Malware: From Modelling to Practical Detection

Shyamasundar, R. K.; Shah, Harshit; Kumar, Naresh

doi:10.1007/978-3-642-11659-9_3

Cited by 4 publications

References 17 publications

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“…Founded on formalisms, Christodorescu and Jha [17] developed a prototype called SAF E (Static Analyzer for Executables) designed to detect malicious patterns in executables that are usually resistant to normal obfuscation transformation. Shyamasundar [18] acknowledged that their work yielded interesting approaches to detecting variations of a known virus by carrying out static analysis on its code and deriving an abstraction of its behaviour.…”

Section: I Detection Approachesmentioning

confidence: 99%

Computer Worms Based on Monitoring Replication and Damage: Experiment and Evaluation

Al-Saawy¹,

Amro²

2017

IOSR JCE

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Section: I Detection Approachesmentioning

confidence: 99%

Computer Worms Based on Monitoring Replication and Damage: Experiment and Evaluation

Al-Saawy¹,

Amro²

2017

IOSR JCE

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“…By analogy to the field of health, the concepts that underlie this approach are: infection, detection, disinfection, quarantine, epidemics, environment control, etc. [22]. Its methods are borrowed from the biological sciences in order to determine the likely causes and risk factors for infection, understanding the spread of malware and, where appropriate, the methods to remedy it.…”

Section: Related Workmentioning

confidence: 99%

A clinical study of risk factors related to malware infections

Lévesque

Nsiempba

Fernandez

et al. 2013

Proceedings of the 2013 ACM SIGSAC Conference on Computer &Amp; Communications Security - CCS '13

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The success of malicious software (malware) depends upon both technical and human factors. The most security conscious users are vulnerable to zero-day exploits; the best security mechanisms can be circumvented by poor user choices. While there has been significant research addressing the technical aspects of malware attack and defense, there has been much less research reporting on how human behavior interacts with both malware and current malware defenses.In this paper we describe a proof-of-concept field study designed to examine the interactions between users, antivirus (anti-malware) software, and malware as they occur on deployed systems. The 4-month study, conducted in a fashion similar to the clinical trials used to evaluate medical interventions, involved 50 subjects whose laptops were instrumented to monitor possible infections and gather data on user behavior. Although the population size was limited, this initial study produced some intriguing, non-intuitive insights into the efficacy of current defenses, particularly with regards to the technical sophistication of end users. We assert that this work shows the feasibility and utility of testing security software through long-term field studies with greater ecological validity than can be achieved through other means.

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Malware: From Modelling to Practical Detection

Cited by 4 publications

References 17 publications

Computer Worms Based on Monitoring Replication and Damage: Experiment and Evaluation

Computer Worms Based on Monitoring Replication and Damage: Experiment and Evaluation

A clinical study of risk factors related to malware infections

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