed Adeel Ali Shah, Sheena Kaur, Fazidah Othman, Emran Mohd Tamil

Comparison of edge detection algorithms for texture analysis on copy-move forgery detection images by Idris, Bashir, Abdullah, Lili N., Abdul Halim, Alfian, Abdullah Selimun, Mohd Taufik

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Depth frame loss concealment for wireless transmission utilising motion detection information by Ranjbari, Mohamadreza

“…The methods are able to facilitate a frame copy algorithm and a high correlation of colour and depth frames to conceal depth frame loss. …”
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Image authentication using Scale Invariant Feature Transform (SIFT) / Nurul Anis Suriana Adnan by Adnan, Nurul Anis Suriana

“…The active approaches rely on pre-embedding of watermarking and signature into images while passive approaches determined by the characteristics of the image. This proposes a passive forgery detection to detect the most common type of forgery, which is copy-move attack. …”
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Plagiarism Detection System for Java Programming Assignments by Using Greedy String-Tilling Algorithm by Norulazmi, Kasim

“…The prototype system, known as Java Plagiarism Detection System (JPDS) implements the Greedy-String-Tiling algorithm to detect similarities among tokens in a Java source code files. …”
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Image Copy-Move Forgery Detection Algorithms Based on Spatial Feature Domain by Ahmed I.T., Hammad B.T., Jamil N.

Two-Dimensional Forward-Backward Time-Stepping Approach for Tumor Detection in Dispersive Breast Tissues by Kismet, Hong Ping, Moriyama, Toshifumi, Takenaka, Takashi, Tanaka, Toshiyuki

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Designing a new model for Trojan horse detection using sequential minimal optimization by Madihah Mohd Saudi, Abuzaid A.M., Taib B.M., Abdullah Z.H.

Relevance detection and summarizing strategies identification algorithm using linguistic measures / Seyed Asadollah Abdiesfandani by Seyed Asadollah, Abdiesfandani

“…We then develop a new algorithm to address the summarizing strategies identification problem. …”
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