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Showing 3 results for Jafari
Seyedeh Zeinab Mohammadi, Dr Nima Jafari Navimipour,
Volume 5, Issue 1 (9-2016)
Abstract
Seyed Ata S. Jafari, Mohammadhadi Alaeiyan, Aeed Parsa,
Volume 8, Issue 2 (2-2020)
Abstract
There is no doubt that malicious programs are one of the permanent threats to computer systems. Malicious programs distract the normal process of computer systems to apply their roguish purposes. Meanwhile, there is also a type of malware known as the ransomware that limits victims to access their computer system either by encrypting the victim's files or by locking the system. Despite other malicious families, ransomware families explicitly warn victims against its existence on the computer system. Although ransomwares are serious problems with computers, they can be detected with restricted footprints on victims’ computers. In this research, we provide a ransomware monitoring system which requires special environments to extract the malware filesystem's activities. A set of features based on filesystem's activities is extracted to classify ransomware families with an accuracy 98% by applying machine learning technique.
Zahra Jafari, Sahar Palimi, Mohamadamin Sabaei, Rahman Hajian, Hossein Erfani,
Volume 12, Issue 2 (2-2024)
Abstract
In the Internet of Things (IoT) environment, security and privacy are paramount concerns for critical applications. The LoRa protocol efficiently enables long-range communication for resource-constrained end devices in LoRaWAN networks. To foster technology adoption and user trust, safeguarding the data collected by end devices is essential. Authentication and key agreement protocols play a pivotal role in achieving this goal. Here, we introduce a novel scheme for authentication and key exchange in LoRaWAN, enabling mutual authentication among participants. This scheme empowers users/end devices and network servers to establish secure end-to-end session keys without unconditional trust. We assess the scheme's security informally and provide formal verification using AVISPA tools and the BAN logic. Furthermore, we compare it to existing authentication schemes, demonstrating its efficiency in terms of computational and communication overhead.
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