[PDF] Top 20 A Tool for Classification of Malicious App
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A Tool for Classification of Malicious App
... a malicious Facebook application attracts only a few users in the beginning, it can still spread ...a malicious piece of content on a network without any human ...using malicious apps, clicking ... See full document
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A Comparative Analysis of Classification Algorithms on Weather Dataset Using Data Mining Tool
... This paper intends to study the classifier accuracy of various classification algorithms using WEKA tool on weather dataset.The experimental results of the various classification algorithms is ... See full document
5
Forensic investigation A tool for classification of gender
... gender classification has been ...several classification method on a large face database, it was found that gender classification accuracy was significantly affected by age, with adult faces having ... See full document
6
Classification of Malicious URLS for Web Using Ripper Algorithm
... web malicious URLs are most dangerous process to control. The malicious URL will be the most researched process now a ...WEKA tool to classify the malicious ...as malicious URLs can be ... See full document
5
Data Transfer Protocol for Controlling Malicious Data in OSN
... an app on his Facebook ...the app by Facebook), can we detect if the app is malicious? Currently, there is no commercial service, publicly available information, or research-based tool ... See full document
6
Result On Social Networking Application Evaluator Detecting Malicious Social Networking Applications
... deploying malicious applications. Malicious apps could provide a lucrative business for hackers, given the popularity of OSNs(Online Social Networking’s), with the leading the way with 900M active ...a ... See full document
5
A Survey on Detecting Malicious Facebook Applications using FRAppE
... many malicious Facebook applications ...detecting malicious posts and ...is malicious? Our key contribution is surveying FRAppE—Facebook’s Rigorous Application Evaluator—arguably the primary ... See full document
16
Maldroid: Dynamic Malware Detection using Random Forest Algorithm
... Abstract: Android platform has become one of the most widely used operating system for smart-phones with the number of users increasing day by day. The number of applications made for Android is also rising. ... See full document
5
Reservation – A tool for social justice
... the classification of socially and educationally backward classes ,there is no definition of socially backward classes, It is very difficult to deter mine them ,here president has power to specify these classes on ... See full document
6
Email Phishing: An Enhanced Classification Model to Detect Malicious URLs
... Enhanced Malicious URLs Detection (EMUD) model is proposed to combat against aforesaid ...detect malicious URLs with the EMUD algorithm has been used with EMUD ...detect malicious URLs in Comparation ... See full document
12
Malicious Websites Classification Based On Web Address Features
... of malicious URL’s ...a malicious web site browser may warn for not disclose and compromise their personal ...for malicious URL’s for social media based on user ...possible malicious domains ... See full document
6
Malicious Web Page Detection through Classification Technique: A Survey
... differing depths and aggregating sub-graphs of the link graphs for determine the Spam type of malicious nature of web page. Support vector machine (SVMlight) technique[1] is used in this approach. SVM-light ... See full document
6
Title: STUDY ON PREDICTION OF MALICIOUS PROGRAM USING CLASSIFICATION BASED APPROCHES
... engines. Malicious software is the software which gives partial to full control of your computer to do whatever the malware creator ...based malicious code detectors by using Breadth-First Search approach ... See full document
9
Classification for DGA-Based Malicious Domain Names with Deep Learning Architectures
... detect malicious domains; ii) the performance of these methods are quite poor in terms of false positives and true positives; and iii) it is often unrealistic for many security applications to use contextual ... See full document
5
Comparative and Analysis Study for Malicious Executable by Using Various Classification Algorithms
... the classification model, False Positive Rate (FPR) it is defined as the rate of normal files that are classified in a wrong way, precision is the proportion of predicted positive cases that were correct, Recall ... See full document
9
N-grams Based Supervised Machine Learning Model for Mobile Agent Platform Protection against Unknown Malicious Mobile Agents
... unknown malicious mobile agents before they invade the Mobile Agent Platform has been the subject of much challenging ...of malicious agents calls for techniques for automated malicious agent ... See full document
7
Second Order Online Active Learning based Malicious Web Classification
... 3 Improved Cost Sensitive Second Order Online Active Learning: This module applies Cost Sensitive Second Order On-line Active Learning training calculation for highlight separated URL da[r] ... See full document
5
Classification of Malicious Distributed SELinux Activities
... the classification of mali- cious activities occurring on a network of SELinux ...the classification architecture using comprehensive ...the classification can be done in a linear ... See full document
10
Integrating a New Software Tool Used for Tool Path Generation in the Numerical Simulation of Incremental Forming Processes
... forming tool motions are difficult to be implemented in finite element method (FEM) software systems, and because of the large number of points that describe the tool path, in order to reduce data ... See full document
9
Blog: A Tool For Online Library Services
... right tool for reaching the users? What key messages the library wish to send? What is the purpose of the blog? Also one has to think of the sufficient number of target users to make a blog ... See full document
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