Detection of Anti-forensics and Malware Applications in Volatile Memory Acquisition

Ratcliffe, Chandlor; Bokolo, Biodoumoye George; Oladimeji, Damilola; Zhou, B.

doi:10.1007/978-3-031-08530-7_44

Cited by 3 publications

(4 citation statements)

References 22 publications

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“…1.1.4 Malware Distribution: Some phishing attacks may also involve the distribution of malware. Clicking on a malicious link or downloading an attachment from a phishing email can infect the user's device with malware, which can then steal data or take control of the device [10].…”

Section: Information Collectionmentioning

confidence: 99%

Impact Of Web (URL) Phishing and Its Detection

Oloyede,

Obunadike,

Yufenyuy

et al. 2024

int.jour.sci.res.mana

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Web phishing is a persuasive and evolving cyber threat that poses significant risks to individuals, businesses, and organizations in the modern digital age. This paper aims to provide an overview of web phishing, focusing on its methods, detection techniques, and prevention. Phishing attacks occur when malicious actors use deceptive practices to trick people into divulging sensitive or classified information such as passwords, credit card details, or personal data. These attacks primarily manifest through emails, websites, or social engineering tactics. Phishing emails often impersonate trusted entities and lure recipients into clicking on malicious links or downloading harmful attachments. Web phishing involves using fraudulent websites that mimic legitimate ones to steal user information or deliver malware. Detecting web phishing attacks is an ongoing challenge due to the sophistication of attackers. Several detection techniques have been developed, including heuristic analysis, machine learning algorithms, and real-time URL analysis. These methods analyze various attributes of websites and emails to identify suspicious patterns or behaviors. Detecting web phishing is equally essential. Effective prevention strategies include user education and awareness programs, using two-factor authentication, regular software updates, and deploying advanced email filtering and anti-phishing tools. User training is crucial in helping individuals recognize phishing attempts and avoid falling victim to them.

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Section: Information Collectionmentioning

confidence: 99%

Impact Of Web (URL) Phishing and Its Detection

Oloyede,

Obunadike,

Yufenyuy

et al. 2024

int.jour.sci.res.mana

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“…Anti-forensics and Malware 7 [19,[215][216][217][218][219][220] Authors such us I. You et al [215] discuss the anti-forensic aspect of obfuscation as applied to malware.…”

Section: Anti-forensics and Malware Number Of Studies Referencesmentioning

confidence: 99%

“…Ratcliffe et al [217] bring together anti-forensic techniques and malware on the same level when explaining how to detect malware in RAM.…”

Section: Anti-forensics and Malware Number Of Studies Referencesmentioning

confidence: 99%

“…Among the contributions of these studies are the analysis of anti-forensic techniques directly related to malware [216], the development of process models to handle fileless malware attacks [19], the detection of malware in memory using machine learning [217], the detection of stealthy malware by comparing network sensors [218], and the analysis of malware behavior on Android mobile devices [219].…”

Section: Anti-forensics and Malware Number Of Studies Referencesmentioning

confidence: 99%

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Systematic Review: Anti-Forensic Computer Techniques

González Arias,

Bermejo Higuera,

Rainer Granados

et al. 2024

Applied Sciences

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The main purpose of anti-forensic computer techniques, in the broadest sense, is to hinder the investigation of a computer attack by eliminating traces and preventing the collection of data contained in a computer system. Nowadays, cyber-attacks are becoming more and more frequent and sophisticated, so it is necessary to understand the techniques used by hackers to be able to carry out a correct forensic analysis leading to the identification of the perpetrators. Despite its importance, this is a poorly represented area in the scientific literature. The disparity of the existing works, together with the small number of articles, makes it challenging to find one’s way around the vast world of computer forensics. This article presents a comprehensive review of the existing scientific literature on anti-forensic techniques, mainly DFIR (digital forensics incident response), organizing the studies according to their subject matter and orientation. It also presents key ideas that contribute to the understanding of this field of forensic science and details the shortcomings identified after reviewing the state of the art.

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