Evolution and Detection of Polymorphic and Metamorphic Malwares: A Survey
Not on the map. Why?
Abstract (arXiv)
Malwares are big threat to digital world and evolving with high complexity. It can penetrate networks, steal confidential information from computers, bring down servers and can cripple infrastructures etc. To combat the threat/attacks from the malwares, anti- malwares have been developed. The existing anti-malwares are mostly based on the assumption that the malware structure does not changes appreciably. But the recent advancement in second generation malwares can create variants and hence posed a challenge to anti-malwares developers. To combat the threat/attacks from the second generation malwares with low false alarm we present our survey on malwares and its detection techniques.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 27 Jun 2014.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 0; 2025: 1; 2026: 1.
7 papers.
- 2022Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunitiescited by 25
- 2021Robust Android Malware Detection System against Adversarial Attacks using Q-Learningcited by 12
- 2021Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretabilitycited by 9
- 2022Creating an Explainable Intrusion Detection System Using Self Organizing Mapscited by 6
- 2023Explainable Intrusion Detection Systems Using Competitive Learning Techniquescited by 2
- 2025Cluster Analysis and Concept Drift Detection in Malwarecited by 2
- 2026MalTree: Tracing Malware Evolution from Embeddings at Scalecited by 0
- 2026MalTree: Tracing Malware Evolution from Embeddings at Scale4 Jun 2026
- 2025Cluster Analysis and Concept Drift Detection in Malware19 Feb 2025
- 2023Explainable Intrusion Detection Systems Using Competitive Learning Techniques30 Mar 2023
- 2022Creating an Explainable Intrusion Detection System Using Self Organizing Maps15 Jul 2022
- 2022Explainable Intrusion Detection Systems (X-IDS): A Survey of Current Methods, Challenges, and Opportunities13 Jul 2022
- 2021Malware Analysis with Artificial Intelligence and a Particular Attention on Results Interpretability23 Jul 2021
- 2021Robust Android Malware Detection System against Adversarial Attacks using Q-Learning27 Jan 2021