Results 41 to 50 of about 2,781,085 (213)
BinSlayer: Accurate Comparison of Binary Executables [PDF]
As the volume of malware inexorably rises, comparison of binary code is of increasing importance to security analysts as a method of automatically classifying new malware samples; purportedly new examples of malware are frequently a simple evolution of ...
Martial Bourquin +5 more
core +1 more source
IoT Malware Detection Based on OPCODE Purification
Malware threat for Internet of Things (IoT) devices is increasing day by day. The constrained nature of IoT devices makes it impossible to apply high-resource-demand ing anti-malware tools for these devices.
Kılınç, Hacı Hakan +9 more
core +1 more source
Performance Monitoring Counter Based Intelligent Malware Detection and Design Alternatives
Hardware solutions for malware detection are becoming increasingly important as software-based solutions can be easily compromised by intelligent malware.
Jordan Pattee +2 more
doaj +1 more source
Detecting Environment-Sensitive Malware [PDF]
The execution of malware in an instrumented sandbox is a widespread approach for the analysis of malicious code, largely because it sidesteps the difficulties involved in the static analysis of obfuscated code. As malware analysis sandboxes increase in popularity, they are faced with the problem of malicious code detecting the instrumented environment ...
Lindorfer M. +2 more
openaire +2 more sources
Malware and Malware Detection Techniques: A Survey
Abstract: Malicious software is a kind of software or codes which took some: private data, information from the PC framework, its tasks is to do only malicious objectives to the PC framework, without authorization of the PC clients. The effect of malicious software are worsen to the client.
Sahil Sehrawat, Dr. Dinesh Singh
openaire +1 more source
Android Malware Category and Family Identification Using Parallel Machine Learning [PDF]
Android malware is one of the most dangerous threats on the Internet. It has been on the rise for several years. As a result, it has impacted many applications such as healthcare, banking, transportation, government, e-commerce, etc.
Ahmed Hashem El Fiky +2 more
doaj +1 more source
Learning and classification of malware behavior
S.108-125Malicious software in form of Internet worms, computer viruses, and Trojan horses poses a major threat to the security of networked systems. The diversity and amount of its variants severely undermine the effectiveness of classical signature ...
Düssel, P. +4 more
core +1 more source
Tina-Rezaei/malware-detection: first realease of my paper implementation
This is the first release of "a PE Header-based Method for Malware Detection Using Clustering and Deep Embedding ...
Tina-Rezaei
core +1 more source
Intensive Malware Detection Approach based on Data Mining
Malicious software, sometimes known as malware, is software designed to harm a computer, network, or any of the connected resources. Without the user's knowledge, malware can spread throughout their computer system. Malware is typically disseminated via
Israa Ezzat Salem, Karim Hashim Al-Saedi
doaj +1 more source
On the Effectiveness of Perturbations in Generating Evasive Malware Variants
Malware variants are generated using various evasion techniques to bypass malware detectors, so it is important to understand what properties make them evade malware detection techniques.
Beomjin Jin +3 more
doaj +1 more source

