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2020 – today
- 2020
[j37]Alexander Yakubov, Wazen M. Shbair, Nida Khan, Radu State, Christophe Medinger, Jean Hilger:
BlockPGP: A Blockchain-based Framework for PGP Key Servers. Int. J. Netw. Comput. 10(1): 1-24 (2020)- [c176]Sean Rivera, Vijay K. Gurbani, Sofiane Lagraa, Antonio Ken Iannillo
, Radu State:
Leveraging eBPF to preserve user privacy for DNS, DoT, and DoH queries. ARES 2020: 78:1-78:10 - [c175]Robert Norvill, Cyril Cassanges, Wazen M. Shbair, Jean Hilger, Andrea J. Cullen, Radu State:
A Security and Privacy Focused KYC Data Sharing Platform. BSCI 2020: 151-160 - [c174]Nino Adamashvili, Radu State, Cyril Cassagnes, Ruggiero Sardano, Nicola Faccilongo, Francesco Contò:
Opportunities for Blockchain Diffusion in the Agri-food Supply Chain: Case Study in Wine Sector - Abstract. HAICTA 2020: 68-69 - [c173]Ramiro Camino, Christof Ferreira Torres, Mathis Baden, Radu State:
A Data Science Approach for Detecting Honeypots in Ethereum. IEEE ICBC 2020: 1-9 - [c172]Christof Ferreira Torres, Mathis Baden, Radu State:
Towards Usable Protection Against Honeypots. IEEE ICBC 2020: 1-2 - [c171]Cyril Renaud Cassagnes, Lucian Trestioreanu, Clement Joly, Radu State:
The rise of eBPF for non-intrusive performance monitoring. NOMS 2020: 1-7 - [c170]Sofiane Lagraa, Radu State:
Process mining-based approach for investigating malicious login events. NOMS 2020: 1-5 - [c169]Faouzi Amrouche, Sofiane Lagraa, Raphaël Frank, Radu State:
Intrusion detection on robot cameras using spatio-temporal autoencoders: A self-driving car application. VTC Spring 2020: 1-5 - [i28]Nida Khan, Tabrez Ahmad, Anass Patel, Radu State:
Blockchain Governance: An Overview and Prediction of Optimal Strategies using Nash Equilibrium. CoRR abs/2003.09241 (2020) - [i27]Ramiro Camino, Christian A. Hammerschmidt, Radu State:
Minority Class Oversampling for Tabular Data with Deep Generative Models. CoRR abs/2005.03773 (2020) - [i26]Christof Ferreira Torres, Antonio Ken Iannillo, Arthur Gervais, Radu State:
Towards Smart Hybrid Fuzzing for Smart Contracts. CoRR abs/2005.12156 (2020)
2010 – 2019
- 2019
- [c168]Jérémy Charlier, Radu State, Jean Hilger:
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment. Canadian Conference on AI 2019: 556-562 - [c167]Eric Falk, Vendel Toth, Alexandre Knaff, Radu State:
A Tale of Location-Based User Authentication. BigComp 2019: 1-4 - [c166]Nida Khan, Radu State:
Lightning Network: A Comparative Review of Transaction Fees and Data Analysis. BLOCKCHAIN 2019: 11-18 - [c165]Mathis Baden, Christof Ferreira Torres, Beltran Borja Fiz Pontiveros, Radu State:
Whispering Botnet Command and Control Instructions. CVCBT 2019: 77-81 - [c164]Manxing Du, Christian A. Hammerschmidt, Georgios Varisteas, Radu State, Mats Brorsson, Zhu Zhang:
time series modelling of market price in real-time bidding. ESANN 2019 - [c163]Beltran Borja Fiz Pontiveros, Christof Ferreira Torres, Radu State:
Sluggish Mining: Profiting from the Verifier's Dilemma. Financial Cryptography Workshops 2019: 67-81 - [c162]Wazen M. Shbair, Mathis Steichen, Jérôme François, Radu State:
BlockZoom: Large-Scale Blockchain Testbed. IEEE ICBC 2019: 5-6 - [c161]Robert Norvill, Mathis Steichen, Wazen M. Shbair, Radu State:
Demo: Blockchain for the Simplification and Automation of KYC Result Sharing. IEEE ICBC 2019: 9-10 - [c160]Beltran Borja Fiz Pontiveros, Mathis Steichen, Radu State:
Mint Centrality: A Centrality Measure for the Bitcoin Transaction Graph. IEEE ICBC 2019: 159-162 - [c159]Robert Norvill, Beltran Fiz, Radu State, Andrea J. Cullen:
Standardising smart contracts: Automatically inferring ERC standards. IEEE ICBC 2019: 192-195 - [c158]Manxing Du, Alexander Imani Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State:
Know Your Enemies and Know Yourself in the Real-Time Bidding Function Optimisation. ICDM Workshops 2019: 973-981 - [c157]Nida Khan, Tabrez Ahmad, Radu State:
Blockchain-based micropayment systems: economic impact. IDEAS 2019: 45:1-45:3 - [c156]Georgios Kaiafas, Christian A. Hammerschmidt, Radu State, Cu D. Nguyen, Thorsten Ries, Mohamed Ourdane:
An Experimental Analysis of Fraud Detection Methods in Enterprise Telecommunication Data using Unsupervised Outlier Ensembles. IM 2019: 37-42 - [c155]Faouzi Amrouche, Sofiane Lagraa, Georgios Kaiafas, Radu State:
Graph-based malicious login events investigation. IM 2019: 63-66 - [c154]Sofiane Lagraa, Maxime Cailac, Sean Rivera, Frédéric Beck, Radu State:
Real-Time Attack Detection on Robot Cameras: A Self-Driving Car Application. IRC 2019: 102-109 - [c153]Sean Rivera, Sofiane Lagraa, Radu State:
ROSploit: Cybersecurity Tool for ROS. IRC 2019: 415-416 - [c152]Antonio Ken Iannillo, Radu State:
A Proposal for Security Assessment of Trustzone-M Based Software. ISSRE Workshops 2019: 126-127 - [c151]Sean Rivera, Sofiane Lagraa, Antonio Ken Iannillo, Radu State:
Auto-Encoding Robot State Against Sensor Spoofing Attacks. ISSRE Workshops 2019: 252-257 - [c150]Fernando Kaway Carvalho Ota, Jorge Augusto Meira, Cyril Renaud Cassagnes, Radu State:
Mobile App to SGX Enclave Secure Channel. ISSRE Workshops 2019: 258-263 - [c149]Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger:
MQLV: Optimal Policy of Money Management in Retail Banking with Q-Learning. MIDAS@PKDD 2019: 1-15 - [c148]Georgios Kaiafas, Christian A. Hammerschmidt, Sofiane Lagraa, Radu State:
Auto Semi-supervised Outlier Detection for Malicious Authentication Events. PKDD/ECML Workshops (2) 2019: 176-190 - [c147]Jérémy Charlier, Radu State, Jean Hilger:
PHom-GeM: Persistent Homology for Generative Models. SDS 2019: 87-92 - [c146]Nida Khan, Tabrez Ahmad, Radu State:
Feasibility of Stellar as a Blockchain-Based Micropayment System. SmartBlock 2019: 53-65 - [c145]Eric Aislan Antonelo, Radu State:
On importance weighting for electric fraud detection with dataset shifts. SMC 2019: 3235-3242 - [c144]Sean Rivera, Sofiane Lagraa, Cristina Nita-Rotaru, Sheila Becker, Radu State:
ROS-Defender: SDN-Based Security Policy Enforcement for Robotic Applications. IEEE Symposium on Security and Privacy Workshops 2019: 114-119 - [c143]Christof Ferreira Torres, Mathis Steichen, Radu State:
The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts. USENIX Security Symposium 2019: 1591-1607 - [i25]Ramiro Daniel Camino, Christian A. Hammerschmidt, Radu State:
Improving Missing Data Imputation with Deep Generative Models. CoRR abs/1902.10666 (2019) - [i24]Manxing Du, Alexander Imani Cowen-Rivers, Ying Wen, Phu Sakulwongtana, Jun Wang, Mats Brorsson, Radu State:
Infer Your Enemies and Know Yourself, Learning in Real-Time Bidding with Partially Observable Opponents. CoRR abs/1902.11212 (2019) - [i23]Jérémy Charlier, Radu State, Jean Hilger:
Modeling Smart Contracts Activities: A Tensor Based Approach. CoRR abs/1905.09868 (2019) - [i22]Jérémy Charlier, Radu State, Jean Hilger:
Non-Negative PARATUCK2 Tensor Decomposition Combined to LSTM Network For Smart Contracts Profiling. CoRR abs/1905.09869 (2019) - [i21]Jérémy Charlier, Radu State, Jean Hilger:
PHom-GeM: Persistent Homology for Generative Models. CoRR abs/1905.09894 (2019) - [i20]Jérémy Charlier, Eric Falk, Radu State, Jean Hilger:
User-Device Authentication in Mobile Banking using APHEN for Paratuck2 Tensor Decomposition. CoRR abs/1905.10363 (2019) - [i19]Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger:
VecHGrad for solving accurately complex tensor decomposition. CoRR abs/1905.12413 (2019) - [i18]Jérémy Charlier, Gaston Ormazabal, Radu State, Jean Hilger:
MQLV: Modified Q-Learning for Vasicek Model. CoRR abs/1905.12567 (2019) - [i17]Jérémy Charlier, Radu State, Jean Hilger:
Predicting Sparse Clients' Actions with CPOPT-Net in the Banking Environment. CoRR abs/1905.12568 (2019) - [i16]Jérémy Charlier, François Petit, Gaston Ormazabal, Radu State, Jean Hilger:
PHom-WAE: Persitent Homology for Wasserstein Auto-Encoders. CoRR abs/1905.13020 (2019) - [i15]Jérémy Charlier, Aman Singh, Gaston Ormazabal, Radu State, Henning Schulzrinne:
SynGAN: Towards Generating Synthetic Network Attacks using GANs. CoRR abs/1908.09899 (2019) - [i14]Ramiro Camino, Christof Ferreira Torres, Radu State:
A Data Science Approach for Honeypot Detection in Ethereum. CoRR abs/1910.01449 (2019) - 2018
- [c142]Christof Ferreira Torres, Julian Schütte, Radu State:
Osiris: Hunting for Integer Bugs in Ethereum Smart Contracts. ACSAC 2018: 664-676 - [c141]Jérémy Charlier, Radu State, Jean Hilger:
Non-negative Paratuck2 Tensor Decomposition Combined to LSTM Network for Smart Contracts Profiling. BigComp 2018: 74-81 - [c140]Patrick O. Glauner, Petko Valtchev, Radu State:
Impact of Biases in Big Data. ESANN 2018 - [c139]Alexander Yakubov, Wazen M. Shbair, Radu State:
BlockPGP: A Blockchain-Based Framework for PGP Key Servers. CANDAR Workshops 2018: 316-322 - [c138]Jérémy Charlier, Eric Falk, Radu State, Jean Hilger:
User-Device Authentication in Mobile Banking Using APHEN for Paratuck2 Tensor Decomposition. ICDM Workshops 2018: 886-894 - [c137]Aman Singh, Shashank Murali, Lalka Rieger, Ruoyu Li, Stefan Hommes, Radu State, Gaston Ormazabal, Henning Schulzrinne:
HANZO: Collaborative Network Defense for Connected Things. IPTComm 2018: 1-8 - [c136]Robert Norvill, Beltran Borja Fiz Pontiveros, Radu State, Andrea J. Cullen:
IPFS for Reduction of Chain Size in Ethereum. iThings/GreenCom/CPSCom/SmartData 2018: 1121-1128 - [c135]Mathis Steichen, Beltran Fiz, Robert Norvill, Wazen M. Shbair, Radu State:
Blockchain-Based, Decentralized Access Control for IPFS. iThings/GreenCom/CPSCom/SmartData 2018: 1499-1506 - [c134]Sandro Mund, Raphaël Frank, Georgios Varisteas, Radu State:
Visualizing the Learning Progress of Self-Driving Cars. ITSC 2018: 2358-2363 - [c133]Georgios Varisteas, Tigran Avanesov, Radu State:
Distributed C++-Python embedding for fast predictions and fast prototyping. DIDL@Middleware 2018: 9-14 - [c132]Georgios Kaiafas, Georgios Varisteas, Sofiane Lagraa, Radu State, Cu D. Nguyen, Thorsten Ries, Mohamed Ourdane:
Detecting malicious authentication events trustfully. NOMS 2018: 1-6 - [c131]Nida Khan, Abdelkader Lahmadi, Jérôme François, Radu State:
Towards a management plane for smart contracts: Ethereum case study. NOMS 2018: 1-6 - [c130]Robert Norvill, Beltran Borja Fiz Pontiveros, Radu State, Andrea J. Cullen:
Visual emulation for Ethereum's virtual machine. NOMS 2018: 1-4 - [c129]Beltran Borja Fiz Pontiveros, Robert Norvill, Radu State:
Monitoring the transaction selection policy of Bitcoin mining pools. NOMS 2018: 1-6 - [c128]Wazen M. Shbair, Mathis Steichen, Jérôme François, Radu State:
Blockchain orchestration and experimentation framework: A case study of KYC. NOMS 2018: 1-6 - [c127]Alexander Yakubov, Wazen M. Shbair, Anders Wallbom, David Sanda, Radu State:
A blockchain-based PKI management framework. NOMS 2018: 1-6 - [c126]Beltran Borja Fiz Pontiveros, Robert Norvill, Radu State:
Recycling Smart Contracts: Compression of the Ethereum Blockchain. NTMS 2018: 1-5 - [i13]Patrick O. Glauner, Radu State, Petko Valtchev, Diogo Duarte:
On the Reduction of Biases in Big Data Sets for the Detection of Irregular Power Usage. CoRR abs/1801.05627 (2018) - [i12]Patrick O. Glauner, Petko Valtchev, Radu State:
Impact of Biases in Big Data. CoRR abs/1803.00897 (2018) - [i11]Ramiro Camino, Christian A. Hammerschmidt, Radu State:
Generating Multi-Categorical Samples with Generative Adversarial Networks. CoRR abs/1807.01202 (2018) - 2017
- [j36]Patrick O. Glauner, Jorge Augusto Meira, Petko Valtchev, Radu State, Franck Bettinger:
The Challenge of Non-Technical Loss Detection Using Artificial Intelligence: A Survey. Int. J. Comput. Intell. Syst. 10(1): 760-775 (2017) - [j35]Eric Falk, Vijay K. Gurbani, Radu State:
Query-able Kafka: An agile data analytics pipeline for mobile wireless networks. Proc. VLDB Endow. 10(12): 1646-1657 (2017) - [c125]Eric Falk, Jérémy Charlier, Radu State:
Your Moves, Your Device: Establishing Behavior Profiles Using Tensors. ADMA 2017: 460-474 - [c124]Manxing Du, Redouane Sassioui, Georgios Varisteas, Radu State, Mats Brorsson, Omar Cherkaoui:
Improving Real-Time Bidding Using a Constrained Markov Decision Process. ADMA 2017: 711-726 - [c123]Khalil Blaiech, Salaheddine Hamadi, Stefan Hommes, Petko Valtchev, Omar Cherkaoui, Radu State:
Rule Compilation in Multi-Tenant Networks. ANCS 2017: 97-98 - [c122]Beltran Fiz, Stefan Hommes, Radu State:
Confirmation Delay Prediction of Transactions in the Bitcoin Network. CSA/CUTE 2017: 534-539 - [c121]Sofiane Lagraa, Jérôme François, Abdelkader Lahmadi, Marine Miner, Christian A. Hammerschmidt, Radu State:
BotGM: Unsupervised graph mining to detect botnets in traffic flows. CSNet 2017: 1-8 - [c120]Patrick O. Glauner, Manxing Du, Victor Paraschiv, Andrey Boytsov, Isabel Lopez Andrade, Jorge Augusto Meira, Petko Valtchev, Radu State:
The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. ESANN 2017 - [c119]Eric Falk, Stefan Repcek, Beltran Fiz, Stefan Hommes, Radu State, Raimondas Sasnauskas:
VSOC - A Virtual Security Operating Center. GLOBECOM 2017: 1-6 - [c118]Eric A. Antonelo, Radu State:
Recurrent Dynamical Projection for Time Series-Based Fraud Detection. ICANN (2) 2017: 503-511 - [c117]Vijay K. Gurbani, Dan Kushnir, Veena B. Mendiratta, Chitra Phadke, Eric Falk, Radu State:
Detecting and predicting outages in mobile networks with log data. ICC 2017: 1-7 - [c116]Robert Norvill, Beltran Borja Fiz Pontiveros, Radu State, Irfan Awan, Andrea J. Cullen:
Automated Labeling of Unknown Contracts in Ethereum. ICCCN 2017: 1-6 - [c115]Patrick O. Glauner, Niklas Dahringer, Oleksandr Puhachov, Jorge Augusto Meira, Petko Valtchev, Radu State, Diogo Duarte:
Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations. ICDM Workshops 2017: 258-265 - [c114]Ramiro Daniel Camino, Radu State, Leandro Montero, Petko Valtchev:
Finding Suspicious Activities in Financial Transactions and Distributed Ledgers. ICDM Workshops 2017: 787-796 - [c113]Eric Falk, Ramiro Camino, Radu State, Vijay K. Gurbani:
On non-parametric models for detecting outages in the mobile network. IM 2017: 1139-1142 - [c112]Mathis Steichen, Stefan Hommes, Radu State:
ChainGuard - A firewall for blockchain applications using SDN with OpenFlow. IPTComm 2017: 1-8 - [c111]Christian A. Hammerschmidt, Sebastian Garcia, Sicco Verwer, Radu State:
Reliable Machine Learning for Networking: Key Issues and Approaches. LCN 2017: 167-170 - [c110]Salvatore Signorello, Samuel Marchal, Jérôme François, Olivier Festor, Radu State:
Advanced interest flooding attacks in named-data networking. NCA 2017: 1-10 - [c109]Stefan Hommes, Petko Valtchev, Khalil Blaiech, Salaheddine Hamadi, Omar Cherkaoui, Radu State:
Optimising packet forwarding in multi-tenant networks using rule compilation. NCA 2017: 305-313 - [c108]Jérémy Charlier, Sofiane Lagraa, Radu State, Jérôme François:
Profiling Smart Contracts Interactions Tensor Decomposition and Graph Mining. MIDAS@PKDD/ECML 2017: 31-42 - [i10]Patrick O. Glauner, Angelo Migliosi, Jorge Augusto Meira, Eric Aislan Antonelo, Petko Valtchev, Radu State, Franck Bettinger:
Is Big Data Sufficient for a Reliable Detection of Non-Technical Losses? CoRR abs/1702.03767 (2017) - [i9]Patrick O. Glauner, Manxing Du, Victor Paraschiv, Andrey Boytsov, Isabel Lopez Andrade, Jorge Augusto Meira, Petko Valtchev, Radu State:
The Top 10 Topics in Machine Learning Revisited: A Quantitative Meta-Study. CoRR abs/1703.10121 (2017) - [i8]Christian A. Hammerschmidt, Radu State, Sicco Verwer:
Human in the Loop: Interactive Passive Automata Learning via Evidence-Driven State-Merging Algorithms. CoRR abs/1707.09430 (2017) - [i7]Patrick O. Glauner, Niklas Dahringer, Oleksandr Puhachov, Jorge Augusto Meira, Petko Valtchev, Radu State, Diogo Duarte:
Identifying Irregular Power Usage by Turning Predictions into Holographic Spatial Visualizations. CoRR abs/1709.03008 (2017) - 2016
- [j34]Carol Davids, Vijay K. Gurbani, Gaston Ormazabal, Andrew Rollins, Kundan Singh, Radu State:
Research topics related to real-time communications over 5G networks. Comput. Commun. Rev. 46(3): 8:1-8:6 (2016) - [j33]Kevin Allix, Tegawendé F. Bissyandé, Quentin Jérome, Jacques Klein, Radu State, Yves Le Traon:
Empirical assessment of machine learning-based malware detectors for Android - Measuring the gap between in-the-lab and in-the-wild validation scenarios. Empir. Softw. Eng. 21(1): 183-211 (2016) - [c107]Patrick O. Glauner, Jorge Augusto Meira, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni:
Neighborhood features help detecting non-technical losses in big data sets. BDCAT 2016: 253-261 - [c106]Manxing Du, Radu State, Mats Brorsson, Tigran Avanesov:
Behavior profiling for mobile advertising. BDCAT 2016: 302-307 - [c105]Christian A. Hammerschmidt, Samuel Marchal, Radu State, Sicco Verwer:
Behavioral clustering of non-stationary IP flow record data. CNSM 2016: 297-301 - [c104]Christian A. Hammerschmidt, Benjamin Loos, Radu State, Thomas Engel:
Flexible State-Merging for Learning (P)DFAs in Python. ICGI 2016: 154-159 - [c103]Salaheddine Hamadi, Khalil Blaiech, Petko Valtchev, Omar Cherkaoui, Radu State:
Compiling packet forwarding rules for switch pipelined architecture. INFOCOM 2016: 1-9 - [c102]Patrick O. Glauner, Andre Boechat, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte:
Large-scale detection of non-technical losses in imbalanced data sets. ISGT 2016: 1-5 - [c101]Christian A. Hammerschmidt, Samuel Marchal, Radu State, Gaetano Pellegrino, Sicco Verwer:
Efficient Learning of Communication Profiles from IP Flow Records. LCN 2016: 559-562 - [c100]Salvatore Signorello, Radu State, Jérôme François, Olivier Festor:
NDN.p4: Programming information-centric data-planes. NetSoft 2016: 384-389 - [i6]Patrick O. Glauner, Andre Boechat, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte:
Large-Scale Detection of Non-Technical Losses in Imbalanced Data Sets. CoRR abs/1602.08350 (2016) - [i5]Patrick O. Glauner, Andre Boechat, Lautaro Dolberg, Jorge Augusto Meira, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte:
The Challenge of Non-Technical Loss Detection using Artificial Intelligence: A Survey. CoRR abs/1606.00626 (2016) - [i4]Patrick O. Glauner, Jorge Augusto Meira, Lautaro Dolberg, Radu State, Franck Bettinger, Yves Rangoni, Diogo Duarte:
Neighborhood Features Help Detecting Electricity Theft in Big Data Sets. CoRR abs/1607.00872 (2016) - [i3]Christian Albert Hammerschmidt, Sicco Verwer, Qin Lin, Radu State:
Interpreting Finite Automata for Sequential Data. CoRR abs/1611.07100 (2016) - 2015
- [j32]Samuel Marchal, Anil Mehta, Vijay K. Gurbani, Radu State, Tin Kam Ho, Flavia Sancier-Barbosa:
Mitigating Mimicry Attacks Against the Session Initiation Protocol. IEEE Trans. Netw. Serv. Manag. 12(3): 467-482 (2015) - [c99]Salvatore Signorello, Radu State, Olivier Festor:
Exploring IoT Protocols Through the Information-Centric Networking's Lens. AIMS 2015: 56-60 - [c98]Vijay K. Gurbani, Angelo Migliosi, Radu State, Charles Payette, Bruce Cilli, Thomas Engel:
A characterization of short-video and distributed hot-spot activity in Instagram. IPTComm 2015: 28-34 - [c97]Miroslaw Kantor, Radu State, Thomas Engel, Gaston Ormazabal:
A policy-based per-flow mobility management system design. IPTComm 2015: 35-42 - 2014
- [j31]Carol Davids, Gaston Ormazabal, Radu State:
Real-time communications: topics for research and methods of collaboration. Comput. Commun. Rev. 44(3): 112-115 (2014) - [j30]Samuel Marchal, Jérôme François, Radu State, Thomas Engel:
PhishStorm: Detecting Phishing With Streaming Analytics. IEEE Trans. Netw. Serv. Manag. 11(4): 458-471 (2014) - [j29]Jeff Seibert, Sheila Becker, Cristina Nita-Rotaru, Radu State:
Newton: Securing Virtual Coordinates by Enforcing Physical Laws. IEEE/ACM Trans. Netw. 22(3): 798-811 (2014) - [c96]Samuel Marchal, Xiuyan Jiang, Radu State, Thomas Engel:
A Big Data Architecture for Large Scale Security Monitoring. BigData Congress 2014: 56-63 - [c95]Samuel Marchal, Jérôme François, Radu State, Thomas Engel:
PhishScore: Hacking phishers' minds. CNSM 2014: 46-54 - [c94]Vijay K. Gurbani, David Goergen, Radu State, Thomas Engel:
Making historical connections: Building Application Layer Traffic Optimization (ALTO) network and cost maps from public broadband data. CNSM 2014: 193-198 - [c93]Kevin Allix, Tegawendé F. Bissyandé, Quentin Jérome, Jacques Klein, Radu State, Yves Le Traon:
Large-scale machine learning-based malware detection: confronting the "10-fold cross validation" scheme with reality. CODASPY 2014: 163-166 - [c92]Kevin Allix, Quentin Jérome, Tegawendé F. Bissyandé, Jacques Klein, Radu State, Yves Le Traon:
A Forensic Analysis of Android Malware - How is Malware Written and How it Could Be Detected? COMPSAC 2014: 384-393 - [c91]Stefan Hommes, Radu State, Thomas Engel:
Implications and detection of DoS attacks in OpenFlow-based networks. GLOBECOM 2014: 537-543 - [c90]Quentin Jérome, Kevin Allix, Radu State, Thomas Engel:
Using opcode-sequences to detect malicious Android applications. ICC 2014: 914-919 - [c89]David Goergen, Angelo Migliosi, Vijay K. Gurbani, Radu State, Thomas Engel:
Spatial and temporal analysis of Twitter: a tale of two countries. IPTComm 2014: 5:1-5:6 - [c88]David Goergen, Veena B. Mendiratta, Radu State, Thomas Engel:
Analysis of large call data records with big data. IPTComm 2014: 8:1-8:6 - [c87]