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ORCIDJournal of Computer Virology and Hacking Techniques, Volume 17
Volume 17, Number 1, March 2021
- Daniel Ricardo dos Santos, Mario Dagrada, Elisa Costante:
Leveraging operational technology and the Internet of things to attack smart buildings. 1-20 - Mamta, Brij B. Gupta
:
An attribute-based keyword search for m-Health networks. 21-36 - Aleksandra V. Markelova:
Embedding asymmetric backdoors into the RSA key generator. 37-46 - Krzysztof Wawryn, Patryk Widulinski:
Detection of anomalies in compiled computer program files inspired by immune mechanisms using a template method. 47-59 - Zahian Ismail, Aman Jantan, Mohd Najwadi Yusoff, Muhammad Ubale Kiru:
The effects of feature selection on the classification of encrypted botnet. 61-74 - Rizwan Ur Rahman, Deepak Singh Tomar:
Threats of price scraping on e-commerce websites: attack model and its detection using neural network. 75-89
Volume 17, Number 2, June 2021
- Mathilde Venault, Baptiste David:
Superfetch: the famous unknown spy. 91-104 - François Plumerault, Baptiste David:
DBI, debuggers, VM: gotta catch them all. 105-117 - Manar Aldaoud, Dawood Al-Abri, Ahmed Al-Maashri, Firdous Kausar:
DHCP attacking tools: an analysis. 119-129 - Hejun Xu, Binkai Jiang:
Study on a security intelligence trading platform based on blockchain and IPFS. 131-137 - Francesco Mercaldo, Antonella Santone:
Audio signal processing for Android malware detection and family identification. 139-152 - Yunchun Zhang, Haorui Li, Yang Zheng, Shaowen Yao, Jiaqi Jiang:
Enhanced DNNs for malware classification with GAN-based adversarial training. 153-163
Volume 17, Number 3, September 2021
- Antonella Santone:
Editorial. 165-166 - Marco Campion, Mila Dalla Preda, Roberto Giacobazzi:
Learning metamorphic malware signatures from samples. 167-183 - Baptiste David, Maxence Delong, Eric Filiol:
Detection of crawler traps: formalization and implementation - defeating protection on internet and on the TOR network. 185-198 - Joanna Moubarak, Eric Filiol, Maroun Chamoun:
The blockchain potential in computer virology: leveraging combinatorial techniques of k-ary codes. 199-220 - Francesco Mercaldo:
A framework for supporting ransomware detection and prevention based on hybrid analysis. 221-227 - Mark Vella, Christian Colombo, Robert Abela, Peter Spacek:
RV-TEE: secure cryptographic protocol execution based on runtime verification. 229-248 - Cinzia Bernardeschi, Gianluca Dini, Maurizio Palmieri, Francesco Racciatti:
A framework for formal analysis and simulative evaluation of security attacks in wireless sensor networks. 249-263
Volume 17, Number 4, December 2021
- Alireza Shameli-Sendi:
Understanding Linux kernel vulnerabilities. 265-278 - Niccolò Marastoni, Roberto Giacobazzi, Mila Dalla Preda:
Data augmentation and transfer learning to classify malware images in a deep learning context. 279-297 - Yash Shashikant Joshi, Harsh Mahajan, Sumedh Nitin Joshi, Kshitij Pradeep Gupta, Aarti Amod Agarkar:
Signature-less ransomware detection and mitigation. 299-306 - Soodeh Hosseini, Ali Emamali Nezhad, Hossein Seilani:
Android malware classification using convolutional neural network and LSTM. 307-318 - Hadis Ghanei, Farnoush Manavi, Ali Hamzeh:
A novel method for malware detection based on hardware events using deep neural networks. 319-331 - Varshini Reddy, Naimisha Kolli, Balakrishnan Narayanaswamy:
Malware detection and classification using community detection and social network analysis. 333-346
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