A Honeypot with Machine Learning based Detection Framework for defending IoT based Botnet DDoS Attacks
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[1] Peng Liu,et al. The Effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved , 2018, IEEE Internet of Things Journal.
[2] Yi Zhang,et al. Internet-of-Things Security and Vulnerabilities: Taxonomy, Challenges, and Practice , 2018, J. Hardw. Syst. Secur..
[3] Daniel Jeswin Nallathambi,et al. Use of honeypots for mitigating DoS attacks targeted on IoT networks , 2017, 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP).
[4] Marcin Nawrocki,et al. A Survey on Honeypot Software and Data Analysis , 2016, ArXiv.
[5] Georgios Kambourakis,et al. DDoS in the IoT: Mirai and Other Botnets , 2017, Computer.
[6] Tsutomu Matsumoto,et al. IoTPOT: Analysing the Rise of IoT Compromises , 2015, WOOT.
[7] Zhuoqing Morley Mao,et al. Automated Classification and Analysis of Internet Malware , 2007, RAID.
[8] Xinyu Yang,et al. A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications , 2017, IEEE Internet of Things Journal.
[9] Thomas Hofmann,et al. Unsupervised Learning by Probabilistic Latent Semantic Analysis , 2004, Machine Learning.
[10] Yoshua Bengio,et al. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , 2014, ArXiv.
[11] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[12] Suresh Singh,et al. An Algorithm for Anomaly-based Botnet Detection , 2006, SRUTI.
[13] Fred Cohen,et al. A note on the role of deception in information protection , 1998, Computers & security.
[14] Meng Wang,et al. ThingPot: an interactive Internet-of-Things honeypot , 2018, ArXiv.
[15] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[16] Tsutomu Matsumoto,et al. IoTPOT: A Novel Honeypot for Revealing Current IoT Threats , 2016, J. Inf. Process..
[17] Terrence J. Sejnowski,et al. Unsupervised Learning , 2018, Encyclopedia of GIS.
[18] Carsten Willems,et al. Learning and Classification of Malware Behavior , 2008, DIMVA.
[19] Nick Feamster,et al. Machine Learning DDoS Detection for Consumer Internet of Things Devices , 2018, 2018 IEEE Security and Privacy Workshops (SPW).
[20] Sharath Chandra Guntuku,et al. Big Data Analytics framework for Peer-to-Peer Botnet detection using Random Forests , 2014, Inf. Sci..
[21] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[22] Michael Schukat,et al. A ZigBee honeypot to assess IoT cyberattack behaviour , 2017, 2017 28th Irish Signals and Systems Conference (ISSC).
[23] Ron Kohavi,et al. Supervised and Unsupervised Discretization of Continuous Features , 1995, ICML.
[24] Yuval Elovici,et al. N-BaIoT—Network-Based Detection of IoT Botnet Attacks Using Deep Autoencoders , 2018, IEEE Pervasive Computing.
[25] Roy Fielding,et al. Architectural Styles and the Design of Network-based Software Architectures"; Doctoral dissertation , 2000 .
[26] Razvan Deaconescu,et al. Detecting and Analyzing Zero-Day Attacks Using Honeypots , 2013, 2013 19th International Conference on Control Systems and Computer Science.
[27] Vern Paxson,et al. Outside the Closed World: On Using Machine Learning for Network Intrusion Detection , 2010, 2010 IEEE Symposium on Security and Privacy.
[28] Xiaolin Li,et al. DeepDefense: Identifying DDoS Attack via Deep Learning , 2017, 2017 IEEE International Conference on Smart Computing (SMARTCOMP).