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Showing results 1-50 of 259 << Previous 1 2 3 4 5 6    Next >>

2020
1 Aryan, Ramtin; Yazidi, Anis; Kure, Øivind; Engelstad, Paal E..
A parallel approach for detecting OpenFlow rule anomalies based on a general formalism. Concurrency and Computation 2020 p. -
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2 Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald.
Capacity Enhancement of NOMA‐SWIPT IoT Relay System with Direct Links over Rayleigh Fading Channels. Transactions on Emerging Telecommunications Technologies 2020 p. -
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2019
3 Aryan, Ramtin; Brattensborg, Frode Henriksen; Yazidi, Anis; Engelstad, Paal.
Checking the OpenFlow Rule Installation and Operational Verification. I: 44th Annual IEEE Conference on Local Computer Networks (LCN 2019). IEEE 2019 ISBN 978-1-7281-1028-8. p. 250-253
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4 Aryan, Ramtin; Brattensborg, Frode; Yazidi, Anis; Engelstad, Paal E..
Checking the OpenFlow Rule Installation and Operational Verification. The 44th IEEE Conference on Local Computer Networks (LCN); 2019-10-14 - 2019-10-17
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5 Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis.
Classification of Delay-based TCP Algorithms From Passive Traffic Measurements. I: 2019 IEEE 18th International Symposium on Network Computing and Applications (NCA). IEEE 2019 ISBN 978-1-7281-2522-0. p. -
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6 Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Griwodz, Carsten.
A Deep Learning Approach to Dynamic Passive RTT. I: 2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC). IEEE Press 2019 ISBN 9781728110257. p. 1-10
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7 HaileselassieHagos, Desta; Engelstad, Paal E.; Yazidi, Anis.
Classification of Delay-based TCP Algorithms From Passive Traffic Measurements. ©2019 IEEE; 2019-01-01
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8 Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald.
Performance Analysis of RF Energy Harvesting and Information Transmission based on NOMA with Interfering Signal for IoT Relay Systems. IEEE Sensors Journal 2019 ;Volume 19.(17) p. 7668-7682
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9 Rauniyar, Ashish; Kunwar, Jeevan; Haugerud, Hårek; Yazidi, Anis; Engelstad, Paal E..
Energy Efficient Target Coverage in Wireless Sensor Networks Using Adaptive Learning. I: Distributed Computing for Emerging Smart Networks. Netherlands: Springer Nature 2019 ISBN 978-3-030-40131-3. p. 133-147
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2018
10 Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Øivind.
General TCP State Inference Model From Passive Measurements Using Machine Learning Techniques. IEEE Access 2018 ;Volume 6. p. 28372-28387
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11 Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E..
An Incremental Approach for Swift OpenFlow Anomaly Detection. Conference on Local Computer Networks 2018 p. -
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12 Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E..
An Incremental Approach for Swift OpenFlow Anomaly Detection. 2018 IEEE 43rd Conference on Local Computer Networks (LCN); 2018-10-01 - 2018-10-04
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13 Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Oivind.
A machine learning approach to TCP state monitoring from passive measurements. IFIP Wireless Days 2018 ;Volume 2018-April. p. 164-171
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14 Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Øivind.
Recurrent Neural Network-Based Prediction of TCP Transmission States from Passive Measurements. I: 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA). IEEE conference proceedings 2018 ISBN 978-1-5386-7659-2. p. 1-10
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15 Hagos, Desta Haileselassie; Engelstad, Paal E.; Yazidi, Anis; Kure, Øivind.
Towards a Robust and Scalable TCP Flavors Prediction Model from Passive Traffic. I: Proceedings of 27th International Conference on Computer Communication Networks (ICCCN), 2018. Hangzhou, China. IEEE Communications Society 2018 ISBN 978-1-5386-5156-8. p. 1-11
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16 Kure, Endre Hegland; Engelstad, Paal E.; Maharjan, Sabita; Gjessing, Stein; Zhang, Xing; Zhang, Yan.
Energy Usage Forecasting for LTE: A Network-Wide Traffic Measurements Study. I: 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). IEEE Press 2018 ISBN 978-1-5386-4727-1. p. -
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17 Kure, Endre Hegland; Engelstad, Paal E.; Maharjan, Sabita; Gjessing, Stein; Zhang, Yan.
Distributed Uplink Offloading for IoT in 5G Heterogeneous Networks under Private Information Constraints. IEEE Internet of Things Journal 2018 ;Volume 6.(4) p. 6151-6164
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18 Rauniyar, Ashish; Engelstad, Paal E.; Moen, Hans Jonas Fossum.
A New Distributed Localization Algorithm Using Social Learning Based Particle Swarm Optimization for Internet of Things. IEEE Vehicular Technology Conference (VTC) Proceedings 2018 ;Volume 2018-June. p. 1-7
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19 Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald.
RF energy harvesting and information transmission based on NOMA for wireless powered IoT relay systems. Sensors 2018 ;Volume 18:3254.(10) p. 1-22
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20 Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald.
RF Energy Harvesting and Information Transmission based on Power Splitting and NOMA for IoT Relay Systems. I: 2018 IEEE 17th International Symposium on Network Computing and Applications (NCA). IEEE conference proceedings 2018 ISBN 978-1-5386-7659-2. p. -
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21 Rauniyar, Ashish; Engelstad, Paal E.; Østerbø, Olav Norvald.
RF Energy Harvesting and Information Transmission in IoT Relay Systems based on Time Switching and NOMA. I: 2018 28th International Telecommunication Networks and Applications Conference (ITNAC). IEEE conference proceedings 2018 ISBN 978-1-5386-7177-1. p. 168-174
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2017
22 Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E.; Kure, Øivind.
A General Formalism for Defining and Detecting OpenFlow Rule Anomalies. I: 42nd IEEE Conference on Local Computer Networks. IEEE conference proceedings 2017 ISBN 978-1-5090-6523-3. p. 426-434
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23 Aryan, Ramtin; Yazidi, Anis; Engelstad, Paal E.; Kure, Øivind.
A General Formalism for Defining and Detecting OpenFlow Rule Anomalies. 2017 IEEE 42nd Conference on Local Computer Networks; 2017-10-09 - 2017-10-12
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24 Do, van Thanh; Engelstad, Paal E.; Feng, Boning; Do, Van Thuan.
A near real time SMS Grey Traffic detection. 6th International Conference on Software and Computer Applications; 2017-02-26 - 2017-02-28
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25 Do, van Thanh; Engelstad, Paal E.; Feng, Boning; Do, Van Thuan.
A near real time SMS Grey Traffic detection. I: Proceedings of 2017 6th International Conference on Software and Computer Applications (ICSCA 2017) February 26-28, 2017 Bangkok, Thailand. Association for Computing Machinery (ACM) 2017 ISBN 978-1-4503-4857-7. p. 244-249
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26 Do, Van Thuan; Engelstad, Paal E.; Feng, Boning; Do, van Thanh.
Detection of DNS tunneling in mobile networks using machine learning. Lecture Notes in Electrical Engineering 2017 ;Volume 424. p. 221-230
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27 Hagos, Desta Haileselassie; Yazidi, Anis; Kure, Øivind; Engelstad, Paal E..
Enhancing security attacks analysis using regularized machine learning techniques. Advanced Information Networking and Applications 2017 p. 909-918
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28 Hammer, Hugo Lewi; Yazidi, Anis; Bai, Aleksander; Engelstad, Paal E..
Improving Classification of Tweets Using Linguistic Information from a Large External Corpus. I: Industrial Networks and Intelligent Systems. Springer 2017 ISBN 978-3-319-52568-6. p. 122-134
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29 Kongsgård, Kyrre Wahl; Nordbotten, Nils Agne; Engelstad, Paal E.; Mancini, Federico.
Data Loss Prevention for Cross-Domain Instant Messaging. IEEE Symposium Series on Computational Intelligence; 2017-11-27 - 2017-12-01
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30 Kongsgård, Kyrre Wahl; Nordbotten, Nils Agne; Mancini, Federico; Engelstad, Paal E..
An Internal/Insider Threat Score for Data Loss Prevention and Detection. Proceedings of the 3rd ACM on International Workshop on Security And Privacy Analytics.; 2017-03-22 - 2017-03-24
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31 Kongsgård, Kyrre Wahl; Nordbotten, Nils Agne; Mancini, Federico; Haakseth, Raymond; Engelstad, Paal E..
Data Leakage Prevention for Secure Cross-Domain Information Exchange. IEEE Communications Magazine 2017 ;Volume 55.(10) p. 37-43
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32 Van Thuan, Do; Engelstad, Paal E.; Feng, Boning; Do, van Thanh.
Detection of DNS tunneling in mobile networks using machine learning. International Conference on Information Science and Applications 2017 ICISA 2017; 2017-03-20 - 2017-03-23
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2016
33 Do, Van Thuan; Engelstad, Paal E.; Boning, Feng; Do, van Thanh.
Strengthening mobile network security using machine learning. 13th International Conference on Mobile Web and Intelligent Information Systems; 2016-08-22 - 2016-08-24
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34 Do, Van Thuan; Engelstad, Paal E.; Feng, Boning; Do, van Thanh.
Strengthening mobile network security using machine learning. I: Mobile Web and Intelligent Information Systems 13th International Conference, MobiWIS 2016 Vienna, Austria, August 22-24, 2016 Proceedings. Springer 2016 ISBN 978-3-319-44214-3. p. 173-183
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35 Engelstad, Paal E.; Hammer, Hugo Lewi; Kongsgård, Kyrre Wahl; Yazidi, Anis; Nordbotten, Nils Agne; Bai, Aleksander.
Automatic security classification with Lasso. Lecture Notes in Computer Science (LNCS) 2016 ;Volume 9503. p. 399-410
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36 Hammer, Hugo Lewi; Yazidi, Anis; Bai, Aleksander; Engelstad, Paal E..
Improving classification of tweets using word-word co-occurrence information from a large external corpus. I: Proceedings of the 31st Annual ACM Symposium on Applied Computing (SAC '16). Association for Computing Machinery (ACM) 2016 ISBN 978-1-4503-3739-7. p. 1174-1177
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37 Kongsgård, Kyrre Wahl; Nordbotten, Nils Agne; Mancini, Federico; Engelstad, Paal E..
Data loss prevention based on text classification in controlled environments. Lecture Notes in Computer Science (LNCS) 2016 ;Volume 10063 LNCS. p. 131-150
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38 Pham, Hai Ngoc; Zhang, Yan; Skeie, Tor; Engelstad, Paal E.; Eliassen, Frank.
Joint Energy-Efficient Cooperative Spectrum Sensing and Power Allocation in Cognitive Machine-to-Machine Communications. I: Proceedings of the 2016 International Wireless Communications and Mobile Computing Conference (IWCMC 2016). IEEE 2016 ISBN 978-1-5090-0304-4. p. -
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39 Rauniyar, Ashish; Engelstad, Paal E.; Feng, Boning; Do, van Thanh.
Crowdsourcing-based Disaster Management using Fog Computing in Internet of Things Paradigm. I: 2016 IEEE 2nd International Conference on Collaboration and Internet Computing (CIC). IEEE 2016 ISBN 978-1-5090-4607-2. p. 490-494
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40 Yazidi, Anis; Hammer, Hugo Lewi; Bai, Aleksander; Engelstad, Paal E..
On the Feasibility of Machine Learning as a Tool for Automatic Security Classification: A Position Paper. I: 2016 International Conference on Computing, Networking and Communications, ICNC 2016. IEEE 2016 ISBN 978-1-4673-8579-4. p. -6
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2015
41 Bratterud, Alfred; Walla, Alf-André; Haugerud, Hårek; Engelstad, Paal E.; Begnum, Kyrre.
IncludeOS: A minimal, resource efficient unikernel for cloud services. IEEE International Conference on Cloud Computing Technology and Science 2015 p. 250-257
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42 Engelstad, Paal E..
On the Trade-Off Between Multi-Level Security Classification Accuracy and Training Time. I: Third International Conference on Artificial Intelligence, Modelling and Simulation. IEEE 2015 ISBN 978-1-4673-8675-3. p. 349-355
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43 Engelstad, Paal E..
On the usability of clustering for topic-oriented multi-level security models. I: 9th IEEE European modelling symposium on Mathematical Modelling and Computer Simulation (EMS), Proceedings. IEEE 2015 ISBN 978-1-5090-0206-1. p. 14-20
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44 Engelstad, Paal E..
Security Challenges with Cross-Domain Information Exchange: Integrity and Guessing Attacks. MILCOM IEEE Military Communications Conference 2015 p. 1596-1605
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45 Engelstad, Paal E.; Hammer, Hugo Lewi; Yazidi, Anis; Bai, Aleksander.
Advanced Classification Lists (Dirty Word Lists) for Automatic Security Classification. International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC); 2015-09-17 - 2015-09-19
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46 Engelstad, Paal E.; Hammer, Hugo Lewi; Yazidi, Anis; Bai, Aleksander.
Advanced Classification Lists (Dirty Word Lists) for Automatic Security Classification. I: Proceedings of the 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE 2015 ISBN 978-1-4673-9199-3. p. 44-53
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47 Engelstad, Paal E.; Hammer, Hugo Lewi; Yazidi, Anis; Bai, Aleksander.
Analysis of Time-Dependencies in Automatic Security Classification. International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC); 2015-09-17 - 2015-09-19
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48 Engelstad, Paal E.; Hammer, Hugo Lewi; Yazidi, Anis; Bai, Aleksander.
Analysis of Time-Dependencies in Automatic Security Classification. I: Proceedings of the 2015 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE 2015 ISBN 978-1-4673-9199-3. p. 54-61
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49 Hammer, Hugo Lewi; Kongsgård, Kyrre Wahl; Bai, Aleksander; Yazidi, Anis; Nordbotten, Nils Agne; Engelstad, Paal E..
Automatic Security Classification by Machine Learning for Cross-Domain Information Exchange. MILCOM IEEE Military Communications Conference 2015 p. 1590-1595
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50 Hammer, Hugo Lewi; Yazidi, Anis; Bai, Aleksander; Engelstad, Paal E..
Building domain specific sentiment lexicons combining information from many sentiment lexicons and a domain specific corpus. 5th IFIP TC 5 International Conference, CIIA 2015; 2015-05-20 - 2015-05-21
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