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Review of android malware detection based on deep learning
Z Wang, Q Liu, Y Chi - IEEE Access, 2020 - ieeexplore.ieee.org
At present, smartphones running the Android operating system have occupied the leading
market share. However, due to the Android operating system's open-source nature, Android …
market share. However, due to the Android operating system's open-source nature, Android …
Behavioral-based classification and identification of ransomware variants using machine learning
Due to the changing behavior of ransomware, traditional classification and detection
techniques do not accurately detect new variants of ransomware. Attackers use polymorphic …
techniques do not accurately detect new variants of ransomware. Attackers use polymorphic …
Revisiting the detection of lateral movement through Sysmon
This work attempts to answer in a clear way the following key questions regarding the
optimal initialization of the Sysmon tool for the identification of Lateral Movement in the MS …
optimal initialization of the Sysmon tool for the identification of Lateral Movement in the MS …
Detecting lateral movement: A systematic survey
Within both the cyber kill chain and MITRE ATT&CK frameworks, Lateral Movement (LM) is
defined as any activity that allows adversaries to progressively move deeper into a system in …
defined as any activity that allows adversaries to progressively move deeper into a system in …
Real-time detection system against malicious tools by monitoring dll on client computers
W Matsuda, M Fujimoto… - 2019 IEEE Conference on …, 2019 - ieeexplore.ieee.org
The targeted attacks cause severe damage worldwide. Detecting targeted attacks are
challenging because the attack methods are very sophisticated. Network-based solutions …
challenging because the attack methods are very sophisticated. Network-based solutions …
Improvising the Malware Detection Accuracy in Portable Document Format (PDFs) through Machine Learning Classifiers
MA Shahid, M Safyan, Z Pervez - Review of Applied Management …, 2024 - ramss.spcrd.org
Every time a spike is observed in cyber-attacks, a huge financial loss is incurred that has
surpassed $2 trillion according to some estimates. Apart from monetary setbacks, the …
surpassed $2 trillion according to some estimates. Apart from monetary setbacks, the …
Feature based comparative analysis of online malware scanners (OMS)
Threat Intelligence is evidence-based knowledge that helps to understand, predict and
adapt the behavior of an existing or emerging threats. Threat Intelligence can be used to …
adapt the behavior of an existing or emerging threats. Threat Intelligence can be used to …
Threats Detection and Analysis Based on SYSMON Tool
N Bahniuk, L Oleksandr, B Kateryna… - 2023 13th …, 2023 - ieeexplore.ieee.org
In this work, an nalysis for the study of threats in a real environment with the possibility of
conducting a full-fledged analysis of threats, as well as their simulationhas been developed …
conducting a full-fledged analysis of threats, as well as their simulationhas been developed …
The testbed for definition of the exploit's execution features to detect and score cyber attacks
S Verevkin, E Fedorchenko - E3S Web of Conferences, 2024 - e3s-conferences.org
The paper considers the deployment of the testbed for definition of the exploit's execution
features to detect and score cyber-attacks. The paper describes the place of the proposed …
features to detect and score cyber-attacks. The paper describes the place of the proposed …
Leveraging Interpretable Machine Learning Approaches to Detect Anomaly Within UK Cloud Service Sector
CK Tong - 2024 - search.proquest.com
The increasing reliance on cloud-based platforms has saved time, money, and resources
but also has lured criminals in cyber-attacks. With financial losses averaging£ 3.4 million per …
but also has lured criminals in cyber-attacks. With financial losses averaging£ 3.4 million per …