Classification and analysis of malicious code detection techniques based on the APT attack
K Lee, J Lee, K Yim - Applied Sciences, 2023 - mdpi.com
According to the Fire-eye's M-Trends Annual Threat Report 2022, there are many advanced
persistent threat (APT) attacks that are currently in use, and such continuous and specialized …
persistent threat (APT) attacks that are currently in use, and such continuous and specialized …
A survey of malware behavior description and analysis
B Yu, Y Fang, Q Yang, Y Tang, L Liu - Frontiers of Information Technology …, 2018 - Springer
Behavior-based malware analysis is an important technique for automatically analyzing and
detecting malware, and it has received considerable attention from both academic and …
detecting malware, and it has received considerable attention from both academic and …
A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks
Abstract Contemporary Smart Power Systems (SPNs) depend on Cyber-Physical Systems
(CPSs) to connect physical devices and control tools. Developing a robust privacy …
(CPSs) to connect physical devices and control tools. Developing a robust privacy …
A hybrid machine learning approach for malicious behaviour detection and recognition in cloud computing
M Rabbani, YL Wang, R Khoshkangini… - Journal of Network and …, 2020 - Elsevier
The rapid growth of new emerging computing technologies has encouraged many
organizations to outsource their data and computational requirements. Such services are …
organizations to outsource their data and computational requirements. Such services are …
Does every second count? time-based evolution of malware behavior in sandboxes
The amount of time in which a sample is executed is one of the key parameters of a malware
analysis sandbox. Setting the threshold too high hinders the scalability and reduces the …
analysis sandbox. Setting the threshold too high hinders the scalability and reduces the …
A Survey of strategy-driven evasion methods for PE malware: transformation, concealment, and attack
The continuous proliferation of malware poses a formidable threat to the cyberspace
landscape. Researchers have proffered a multitude of sophisticated defense mechanisms …
landscape. Researchers have proffered a multitude of sophisticated defense mechanisms …
Efficient dynamic malware analysis using virtual time control mechanics
CH Lin, HK Pao, JW Liao - Computers & Security, 2018 - Elsevier
Efficient detection of stealthy malware attacks in suspicious files is very challenging as
dynamic malware analysis is time consuming. This paper proposes a virtual time control …
dynamic malware analysis is time consuming. This paper proposes a virtual time control …
Humans vs. machines in malware classification
Humans vs. Machines in Malware Classification Page 1 This paper is included in the
Proceedings of the 32nd USENIX Security Symposium. August 9–11, 2023 • Anaheim, CA, USA …
Proceedings of the 32nd USENIX Security Symposium. August 9–11, 2023 • Anaheim, CA, USA …
[HTML][HTML] Getting to the root of the problem: A detailed comparison of kernel and user level data for dynamic malware analysis
Dynamic malware analysis is fast gaining popularity over static analysis since it is not easily
defeated by evasion tactics such as obfuscation and polymorphism. During dynamic …
defeated by evasion tactics such as obfuscation and polymorphism. During dynamic …
A Consensus Framework for Reliability and Mitigation of Zero‐Day Attacks in IoT
“Internet of Things”(IoT) bridges the communication barrier between the computing entities
by forming a network between them. With a common solution for control and management of …
by forming a network between them. With a common solution for control and management of …