Results 21 to 30 of about 2,768,658 (208)

On the classification of Microsoft-Windows ransomware using hardware profile [PDF]

PeerJ Computer Science, 2021
Due to the expeditious inclination of online services usage, the incidents of ransomware proliferation being reported are on the rise. Ransomware is a more hazardous threat than other malware as the victim of ransomware cannot regain access to the ...
Sana Aurangzeb, Rao Naveed Bin Rais, Muhammad Aleem, Muhammad Arshad Islam, Muhammad Azhar Iqbal   +4 more
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

User privacy prevention model using supervised federated learning‐based block chain approach for internet of Medical Things

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, Mohammad Kamrul Hasan, Shayla Islam, Salwani Abdullah, Shailesh Khapre, Dalbir Singh, Abdulaziz A. Alsulami, Ali Alqahtani   +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, Mohammad Shabaz, Ankur Gupta, Abdullah Alqahtani, Shtwai Alsubai, Isaac Ofori   +5 more
wiley   +1 more source

Ransomware: stages, detection and evasion [PDF]

, 2021
Ransomware attacks has been increasing lately with companies suffer monetarily, wasted business opportunity and wasted time. Big companies are now targeted as they are more profitable for ransomware threat actor.
Yus Kamalrul, Mohamed Yunus, Syahrulanuar, Ngah   +1 more
core   +1 more source

Utilizing Cyber Threat Hunting Techniques to Find Ransomware Attacks: A Survey of the State of the Art

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, Omar Batarfi, Manal Bayousef   +2 more
doaj   +1 more source

Design of Intrusion Detection Honeypot Using Social Leopard Algorithm to Detect IoT Ransomware Attacks

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, D. Sangeetha, Meenalosini Vimal Cruz, V. Vaidehi, Balasubramanian Raman   +4 more
doaj   +1 more source

Ransomware detection

, 2021
Ransomware is classified as a category of malicious software (often reffered to as malware), which is designed to perform changes on the targeted sytem (e.g. encrypt certain files), and subsequently demand a payment of ransom, which is promised to result
Chadima, Vojtěch
core   +2 more sources

Analysis, Detection, and Prevention of Cryptographic Ransomware [PDF]

, 2020
Cryptographic ransomware encrypts files on a computer system, thereby blocks access to victim’s data, until a ransom is paid. The quick return in revenue together with the practical difficulties in accurately tracking cryptocurrencies used by victims to ...
GENÇ, Ziya Alper
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 Science
Ransomware has evolved into a pervasive and extremely disruptive cybersecurity threat, causing substantial operational and financial damage to individuals and businesses.
Mosleh M. Abualhaj, Mahran Al-Zyoud, Mohammad O. Hiari, Yousef Alrabanah, Mohammed Anbar, Amal Amer, Ali Al-Allawee   +6 more
doaj   +1 more source