Results 21 to 30 of about 2,945,918 (205)
Ransomware Detection and Classification Strategies
2022 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), 2022 9 pages, 2 ...
Aldin Vehabovic +4 more
openaire +3 more sources
Personal HealthCare of Things: A novel paradigm and futuristic approach
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract This study provides an investigative approach and offers a complete review of research on Internet of Medical Things (IoMT), describing the progress in general and highlighting the research issues, trends, and future aspects of IoMT. Exploring a research strategy for IoMT systems is vital as the need for IoT in healthcare grows. By aggregating
Surbhi Gupta +5 more
wiley +1 more source
A Survey of Crypto Ransomware Attack Detection Methodologies: An Evolving Outlook
Sensors, 2022 Recently, ransomware attacks have been among the major threats that target a wide range of Internet and mobile users throughout the world, especially critical cyber physical systems.
Abdullah Alqahtani, Frederick T. Sheldon
doaj +1 more source
IEEE Access, 2022 Ransomware is one of the most harmful types of cyber attacks that cause major concerns on a global scale. It makes the victims’ resources unusable by encrypting data or locking systems to extort ransom payments.
Fatimah Aldauiji +2 more
doaj +1 more source
IEEE Access, 2020 In recent times, ransomware has become the most significant cyber-attack targeting individuals, enterprises, healthcare industries, and the Internet of Things (IoT). Existing security systems like Intrusion Detection and Prevention System (IDPS) and Anti-
S. Sibi Chakkaravarthy +4 more
doaj +1 more source
Improving Antivirus Signature For Detection Ransomware Attacks With Machine Learning
, 2021 Cybercrime activities are difficult separate from the development of malware. In Internet Security Threat Report, crime by exploiting malware becomes the ultimate crime. One of the highest spreading malwares is ransomware.
Bastian, Alvian, Alvian Bastian
core +1 more source
A fine-tuning of decision tree classifier for ransomware detection based on memory data [PDF]
International Journal of Data and Network ScienceRansomware has evolved into a pervasive and extremely disruptive cybersecurity threat, causing substantial operational and financial damage to individuals and businesses.
Mosleh M. Abualhaj +6 more
doaj +1 more source
Enhancing File Entropy Analysis to Improve Machine Learning Detection Rate of Ransomware
IEEE Access, 2021 Cybersecurity is the biggest threat in the world. More and more people are used to storing personal data on a computer and transmitting it through the Internet. Cybersecurity will be an important issue that everyone continues to pay attention to.
Chia-Ming Hsu +4 more
doaj +1 more source
A Survey on Ransomware Malware and Ransomware Detection Techniques
International Journal for Research in Applied Science and Engineering Technology, 2022 Abstract: is a kind of malignant programming (malware) that takes steps to distribute or hinders admittance to information or a PC framework, for the most part by scrambling it, until the casualty pays a payoff expense to the assailant. As a rule, the payoff request accompanies a cutoff time.
openaire +1 more source
Android Ransomware Detection From Traffic Analysis Using Metaheuristic Feature Selection
IEEE Access, 2022 Among the prevalent cyberattacks on Android devices, a ransomware attack is the most common and damaging. Although there are many solutions for detecting Android ransomware attacks, existing solutions have limited detection accuracy and high ...
Md. Sakir Hossain +7 more
doaj +1 more source