A framework for financial botnet analysis

Riccardi, Marco; Oro, David; Luna, Jesús; Cremonini, Marco; Vilanova, Marc

doi:10.1109/ecrime.2010.5706697

Cited by 19 publications

(12 citation statements)

References 11 publications

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“…Riccardi et al [42] proposed financial botnet framework based on Dorothy framework and blacklist based IP reputation system. This architecture promote and increased the involvement of low enforcement authorities, financial institution after sharing intelligence information.…”

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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“…Apart from that, there exists only a few studies on financial malware, which are related to our work. In 2010, Riccardi et al [47] presented work-in-progress research aimed at creating a system for mitigating financial botnets. The architecture promoted information sharing among law enforcement authorities, ISPs and financial institutions.…”

Section: Related Workmentioning

confidence: 99%

Understanding Android Financial MalwareAttacks:Taxonomy, Characterization,and Challenges

Kadir¹,

Stakhanova²,

Ghorbani³

2018

JCSM

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With the increased number of financial-related malware, the security community today has turned their attention to the Android financial malware. However, what constitutes Android financial malware is still ambiguous. A comprehensive understanding of the existing Android financial malware attacks supported by a unified terminology is necessarily required for the deployment of reliable defence mechanisms against these attacks. Thus, in this paper, we address this issue and devise a taxonomy of Android financial malware attacks. By devising the proposed taxonomy, we intend to: give researchers a better understanding of these attacks; explore the Android financial malware characteristics; and provide a foundation for organizing research efforts within this specific field. In order to evaluate the proposed taxonomy, we gathered a large collection of Android financial malware samples representing 32 families, which are selected based on the main characteristics defined in the taxonomy. We discuss the characterization of these families in terms of malware installation, activation and attacks, and derive a set of research question: how does the malware spread to the Android users?,

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“…Riccardi et al [19] proposed the framework aimed to manage the whole workflow of identifying, analyzing, and mitigating a financial botnet, ranging from an initial malware analysis to the creation of specific feedback and knowledge shared with interested parties cooperating to fight cybercrime. This paper presents a work-inprogress research aimed at creating a system able to mitigate the financial botnet problem.…”

Section: State -Of -Artmentioning

confidence: 99%

Survey and Research Challenges of Botnet Forensics

Bijalwan¹,

Thapaliyal²,

Piili³

et al. 2013

IJCA

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Botnet has recently been recognized as one of the most significant security threats/worms of the Internet. Latest attacks are increasingly complex, and utilize many strategies in order to perform their intended malicious/hazardous task. Attackers have developed the ability of controlling vast area of infected hosts, characterized by complex executable command set, each involved part in cooperative and coordinated attacks. These papers propose the advanced approach related botnet detection and analysis in the near future. It demonstrates a novel approach of botnet investigations and defense mechanisms.

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A framework for financial botnet analysis

Cited by 19 publications

References 11 publications

Botnet Forensic: Issues, Challenges and Good Practices

Botnet Forensic: Issues, Challenges and Good Practices

Understanding Android Financial MalwareAttacks:Taxonomy, Characterization,and Challenges

Survey and Research Challenges of Botnet Forensics

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