A Cost-Driven Method for Deep-Learning-Based Hardware Trojan Detection by Chen Dong, Yinan Yao, Yi Xu, Ximeng Liu, Yan Wang, Hao Zhang, Li Xu

“…There has been a lot of research on managing malware, and there are many mature commercial products, such as antivirus software, firewalls, etc. In stark contrast, the research community on governing malicious hardware is still in its infancy. …”
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MRm-DLDet: a memory-resident malware detection framework based on memory forensics and deep neural network by Jiaxi Liu, Yun Feng, Xinyu Liu, Jianjun Zhao, Qixu Liu

“…Abstract Cyber attackers have constantly updated their attack techniques to evade antivirus software detection in recent years. One popular evasion method is to execute malicious code and perform malicious actions only in memory. …”
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Gauss-Mapping Black Widow Optimization With Deep Extreme Learning Machine for Android Malware Classification Model by Ghadah Aldehim, Munya A. Arasi, Majdi Khalid, Sumayh S. Aljameel, Radwa Marzouk, Heba Mohsen, Ishfaq Yaseen, Sara Saadeldeen Ibrahim

“…With the prevalent use of code obfuscation technology, the precision of antivirus software and classical detection techniques is low. …”
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Technique for IoT malware detection based on control flow graph analysis by Kira Bobrovnikova, Sergii Lysenko, Bohdan Savenko, Piotr Gaj, Oleg Savenko

“…Annual reports from IoT infrastructure cybersecurity companies and antivirus software vendors show an increase in malware attacks targeting IoT infrastructure. …”
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Enhancing Insider Threat Detection in Imbalanced Cybersecurity Settings Using the Density-Based Local Outlier Factor Algorithm by Taher Ali Al-Shehari, Domenico Rosaci, Muna Al-Razgan, Taha Alfakih, Mohammed Kadrie, Hammad Afzal, Raheel Nawaz

“…Traditional security measures like firewalls, intrusion detection systems, and antivirus software are often inadequate for tackling insider threats effectively, owing to their focus on external threats. …”
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