Toward a Taxonomy of Malware Behaviors

Grégio, André; Afonso, Vitor Monte; Filho, Dario Simões Fernandes; Geus, Paulo Lício de; Jino, Mário

doi:10.1093/comjnl/bxv047

Cited by 32 publications

(15 citation statements)

References 25 publications

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“…Traditional computing environments are mainly based on X86 architecture, there exists a wide array of studies on malware propagation and analysis in X86 and/or X64 without consideration of device interaction with other architectures hence homogeneity based on specific architecture and operating system. Examples of such studies includes: on malware taxonomies [38,61,62], on malware detection [63][64][65][66][67], malware propagation [68] and malware analysis [69]. Windows variants of operating systems in both X86 and X64 architectures are most vulnerable to malware infections.…”

Section: Platforms and Iot Malwarementioning

confidence: 99%

Internet of Things Malware : A Survey

Karanja¹,

Masupe²,

Jeffrey³

2017

IJCSES

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Section: Platforms and Iot Malwarementioning

confidence: 99%

Internet of Things Malware : A Survey

Karanja¹,

Masupe²,

Jeffrey³

2017

IJCSES

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“…To infect users through app stores, malwares are submitted to them hiding as some legitimate app. In fact, in some cases some popular apps are modified to include malicious actions while keeping the app's main functionalities [17].…”

Section: Malware Definition and Statisticsmentioning

confidence: 99%

Android Application Security Scanning Process

Almomani¹,

Alenezi²

2019

Telecommunication Systems - Principles and Applications of Wireless-Optical Technologies

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This chapter presents the security scanning process for Android applications. The aim is to guide researchers and developers to the core phases/steps required to analyze Android applications, check their trustworthiness, and protect Android users and their devices from being victims to different malware attacks. The scanning process is comprehensive, explaining the main phases and how they are conducted including (a) the download of the apps themselves; (b) Android application package (APK) reverse engineering; (c) app feature extraction, considering both static and dynamic analysis; (d) dataset creation and/or utilization; and (e) data analysis and data mining that result in producing detection systems, classification systems, and ranking systems. Furthermore, this chapter highlights the app features, evaluation metrics, mechanisms and tools, and datasets that are frequently used during the app's security scanning process.

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“…The hackers monitor how far it could spread with the information system of an organization. The malware remains dormant in the systems and its exploits can only be witnessed when a technical flaw in the information system is exposed and allows it to spread further [33][34][35].…”

Section: Goals Of Social Engineering Attacksmentioning

confidence: 99%

“…Furthermore, with the progress of new technology, social engineering attacks also extend to include media of videos. Recent attacks also include the use of botnets, rootkits, and superstitious software to impact the devices of the victims [4,35,40,51].…”

Section: Fig 2: Mechanism Of Social Engineering Attacksmentioning

confidence: 99%

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A Taxonomy for Social Engineering Attacks via Personal Devices

Aldawood¹,

Skinner²

2019

IJCA

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Social engineering attacks are a major threat to organizations and individuals as digitization and connectivity through the internet increase. This study aims to review scholarly research analyzing the topic of social engineering and further chart the evolution of the threat. The review identifies methods of such attacks on various platforms and devices and discusses motivations behind social engineering attacks. Finally, the paper analyzes the nature and impact of social engineering attacks and presents a taxonomy on socially engineered attacks by analyzing their anatomy.

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Toward a Taxonomy of Malware Behaviors

Cited by 32 publications

References 25 publications

Internet of Things Malware : A Survey

Internet of Things Malware : A Survey

Android Application Security Scanning Process

A Taxonomy for Social Engineering Attacks via Personal Devices

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