Results 11 to 20 of about 32,608 (204)

A survey on malware propagation, analysis, and detection [PDF]

open access: yesInternational Journal of Computer Applications, 2013
Lately, a new kind of war takes place between the security community and malicious software developers, the security specialists use all possible techniques, methods and strategies to stop and remove the threats while the malware developers utilize new ...
Mahmod, Ramlan   +2 more
core   +3 more sources

MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware

open access: yes2023 IEEE International Conference on Intelligence and Security Informatics (ISI), 2023
Malware is one of the most dangerous and costly cyber threats to national security and a crucial factor in modern cyber-space. However, the adoption of machine learning (ML) based solutions against malware threats has been relatively slow. Shortcomings in the existing ML approaches are likely contributing to this problem.
Maksim Ekin Eren   +4 more
openaire   +3 more sources

Malware-on-the-Brain: Illuminating Malware Byte Codes With Images for Malware Classification

open access: yesIEEE Transactions on Computers, 2023
Malware is a piece of software that was written with the intent of doing harm to data, devices, or people. Since a number of new malware variants can be generated by reusing codes, malware attacks can be easily launched and thus become common in recent years, incurring huge losses in businesses, governments, financial institutes, health providers, etc.
Fangtian Zhong   +5 more
openaire   +2 more sources

CardiWall: A Trusted Firewall for the Detection of Malicious Clinical Programming of Cardiac Implantable Electronic Devices

open access: yesIEEE 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
doaj   +1 more source

Binary and Multi-Class Malware Threads Classification

open access: yesApplied 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
doaj   +1 more source

Intensive Malware Detection Approach based on Data Mining

open access: yesJournal 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
doaj   +1 more source

Sec-Lib: Protecting Scholarly Digital Libraries From Infected Papers Using Active Machine Learning Framework

open access: yesIEEE 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
doaj   +1 more source

Robust Malware Family Classification Using Effective Features and Classifiers

open access: yesApplied 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
doaj   +1 more source

E liberaci dal malware [PDF]

open access: yes, 2022
PublishedGli strumenti tecnologici sono parte integrante della vita quotidiana e proprio per tale ragione è bene che vengano utilizzati in modo sicuro e consapevole. Lo scopo di questa introduzione all’educazione civica digitale è rendere consapevoli gli
RedOpen Factory
core   +1 more source

Multiprocess malware

open access: yes2011 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
openaire   +3 more sources

Home - About - Disclaimer - Privacy