malicious activities
Using Complex Networks for Mining Malicious Activities in a Collaborative Map
... A malicious activity that is difficult to detect in this interactive context is the generation of a false trend on the map as the result of a plot in which several false reports by more than one person are ...of ...
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User Behavior to Identify Malicious Activities in Large Scale Social Networks
... Prevention mechanisms place the core weight on protecting the user profiles in a social network.The strategy here is to make the creation of user profiles on social networks a difficult work, rather than trying to find ...
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Re-encryption Verifiability: How to Detect Malicious Activities of a Proxy in Proxy Re-encryption
... In this paper, we introduce a new functionality for PRE that we call re-encryption verifiability. In a PRE scheme with re-encryption verifiability (which we simply call verifiable PRE, or VPRE), a receiver of a ...
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Toward Detecting Malicious Activities in Online Social Network through User Behavior
... A. A complete entity-awareness user behavior analysis model is proposed herein that upholds the widespread cognizance of entities represented by users to achieve accuracy in the judgment process of malicious ...
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Malicious activities at defense and attack stage Malware’s
... Malware are malicious software, capable of replicating themselves in network. They are designed to disrespect user choice of computing in network system. This paper presents current state of art of aracteristics ...
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SECURE BASED ROUTING PROTOCOL TO PREVENT MALICIOUS ACTIVITIES IN WIRELESS SENSOR NETWORKS
... The malicious node can also classify the importance of different packets and discard the maximum importance packet which leads to degradance of the community overall performance the authors in Identifying the vast ...
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Detecting HTTP Botnet using Artificial Immune System (AIS)
... for malicious activity detection in HTTP Bot infected ...performing malicious activities in another step and try to find common hosts in ...Botnet activities successfully with high efficiency ...
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Security Issues in Cloud Computing –a New Approach
... The malicious activities of an insider cloud potentially have an impact on: the confidentiality, integrity and availability of all kind of data and services with impact on the internal [r] ...
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A NEW SOFT SET BASED PRUNING ALGORITHM FOR ENSEMBLE METHOD
... detect malicious activities where this method mostly based on features of lexical, host information, and other complex method which requires a long processing ...
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Network Level Anomaly Detection System with Principal Component Analysis
... the malicious behavior and identify them based on the network traffic ...of malicious activities. The localization of identified malicious activity is important to take the control ...of ...
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PRIORITIZATION OF CENTRALITY MEASURES IN PROTEIN PROTEIN INTERACTON NETWORK FOR DISEASE GENE IDENTIFICATION
... A Leader Based Intrusion Detection System [20] was proposed to detect and prevent malicious activities in WSN. A Leader was elected statically in the network for a group of nodes and it monitors those nodes ...
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Leader Election Based Malicious Detection And Response System In Manet Using Mechanism Design Approach G.Michael, Dr.A.Chandrasekar Abstract PDF IJIRMET1602040022
... controlling malicious activity in the mobile ad-hoc ...the malicious activities of mobile nodes and this system also leads a solution for reputation based secured communication in trusted mobile ...
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Vulnerabilities of Smartphones
... Selected permission to android application: By providing user to give certain permissions or to choose such permission by which application can’t perform malicious activities. Current scenario is that ...
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MONITORING AND IDENTIFICATION OF DYNAMIC IN TRAFFIC FLOWS ANONYMOUS DETECTION VIA BOTNET
... This paper gives a review of all methodologies being used in botnet detection system is presented that is able to identify stealthy P2P botnets, whose malicious activities may not be observable. To ...
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Classification of Malicious Distributed SELinux Activities
... When considering the detection of malicious activities in High Performance Computing (HPC) environments like computing clusters or grid architectures, one faces various challenges. First, they usually rely ...
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Network Intrusion Detection System (NIDS) using Machine Learning Perspective
... time malicious activities, anomaly detection or vulnerabilities using the machine learning techniques, along with the machine learning technique the novel framework is also used big data frameworks namely ...
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MOBILE SINK BASED RELIABLE AND ENERGY EFFICIENT DATA GATHERING TECHNIQUE FOR WSN
... In recent times due to the development of the wireless technologies usage of the wireless sensor technologies also increased from academic to military. These development leads to the malicious activities ...
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Host based Intrusion Detection and Prevention System (HIDPS)
... and malicious activities in real time, creating no false alarms and without any human ...Any malicious activities and abnormal Behaviours of internal or external intrusions and attacks can be ...
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Classifier System in Cloud Environment to Detect Denial of Service Attack
... or malicious actions to perform destruction actions becomes profitable and ...these malicious activities especially Denial of Service (DoS) attack, this paper will propose Learning Classifier System ...
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Malicious Keccak
... For the malicious Keccak the forgery attack is possible when a key belongs to the weak keys class. The class consists of symmetric keys, that is the first part of a lane is the same as the second one. To attack ...
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