Results 71 to 80 of about 4,106 (161)

Malware Analysis Management

, 2018
CERN is constantly being targeted with malware, with email being the primary attack vector. The CERN Computer Security Team in collaboration with the CERN Email Service Managers have deployed many in-depth measures in order to minimize the number of malicious emails reaching the mailboxes of CERN users.
openaire   +1 more source

Performance Analysis of Malware Attack

Journal of Computing Research and Innovation, 2018
People in this new era of modernization nowadays take Internet as one of the vital thing for daily activities. Internet is not only for adults, it is also a needs for people of all ages. However, network vulnerabilities exist in all network that are connec ted to the Internet.
Nur Khairani Kamarudin, Nur Nazifa Md Hasani, Rafiza Ruslan, Rashidah Ramle, Nurul Hidayah Ahmad Zukri, Iman Hazwam Abd Halim   +5 more
openaire   +3 more sources

Enhancing Cyber-Resilience for Small and Medium-Sized Organizations with Prescriptive Malware Analysis, Detection and Response. [PDF]

Sensors (Basel), 2023
Ilca LF, Lucian OP, Balan TC.
europepmc   +1 more source

Zero-Day Malware Detection and Effective Malware Analysis Using Shapley Ensemble Boosting and Bagging Approach. [PDF]

Sensors (Basel), 2022
Kumar R, Subbiah G.
europepmc   +1 more source

Malware Classification Using Probability Scoring and Machine Learning

IEEE Access, 2019
Malware classification plays an important role in tracing the attack sources of computer security. However, existing static analysis methods are fast in classification, but they are inefficient in some malware using packing and obfuscation techniques ...
Di Xue, Jingmei Li, Tu Lv, Weifei Wu, Jiaxiang Wang   +4 more
doaj   +1 more source

Enhancing Malware Analysis Using Data Visualization Through Shared Code and Attribute Analysis

IEEE Access
Malware analysis is a crucial area of cybersecurity, focusing on identifying, categorizing, and studying malicious software to prevent it from posing a threat to computer systems.
Narayandas Sai Ramana Vashista, K. Abhimanyu Kumar Patro   +1 more
doaj   +1 more source

Malware Detection Approach Based on Artifacts in Memory Image and Dynamic Analysis

Applied Sciences, 2019
The need to detect malware before it harms computers, mobile phones and other electronic devices has caught the attention of researchers and the anti-malware industry for many years. To protect users from malware attacks, anti-virus software products are
Rami Sihwail, Khairuddin Omar, Khairul Akram Zainol Ariffin, Sanad Al Afghani   +3 more
doaj   +1 more source

Homology analysis of malware based on ensemble learning and multifeatures.

PLoS ONE, 2019
With the exponential increase in malware, homology analysis has become a hot research topic in the malware detection field. This paper proposes MHAS, a malware homology analysis system based on ensemble learning and multifeatures.
Di Xue, Jingmei Li, Weifei Wu, Qiao Tian, JiaXiang Wang   +4 more
doaj   +1 more source

Incremental clustering method based on Gaussian mixture model to identify malware family

Tongxin xuebao, 2019
Aiming at the logical similarity of the behavioral characteristics of malware belonging to the same family,the characteristics of malware were extracted by tracking the logic rules of API function call from the perspective of behavior detection,and the ...
Jianwei HU, Xin CHE, Man ZHOU, Yanpeng CUI   +3 more
doaj   +2 more sources

Attention-Based Automated Feature Extraction for Malware Analysis. [PDF]

Sensors (Basel), 2020
Choi S, Bae J, Lee C, Kim Y, Kim J.
europepmc   +1 more source