Results 21 to 30 of about 1,349 (172)
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan +7 more
wiley +1 more source
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
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
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
Detection of Ransomware Attacks Using Processor and Disk Usage Data
IEEE Access, 2023 Ransomware often evades antivirus tools, encrypts files, and renders the target computer and its data unusable. The current approaches to detect such ransomware include monitoring processes, system calls, and file activities on the target system and ...
Kumar Thummapudi +2 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
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
Detecting Android Locker-Ransomware on Chinese Social Networks
IEEE Access, 2019 In recent years, an increasing amount of locker-ransomware has been posing a great threat to the Android platform as well as users' properties. Locker-ransomware blackmails victims for ransom by compulsorily locking the devices.
Dan Su +3 more
doaj +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