Search Results - "Manavi, Farnoush"

A novel approach for ransomware detection based on PE header using graph embedding by Manavi, Farnoush, Hamzeh, Ali

“…The development of cryptocurrency has led to an increase in a type of malware called ransomware. Ransomware is a family of malware that uses malicious…”
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CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks by Manavi, Farnoush, Sharma, Alok, Sharma, Ronesh, Tsunoda, Tatsuhiko, Shatabda, Swakkhar, Dehzangi, Iman

“…•DNA-binding proteins play a vital role in different biological activities.•This study proposes a new method called CNN-Pred to accurately predict DSB and…”
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A novel method for malware detection based on hardware events using deep neural networks by Ghanei, Hadis, Manavi, Farnoush, Hamzeh, Ali

“…With the increasing availability of internet access, the number of malware is growing dramatically. So, defence against malware is an important issue in the…”
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A PE header-based method for malware detection using clustering and deep embedding techniques by Rezaei, Tina, Manavi, Farnoush, Hamzeh, Ali

“…Recent years have witnessed the dramatic growth of malware programs in a wide range of malicious intentions following the expansion of computer systems. Hence,…”
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A New Method for Ransomware Detection Based on PE Header Using Convolutional Neural Networks by Manavi, Farnoush, Hamzeh, Ali

“…With the spread of information technology in human life, data protection is a critical task. On the other hand, malicious programs are developed, which can…”
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Static Detection of Ransomware Using LSTM Network and PE Header by Manavi, Farnoush, Hamzeh, Ali

“…Ransomware is a type of malware from cryptovirology that perpetually blocks access to a victim's data unless a ransom is paid. Today, this type of malware has…”
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A new method for malware detection using opcode visualization by Manavi, Farnoush, Hamzeh, Ali

“…Malware is a program that is developed with malicious purpose, such as sabotage the computer system, information theft or other malicious actions. Various…”
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LBCIM: Loyalty Based Competitive Influence Maximization with epsilon-greedy MCTS strategy by Alavi, Malihe, Manavi, Farnoush, Ansari, Amirhossein, Hamzeh, Ali

“…Competitive influence maximization has been studied for several years, and various frameworks have been proposed to model different aspects of information…”
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