Malware detection issues, challenges, and future directions: A survey

FA Aboaoja, A Zainal, FA Ghaleb, BAS Al-Rimy… - Applied Sciences, 2022 - mdpi.com
The evolution of recent malicious software with the rising use of digital services has
increased the probability of corrupting data, stealing information, or other cybercrimes by …

A survey on machine learning-based malware detection in executable files

J Singh, J Singh - Journal of Systems Architecture, 2021 - Elsevier
In last decade, a proliferation growth in the development of computer malware has been
done. Nowadays, cybercriminals (attacker) use malware as a weapon to carry out the …

Security operations center: A systematic study and open challenges

M Vielberth, F Böhm, I Fichtinger, G Pernul - Ieee Access, 2020 - ieeexplore.ieee.org
Since the introduction of Security Operations Centers (SOCs) around 15 years ago, their
importance has grown significantly, especially over the last five years. This is mainly due to …

[HTML][HTML] Early-stage malware prediction using recurrent neural networks

M Rhode, P Burnap, K Jones - computers & security, 2018 - Elsevier
Static malware analysis is well-suited to endpoint anti-virus systems as it can be conducted
quickly by examining the features of an executable piece of code and matching it to …

A dynamic Windows malware detection and prediction method based on contextual understanding of API call sequence

E Amer, I Zelinka - Computers & Security, 2020 - Elsevier
Malware API call graph derived from API call sequences is considered as a representative
technique to understand the malware behavioral characteristics. However, it is troublesome …

[PDF][PDF] Ransomware, threat and detection techniques: A review

S Kok, A Abdullah, N Jhanjhi… - Int. J. Comput. Sci. Netw …, 2019 - academia.edu
The popularity of ransomware has created a unique ecosystem of cybercriminals. Therefore,
the objectives of this paper are to provide a thorough understanding of ransomware's threat …

[HTML][HTML] Ransomware detection using random forest technique

BM Khammas - ICT Express, 2020 - Elsevier
Nowadays, the ransomware became a serious threat challenge the computing world that
requires an immediate consideration to avoid financial and moral blackmail. So, there is a …

Artificial intelligence in the cyber domain: Offense and defense

TC Truong, QB Diep, I Zelinka - Symmetry, 2020 - mdpi.com
Artificial intelligence techniques have grown rapidly in recent years, and their applications in
practice can be seen in many fields, ranging from facial recognition to image analysis. In the …

Evaluation metric for crypto-ransomware detection using machine learning

SH Kok, A Azween, NZ Jhanjhi - Journal of Information Security and …, 2020 - Elsevier
Ransomware is a type of malware that blocks access to its victim's resources until a ransom
is paid. Crypto-ransomware is a type of ransomware that blocks access to its victim's files by …

A multi-perspective malware detection approach through behavioral fusion of api call sequence

E Amer, I Zelinka, S El-Sappagh - Computers & Security, 2021 - Elsevier
The widespread development of the malware industry is considered the main threat to our e-
society. Therefore, malware analysis should also be enriched with smart heuristic tools that …