Heterogeneous Multi-sensor Information Fusion Model for Botnet Detection

Wang, Hailong; Zhang, Gong

doi:10.1109/icicta.2010.575

Cited by 5 publications

(2 citation statements)

References 13 publications

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“…Zeidanloo et al [43] proposed and develop detection framework which is based on common pattern and its characteristics of malicious hosts. Wang et al [44] worked on various existing botnet detection technique in which he analyzed multi sensor information and proposed novel information on fusion model. This model effectively discards the irrelevant information from sensors so that it improved the detection accuracy.…”

Section: Botnet Forensic Frameworkmentioning

confidence: 99%

Botnet Forensic: Issues, Challenges and Good Practices

Bijalwan

Solanki

Pilli

2018

NPA

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Unethical hacking of sites, probing, click frauds, phishing, denial of services attack and many such malicious practices affects the organizational integrity and sovereignty. Such activities are direct attacks on the safety, security and confidentiality of the organization. These activities put organizational privacy at stake. Botnet forensic is utilized to strengthen the security issues by understanding the modus operandi of the attacks. The available observations can be utilized in future also to prevent a potential threat to network security. This paper enlightens the novel summary of previous survey including life cycle, classification, framework, detection, analysis and the challenges for botnet forensics.

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Section: Botnet Forensic Frameworkmentioning

confidence: 99%

Botnet Forensic: Issues, Challenges and Good Practices

Bijalwan

Solanki

Pilli

2018

NPA

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“…Hailong et al [8]proposed a hierarchical collaborative model ,which distributes information & cooperates in the three stages of information ,features & decision making. They designed a botnet detection architecture based on collaboration.…”

Section: Background Studiesmentioning

confidence: 99%

Botnet Detection Framework

Sharma¹,

Tiwari²,

Bijalwan³

et al. 2014

IJCA

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Botnet ia a collection on network of bots. i.e the collection of zombie computers which are controlled by a single person or group known as bot master or herder. This paper focuses on botnet detection framework and proposed a generic framework for botnet detection. The proposed framework is based on the approach of passively monitoring network traffic. This paer also show the flow chart of Generic Framework. General TermsBot detection framework, bot analysis.

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