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Wijayasekara, Sanika K.. Empowering cybersecurity : unveiling the art of identifying and thwarting malicious tactics within the sandbox environment. (). King Mongkut's University of Technology North Bangkok. Central Library. : , 2024.
Empowering cybersecurity : unveiling the art of identifying and thwarting malicious tactics within the sandbox environment
Organization :
Sri Lanka Institute of Information Technology. Faculty of Computing. Department of Computer Systems Engineering
Email :
warma.kumar2011@gmail.com
Name: Wijayasekara, Sanika K.
Organization :
Sri Lanka Institute of Information Technology. Faculty of Computing. CIET-SLIIT Discovery Lab
Email :
sanika.w@sliit.lk
keyword:
Threat detection
LCSH:
Malware (Computer software)
-- Tracking
LCSH:
Computer networks
-- Security measures
LCSH:
Computer security
LCSH:
Virtual computer systems
Abstract:
Malware analysis is essential for combating common cybersecurity concerns. As highly sophisticated malware develops, techniques are required to install and study behavioral software properties. To lessen the impact on current infrastructure, environments isolated from production systems have historically been created using virtual machines.
Malware developers usually create evasion tactics to avoid detection in sandbox environments. This research examines anti-evasion mechanisms to assess their effectiveness in detecting malware attempting to hide within a conventional sandbox setting. Similar to ticking time bombs that count down the seconds until they delete data or receive new commands from the Internet, worms, viruses, and other malware may behave in the same way.
This paper describes a novel virtual-machine-based analytic technique for automatically establishing a malware timeline or identifying when events take place so that the rest of the analysis can identify event risks. When responding to rapidly spreading malware, this information may be very helpful, and self-driven identification can provide more accurate data with shorter waiting time compared with painstaking manual investigation.
Developing an automated system that constructs a malware chronology is a challenging research issue. This study provides an implementation for detecting timers without assuming the integrity of the kernel of the compromised system, which is a crucial part of such a system.
King Mongkut's University of Technology North Bangkok. Central Library
Address:
BANGKOK
Email:
library@kmutnb.ac.th
Created:
2024
Modified:
2026-06-02
Issued:
2026-06-02
บทความ/Article
application/pdf
BibliograpyCitation :
In Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI) Association, Thailand. 2024 21th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON 2024) (pp.237-241). Piscataway, NJ : IEEE
eng
©copyrights King Mongkut's University of Technology North Bangkok
RightsAccess:
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0.024746 วินาที
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|---|---|---|
| Empowering cybersecurity : unveiling the art of identifying and thwarting malicious tactics within the sandbox environment
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