Results 11 to 20 of about 6,055 (181)

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

2023 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, Manish Bhattarai, Kim Ø. Rasmussen, Boian S. Alexandrov, Charles Nicholas   +4 more
openaire   +2 more sources

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

IEEE 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, Zekai Chen, Minghui Xu 0001, Guoming Zhang, Dongxiao Yu, Xiuzhen Cheng   +5 more
openaire   +2 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, Abdullah Lakhan, Dilovan Asaad Zebari, Karrar Hameed Abdulkareem, Jan Nedoma, Radek Martinek, Usman Tariq, Majed Alhaisoni, Prayag Tiwari   +8 more
wiley   +1 more source

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

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, Aviad Cohen, Nir Nissim, Moshe Rav-Acha, Vladimir Khalameizer, Yuval Elovici, Yuval Shahar, Amos Katz   +7 more
doaj   +1 more source

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, Norziana Jamil, Marina Md. Din, Baraa Tareq Hammad   +3 more
doaj   +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
doaj   +1 more source

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, Norziana Jamil, Ismail Taha Ahmed, Zuhaira Muhammad Zain, Shakila Basheer   +4 more
doaj   +1 more source

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

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, Aviad Cohen, Jian Wu, Andrea Lanzi, Lior Rokach, Yuval Elovici, Lee Giles   +6 more
doaj   +1 more source

Multiprocess malware

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
openaire   +2 more sources

Coevolution of Mobile Malware and Anti-Malware

IEEE Transactions on Information Forensics and Security, 2018
Mobile malware is one of today's greatest threats in computer security. Furthermore, new mobile malware is emerging daily that introduces new security risks. However, while existing security solutions generally protect mobile devices against known risks, they are vulnerable to as yet unknown risks.
Sevil Sen, Emre Aydogan, Ahmet Ilhan Aysan   +2 more
openaire   +2 more sources