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Living-off-the-Land is an evasion technique used by attackers where native binaries are abused to achieve malicious intent.
2000
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N. V. Chawla, K. W. Bowyer, L. O. Hall, and W. P. Kegelmeyer, “Smote: Synthetic minority over-sampling technique,” in Journal of Artificial Intelligence Research 16
2002
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M. Jabbar, R. Aluvalu, et al
2017
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A.-H. Muna, N. Moustafa, and E. Sitnikova, “Identification of malicious activities in industrial internet of things based on deep learning models,” Journal of information security and applications
2018
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A. Yazdinejad, A. Bohlooli, and K. Jamshidi, “Efficient design and hardware implementation of the openflow v1. 3 switch on the virtex-6 fpga ml605,” The Journal of Supercomputing
2018
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A. Yazdinejad, R. M. Parizi, A. Dehghantanha, and K.-K. R. Choo, “Blockchain-enabled authentication handover with efficient privacy protection in sdn-based 5g networks,” IEEE Transactions on Network Science and Engineering
2019
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M. Hasan, M. M. Islam, M. I. I. Zarif, and M. Hashem, “Attack and anomaly detection in iot sensors in iot sites using machine learning approaches,” Internet of Things
2019
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R. M. Parizi, S. Homayoun, A. Yazdinejad, A. Dehghantanha, and K.-K. R. Choo, “Integrating privacy enhancing techniques into blockchains using sidechains,” in 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE)
2019
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A. Yazdinejad, H. HaddadPajouh, A. Dehghantanha, R. M. Parizi, G. Srivastava, and M.-Y. Chen, “Cryptocurrency malware hunting: A deep recurrent neural network approach,” Applied Soft Computing
2020
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A. Yazdinejad, R. M. Parizi, A. Dehghantanha, Q. Zhang, and K.-K. R. Choo, “An energy-efficient sdn controller architecture for iot networks with blockchain-based security,” IEEE Transactions on Services Computing
2020
Cited alongside, same era.
X. Yan, Y. Xu, X. Xing, B. Cui, Z. Guo, and T. Guo, “Trustworthy network anomaly detection based on an adaptive learning rate and momentum in iiot,” IEEE Transactions on Industrial Informatics
2020
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A. Yazdinejad, R. M. Parizi, G. Srivastava, and A. Dehghantanha, “Making sense of blockchain for ai deepfakes technology,” in 2020 IEEE Globecom Workshops (GC Wkshps
2020
Cited alongside, same era.
R. Tarek, S. Chaimae, and C. Habiba, “Runtime api signature for fileless malware detection,” in Advances in Intelligent Systems and Computing, vol 1129
2020
Cited alongside, same era.
A. Yazdinejad, R. M. Parizi, A. Dehghantanha, and H. Karimipour, “Federated learning for drone authentication,” Ad Hoc Networks
2021
Later among the works it cites.
A. Yazdinejad, B. Zolfaghari, A. Azmoodeh, A. Dehghantanha, H. Karimipour, E. Fraser, A. G. Green, C. Russell, and E. Duncan, “A review on security of smart farming and precision agriculture: Security aspects, attacks, threats and countermeasures,” Applied Sciences
2021
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S. Nakhodchi, B. Zolfaghari, A. Yazdinejad, and A. Dehghantanha, “Steeleye: An application-layer attack detection and attribution model in industrial control systems using semi-deep learning,” in 2021 18th International Conference on Privacy, Security and Trust (PST)
2021
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G. Han, J. Tu, L. Liu, M. Martínez-García, and Y. Peng, “Anomaly detection based on multidimensional data processing for protecting vital devices in 6g enabled massive iiot,” IEEE Internet of Things Journal (Early Access Article)
2021
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A. Yazdinejad, R. M. Parizi, A. Dehghantanha, and K.-K. R. Choo, “P4-to-blockchain: A secure blockchain-enabled packet parser for software defined networking,” Computers & Security
2020
Cited alongside, same era.
A. Yazdinejad, G. Srivastava, R. M. Parizi, A. Dehghantanha, K.-K. R. Choo, and M. Aledhari, “Decentralized authentication of distributed patients in hospital networks using blockchain,” IEEE journal of biomedical and health informatics
2020
Cited alongside, same era.
A. Yazdinejad, R. M. Parizi, A. Dehghantanha, G. Srivastava, S. Mohan, and A. M. Rababah, “Cost optimization of secure routing with untrusted devices in software defined networking,” Journal of Parallel and distributed Computing
2020
Cited alongside, same era.
F. Barr-Smith, X. Ugarte-Pedrero, M. Grazian, R. Spolaor, and I. Martinovic, “Survivalism: Systematic analysis of windows malware living-off-the-land,” in Symposium on Security and Privacy (SP)
2021
Cited alongside, same era.
“Lolbas: Living off the land binaries, scripts and libraries.”
Cited in the paper.
“The dfir report.”
Cited in the paper.
Later among the works it cites.
T. Ongun, J. W. Stokes, J. B. Or, K. Tian, F. Tajaddodianfar, J. Neil, C. Seifert, A. Oprea, and J. C. Platt, “Living-off-the-land command detection using active learning,” 2021
2021
Later among the works it cites.
J. Bellizzi1, M. Vella1, C. Colombo1, and J. Hernandez-Castro, “Responding to living-off-the-land tactics using just-in-time memory forensics (jit-mf) for android,” 2021
2021
Later among the works it cites.
A. Yazdinejad, A. Dehghantanha, R. M. Parizi, M. Hammoudeh, H. Karimipour, and G. Srivastava, “Block hunter: Federated learning for cyber threat hunting in blockchain-based iiot networks,” IEEE Transactions on Industrial Informatics
2022
Closest in time.
A. Corallo, M. Lazoi, M. Lezzi, and A. Luperto, “Cybersecurity awareness in the context of the industrial internet of things: A systematic literature review,” Computers in Industry
2022
Closest in time.