Results 11 to 20 of about 24,379 (232)
On the Effectiveness of Perturbations in Generating Evasive Malware Variants
IEEE Access, 2023 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
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MalJPEG: Machine Learning Based Solution for the Detection of Malicious JPEG Images
IEEE Access, 2020 In recent years, cyber-attacks against individuals, businesses, and organizations have increased. Cyber criminals are always looking for effective vectors to deliver malware to victims in order to launch an attack.
Aviad Cohen, Nir Nissim, Yuval Elovici
doaj +1 more source
IEEE Access, 2020 Today, cardiac implantable electronic devices (CIEDs), such as pacemakers and implantable cardioverter defibrillators (ICDs), play an increasingly important role in healthcare ecosystems as patient life support devices.
Matan Kintzlinger +7 more
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Binary and Multi-Class Malware Threads Classification
Applied Sciences, 2022 The security of a computer system can be harmed by specific applications, such as malware. Malware comprises unwanted, dangerous enemies that aim to compromise the security and generate significant loss.
Ismail Taha Ahmed +3 more
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Robust Malware Family Classification Using Effective Features and Classifiers
Applied Sciences, 2022 Malware development has significantly increased recently, posing a serious security risk to both consumers and businesses. Malware developers continually find new ways to circumvent security research’s ongoing efforts to guard against malware attacks ...
Baraa Tareq Hammad +4 more
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SoK: Cryptojacking Malware [PDF]
2021 IEEE European Symposium on Security and Privacy (EuroS&P), 2021 Emerging blockchain and cryptocurrency-based technologies are redefining the way we conduct business in cyberspace. Today, a myriad of blockchain and cryptocurrency systems, applications, and technologies are widely available to companies, end-users, and even malicious actors who want to exploit the computational resources of regular users through ...
Tekiner, Ege +4 more
openaire +3 more sources
Adaptive secure malware efficient machine learning algorithm for healthcare data
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract Malware software now encrypts the data of Internet of Things (IoT) enabled fog nodes, preventing the victim from accessing it unless they pay a ransom to the attacker. The ransom injunction is constantly accompanied by a deadline. These days, ransomware attacks are too common on IoT healthcare devices.
Mazin Abed Mohammed +8 more
wiley +1 more source
Intensive Malware Detection Approach based on Data Mining
Journal of Applied Engineering and Technological Science, 2023 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
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IEEE Access, 2019 Researchers from academia and the corporate-sector rely on scholarly digital libraries to access articles. Attackers take advantage of innocent users who consider the articles' files safe and thus open PDF-files with little concern.
Nir Nissim +6 more
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2011 6th International Conference on Malicious and Unwanted Software, 2011 Malware behavior detectors observe the behavior of suspected malware by emulating its execution or executing it in a sandbox or other restrictive, instrumented environment. This assumes that the process, or process family, being monitored will exhibit the targeted behavior if it contains malware.
Marco Ramilli, Matt Bishop, Shining Sun
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