Results 11 to 20 of about 97,198 (223)

Effective and Reliable Malware Group Classification for a Massive Malware Environment [PDF]

International Journal of Distributed Sensor Networks, 2016
Most of the cyber-attacks are caused by malware, and damage from them has escalated from cyber space to home appliances and infrastructure, thus affecting the daily living of the people. As such, anticipative analysis and countermeasures for malware have
Taejin Lee, Jin Kwak
doaj   +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

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

Study on Malware Classification Based on N-Gram Static Analysis Technology [PDF]

Jisuanji kexue, 2022
In order to solve the problem of low accuracy of malware classification,this paper proposes a research on malware classification based on N-Gram static analysis technology.Firstly,the N-Gram method is used to extract the byte sequence of length 2 from ...
ZHANG Guang-hua, GAO Tian-jiao, CHEN Zhen-guo, YU Nai-wen
doaj   +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

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, Jusop Choi, Jin B. Hong, Hyoungshick Kim   +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

A multilabel fuzzy relevance clustering system for malware attack attribution in the edge layer of cyber-physical networks [PDF]

, 2020
The rapid increase in the number of malicious programs has made malware forensics a daunting task and caused users’ systems to become in danger. Timely identification of malware characteristics including its origin and the malware sample family would ...
Alaeiyan, M, Conti, M, Dargahi, T, Dehghantanha, A, Parsa, S   +4 more
core   +2 more sources

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, Acar, Aktan, Uluagac, A. Selçuk, Kırda, E., Selçuk, Ali Aydın   +4 more
openaire   +3 more sources