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A survey on analysis and detection of Android ransomware
Concurrency and Computation: Practice and Experience, 2021AbstractSmart‐phones have become a necessity for users due to their abundance of services such as global positioning system, Wi‐Fi, voice/video calls, SMS, camera, and so forth. It contains personal information of users including photos, documents, messages, and videos. Android‐based smart‐phones enriched with many applications (commonly known as apps)
Shweta Sharma +2 more
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The static analysis of WannaCry ransomware
2018 20th International Conference on Advanced Communication Technology (ICACT), 2018Hacking weapons come in handy for cyber criminals anytime. Ransomware has increased in popularity. Its creators are playing our fears. The rapid proliferation of ransomware attack indicates the growing tendency of ransomware-as-a-service (RaaS) and the integration of hacking weapons.
Shou-Ching Hsiao, Da-Yu Kao
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Double-Extortion Ransomware: A Technical Analysis of Maze Ransomware
2021In cybersecurity, reverse engineering attempts to take malware apart to learn how it works in hopes of detecting and reversing the malware’s effects. This includes decrypting files when dealing with ransomware and learning how hackers write these programs in hopes of preventing future attacks.
Quintin Kerns +2 more
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District Ransomware: Static and Dynamic Analysis
2020 8th International Symposium on Digital Forensics and Security (ISDFS), 2020Ransomware is one of the fastest growing threats to internet security. New Ransomware attacks happen around the globe, on a weekly basis. These attacks happen to individual users and groups, from almost any type of business. Many of these attacks involve Ransomware as a service, where one attacker creates a template Malware, which can be purchased and ...
Neil Andes, Mingkui Wei
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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, 2015Along 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
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Ransomware Analysis using Cyber Kill Chain
2021 8th International Conference on Future Internet of Things and Cloud (FiCloud), 2021The havoc caused by ransomware in the recent past is far greater than any other form of malware. Victims of this specific form of malware include, but not limited to; SMEs, large organizations, and government infrastructure. Most of these ransomwares exploit zero-day vulnerabilities and quite easily bypass the conventional security mechanisms, which ...
Qublai Khan Ali Mirza +4 more
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Ransomware Analysis Using Reverse Engineering
2019Ransomware threat continues to grow over years. The existing defense techniques for detecting malicious malware will never be sufficient because of Malware Persistence Techniques. Packed malware makes analysis harder & also it may sound like a trusted executable for evading modern antivirus.
S. Naveen, T. Gireesh Kumar
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Comparative analysis of various ransomware virii
Journal in Computer Virology, 2008The word ransomware and the associated phenomenon appeared something like 3 years ago, around the year 2005. It shed light on a specific class of malwares which demand a payment in exchange for a stolen functionality. Most widespread ransomwares make an intensive use of file encryption as an extortion mean.
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Cyber Fraud: Detection and Analysis of the Crypto-Ransomware
2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2020Currently as the widespread use of virtual monetary units (like Bitcoin, Ethereum, Ripple, Litecoin) has begun, people with bad intentions have been attracted to this area and have produced and marketed ransomware in order to obtain virtual currency easily.
Ilker Kara, Murat Aydos
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Phylogenetic Analysis for Ransomware Detection and Classification into Families
2018The widespread of ransomware experienced in the last years has been caused also by the ability of attackers to introduce changes and mutations that make the malware hard to identify from antimalware software. In this paper we propose a two-phase method based on machine learning on API-level analysis aimed (i) to effectively detect ransomware despite ...
F Martinelli +3 more
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