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Ransomware Honeypot: Honeypot solution designed to detect a ransomware infection identify the ransomware family

2019 11th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2019
Ransomware poses a major threat to information integrity and availability. This type of malware will encrypt files on infected computers and demand ransom in return to restoring access. These scale to companies and institutions with devastating consequences. The goal of this paper is to propose a solution based on low cost hardware that will serve as a
Cristian Pascariu, Ionut-Daniel Barbu
openaire   +1 more source

Study on Systematic Ransomware Detection Techniques

2022 24th International Conference on Advanced Communication Technology (ICACT), 2021
Cyberattacks have been progressed in the fields of Internet of Things, and artificial intelligence technologies using the advanced persistent threat (APT) method recently. The damage caused by ransomware is rapidly spreading among APT attacks, and the range of the damages of individuals, corporations, public institutions, and even governments are ...
Sun-Jin Lee   +5 more
openaire   +1 more source

Ransomware Detection and Defense

International Journal for Electronic Crime Investigation, 2019
Like other criminals in world, cyber-criminals are using different illegal and unethical ways to gain their mischievous purposes. Malware known as Ransomware is a new threat to world used by cyber hackers to blackmail individuals and organizations and has been identified as a major threat to network and computer security across the world [1 ...
openaire   +1 more source

Automated Detection and Analysis for Android Ransomware

2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems, 2015
Along with the rapid growth of new science andtechnology, the functions of smartphones become more and morepowerful. Nevertheless, everything has two aspects. Smartphonesbring so much convenience for people and also bring the securityrisks at the same time. Malicious application has become a bigthreat to the mobile security.
Tianda Yang   +5 more
openaire   +1 more source

Timed Automata for Mobile Ransomware Detection.

Electron. Commun. Eur. Assoc. Softw. Sci. Technol., 2020
Considering the plethora of private and sensitive information stored in smartphone and tablets, it is easy to understand the reason why attackers develop everyday more and more aggressive malicious payloads with the aim to exfiltrate our data. One of the last trend in mobile malware landascape is represented by the so-called ransomware, a threat ...
Martinelli F., Mercaldo F., Santone A.
openaire   +2 more sources

On the Effectiveness of Behavior-Based Ransomware Detection

2020
Ransomware has been a growing threat to end-users in the past few years. In response, there is also a burgeoning market for anti-ransomware defense products, as well as research prototypes that explore more advanced, behavioral analyses. Intuitively, ransomware should be amenable to identification through behavioral analysis, since ransomware ...
Jaehyun Han   +2 more
openaire   +1 more source

Detecting Ransomware in Encrypted Web Traffic

2020
To date, only a small amount of research has focused on detecting ransomware at the network level, and none of the published proposals have addressed the challenges raised by the fact that an increasing number of ransomware are using encrypted channels for communication with the command and control (C&C) server, mainly, over the HTTPS protocol. Despite
Jaimin Modi   +4 more
openaire   +1 more source

The Inadequacy of Entropy-Based Ransomware Detection

2019
Many state-of-the-art anti-ransomware implementations monitoring file system activities choose to monitor file entropy-based changes to determine whether the changes may have been committed by ransomware, or to distinguish between compression and encryption operations.
Timothy R. McIntosh   +3 more
openaire   +1 more source

Detection and Decryption of Ransomware

2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2023
MS. M. Jayanthi   +3 more
openaire   +1 more source

RANSOMWARE BEHAVIOUR AND DETECTION

Ransomware Behaviour and Detection by Victor Ebri.. This is my Final Year Project. Gratitude to my beloved Project Supervisor, Professor Owolabi Olumide and to the Almighty God. This project examines how ransomware behaves, including how it infiltrates systems, encrypts files, and demands payment.
openaire   +1 more source

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