Results 131 to 140 of about 1,242 (180)

A hybrid machine learning model for intrusion detection in wireless sensor networks leveraging data balancing and dimensionality reduction. [PDF]

Sci Rep
Talukder MA, Khalid M, Sultana N.
europepmc   +1 more source

Combatting ransomware in ZephyrOS-activated industrial IoT environments. [PDF]

Heliyon
Tariq U.
europepmc   +1 more source

A hierarchical deep learning framework with doubly regularized loss for robust malware detection and family categorization. [PDF]

Sci Rep
Abed Alsaedi S, Alwateer M, Helal Alharbi N, Magdy Balaha H, M Aboelnaga M, Badawy M, A Elhosseini M.   +6 more
europepmc   +1 more source

AI in Combating Cyber Threats to Indian Pharmaceutical Intellectual Property: Legal Perspectives.

J Pharm Bioallied Sci
Sharma G, Variath AG, Medhoo P, Srivastava A, Rathore S, Rathore D.   +5 more
europepmc   +1 more source

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Ransomware: stages, detection and evasion

2021 International Conference on Software Engineering & Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM), 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. This paper discuses on stages of ransomware attacks starting from reconnaissance to extortion.
Yus Kamalrul Bin Mohamed Yunus, Syahrulanuar Bin Ngah   +1 more
openaire   +1 more source

Detecting Ransomware using GURLS

2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC), 2018
Ransomware is a malware, which upon execution scrambles the framework and it denies the client from accessing the data until the point when a payoff sum is not met from the victim. Recently, this kind of malware has shown a massive growth and had affected nearly 100 nations around the globe.
N.B Harikrishnan, K.P Soman
openaire   +1 more source

Extinguishing ransomware - a hybrid approach to android ransomware detection

2018
Mobile ransomware is on the rise and effective defense from it is of utmost importance to guarantee security of mobile users’ data. Current solutions provided by antimalware vendors are signature-based and thus ineffective in removing ransomware and restoring the infected devices and files.
Ferrante A, Malek M, Martinelli F, Mercaldo F, Milosevic, J.   +5 more
openaire   +3 more sources

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 ...
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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