Recently, there has been a huge rise in malware growth, which creates a significant security
threat to organizations and individuals. Despite the incessant efforts of cybersecurity …

Due to the rapid rise of automated tools, the number of malware variants has increased
dramatically, which poses a tremendous threat to the security of the Internet. Recently, some …

Abstract Hidden Markov Models have been extensively used for determining computer
systems under a Multi-Stage Network Attack (MSA), however, acquisition of optimal model …

The manifold growth of malware in recent years has resulted in extensive research being
conducted in the domain of malware analysis and detection, and theories from a wide …

The quantity, complexity, and variety of malware are all increasing at an alarming rate.
Attackers and hackers frequently create systems that can automatically reorder and encrypt …

In recent years the number of new malware threats has increased significantly, causing a
damage of billions of dollars globally. To counter this aggressive malware attack, the anti …

It is critical to detect malicious code for the security of the Internet of Things (IoT). Therefore,
this work proposes a malicious code detection algorithm based on the novel feature fusion …

It is often claimed that the primary advantage of deep learning is that such models can
continue to learn as more data is available, provided that sufficient computing power is …

随着恶意代码规模和种类的不断增加, 传统恶意代码分析方法由于依赖于人工提取特征,
变得耗时且易出错, 因此不再适用. 为了提高检测效率和准确性, 提出了一种基于Ngram-TFIDF …

The escalating frequency and scale of recent malware attacks underscore the urgent need
for swift and precise malware classification in the ever-evolving cybersecurity landscape …