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Bremser, ChemElectroChem (2021) 2155–2168.","bibtex":"@article{Engelkemeier_Sun_Voswinkel_Grydin_Schaper_Bremser_2021, title={Zinc Anodizing: Structural Diversity of Anodic Zinc Oxide Controlled by the Type of Electrolyte}, DOI={<a href=\"https://doi.org/10.1002/celc.202100216\">10.1002/celc.202100216</a>}, journal={ChemElectroChem}, author={Engelkemeier, Katja and Sun, Aijia and Voswinkel, Dietrich and Grydin, Olexandr and Schaper, Mirko and Bremser, Wolfgang}, year={2021}, pages={2155–2168} }","mla":"Engelkemeier, Katja, et al. “Zinc Anodizing: Structural Diversity of Anodic Zinc Oxide Controlled by the Type of Electrolyte.” <i>ChemElectroChem</i>, 2021, pp. 2155–68, doi:<a href=\"https://doi.org/10.1002/celc.202100216\">10.1002/celc.202100216</a>."},"page":"2155-2168","publication_status":"published","publication_identifier":{"issn":["2196-0216","2196-0216"]},"title":"Zinc Anodizing: Structural Diversity of Anodic Zinc Oxide Controlled by the Type of Electrolyte","doi":"10.1002/celc.202100216","date_updated":"2022-01-06T06:56:58Z","author":[{"first_name":"Katja","last_name":"Engelkemeier","full_name":"Engelkemeier, Katja"},{"first_name":"Aijia","last_name":"Sun","full_name":"Sun, Aijia"},{"first_name":"Dietrich","last_name":"Voswinkel","full_name":"Voswinkel, Dietrich"},{"last_name":"Grydin","full_name":"Grydin, Olexandr","first_name":"Olexandr"},{"first_name":"Mirko","last_name":"Schaper","full_name":"Schaper, Mirko"},{"last_name":"Bremser","id":"32","full_name":"Bremser, Wolfgang","first_name":"Wolfgang"}],"date_created":"2021-10-04T08:35:07Z","status":"public","type":"journal_article","publication":"ChemElectroChem","language":[{"iso":"eng"}],"_id":"25272","user_id":"32","department":[{"_id":"321"},{"_id":"301"}]},{"has_accepted_license":"1","citation":{"ieee":"H. Afifi, F. J. Sauer, and H. Karl, “Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding,” 2021.","chicago":"Afifi, Haitham, Fabian Jakob Sauer, and Holger Karl. “Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding.” In <i>2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21)</i>. Hyderabad, India, 2021.","ama":"Afifi H, Sauer FJ, Karl H. Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding. In: <i>2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21)</i>. ; 2021.","apa":"Afifi, H., Sauer, F. J., &#38; Karl, H. (2021). Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding. <i>2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21)</i>.","mla":"Afifi, Haitham, et al. “Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding.” <i>2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21)</i>, 2021.","short":"H. Afifi, F.J. Sauer, H. Karl, in: 2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21), Hyderabad, India, 2021.","bibtex":"@inproceedings{Afifi_Sauer_Karl_2021, place={Hyderabad, India}, title={Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding}, booktitle={2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS’21)}, author={Afifi, Haitham and Sauer, Fabian Jakob and Karl, Holger}, year={2021} }"},"place":"Hyderabad, India","year":"2021","date_created":"2021-10-04T10:42:20Z","author":[{"first_name":"Haitham","last_name":"Afifi","id":"65718","full_name":"Afifi, Haitham"},{"first_name":"Fabian Jakob","last_name":"Sauer","full_name":"Sauer, Fabian Jakob"},{"id":"126","full_name":"Karl, Holger","last_name":"Karl","first_name":"Holger"}],"date_updated":"2022-01-06T06:56:58Z","title":"Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding","publication":"2021 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) (ANTS'21)","type":"conference","status":"public","file":[{"relation":"main_file","success":1,"content_type":"application/pdf","file_id":"25279","access_level":"closed","file_name":"Preprint___Reinforcement_Learning_for_Dynamic_Resource_Allocation_in_Wireless_Networks.pdf","file_size":534737,"date_created":"2021-10-04T10:43:19Z","creator":"hafifi","date_updated":"2021-10-04T10:43:19Z"}],"abstract":[{"lang":"eng","text":"Using Service Function Chaining (SFC) in wireless networks became popular in many domains like networking and multimedia. It relies on allocating network resources to incoming SFCs requests, via a Virtual Network Embedding (VNE) algorithm, so that it optimizes the performance of the SFC. When the load of incoming requests -- competing for the limited network resources -- increases, it becomes challenging to decide which requests should be admitted and which one should be rejected. In this work, we propose a deep Reinforcement learning (RL) solution that can learn the admission policy for different dependencies, such as the service lifetime and the priority of incoming requests. We compare the deep RL solution to a first-come-first-serve baseline that admits a request whenever there are available resources. We show that deep RL outperforms the baseline and provides higher acceptance rate with low rejections even when there are enough resources."}],"user_id":"65718","_id":"25278","project":[{"name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke","_id":"27"}],"file_date_updated":"2021-10-04T10:43:19Z","language":[{"iso":"eng"}],"keyword":["reinforcement learning","admission control","wireless sensor networks"],"ddc":["000"]},{"publication":"14. ITG Conference on Speech Communication (ITG 2021)","type":"conference","status":"public","file":[{"file_size":283616,"access_level":"closed","file_name":"ITG_2021_paper_26 (3).pdf","file_id":"25282","date_updated":"2021-10-04T10:58:07Z","creator":"hafifi","date_created":"2021-10-04T10:58:07Z","success":1,"relation":"main_file","content_type":"application/pdf"}],"abstract":[{"lang":"eng","text":"Wireless Acoustic Sensor Networks (WASNs) have a wide range of audio signal processing applications. Due to the spatial diversity of the microphone and their relative position to the acoustic source, not all microphones are equally useful for subsequent audio signal processing tasks, nor do they all have the same wireless data transmission rates. Hence, a central task in WASNs is to balance a microphone’s estimated acoustic utility against its transmission delay, selecting a best-possible subset of microphones to record audio signals.\r\n\r\nIn this work, we use reinforcement learning to decide if a microphone should be used or switched off to maximize the acoustic quality at low transmission delays, while minimizing switching frequency. In experiments with moving sources in a simulated acoustic environment, our method outperforms naive baseline comparisons"}],"user_id":"65718","_id":"25281","project":[{"_id":"27","name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke"}],"file_date_updated":"2021-10-04T10:58:07Z","language":[{"iso":"eng"}],"keyword":["microphone utility","microphone selection","wireless acoustic sensor network","network delay","reinforcement learning"],"ddc":["620"],"has_accepted_license":"1","citation":{"chicago":"Afifi, Haitham, Michael Guenther, Andreas Brendel, Holger Karl, and Walter Kellermann. “Reinforcement Learning-Based Microphone Selection in Wireless Acoustic Sensor Networks Considering Network and Acoustic Utilities.” In <i>14. ITG Conference on Speech Communication (ITG 2021)</i>, 2021.","ieee":"H. Afifi, M. Guenther, A. Brendel, H. Karl, and W. Kellermann, “Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities,” 2021.","ama":"Afifi H, Guenther M, Brendel A, Karl H, Kellermann W. Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities. In: <i>14. ITG Conference on Speech Communication (ITG 2021)</i>. ; 2021.","bibtex":"@inproceedings{Afifi_Guenther_Brendel_Karl_Kellermann_2021, title={Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities}, booktitle={14. ITG Conference on Speech Communication (ITG 2021)}, author={Afifi, Haitham and Guenther, Michael and Brendel, Andreas and Karl, Holger and Kellermann, Walter}, year={2021} }","mla":"Afifi, Haitham, et al. “Reinforcement Learning-Based Microphone Selection in Wireless Acoustic Sensor Networks Considering Network and Acoustic Utilities.” <i>14. ITG Conference on Speech Communication (ITG 2021)</i>, 2021.","short":"H. Afifi, M. Guenther, A. Brendel, H. Karl, W. Kellermann, in: 14. ITG Conference on Speech Communication (ITG 2021), 2021.","apa":"Afifi, H., Guenther, M., Brendel, A., Karl, H., &#38; Kellermann, W. (2021). Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities. <i>14. ITG Conference on Speech Communication (ITG 2021)</i>."},"year":"2021","date_created":"2021-10-04T10:59:50Z","author":[{"first_name":"Haitham","last_name":"Afifi","full_name":"Afifi, Haitham","id":"65718"},{"full_name":"Guenther, Michael","last_name":"Guenther","first_name":"Michael"},{"full_name":"Brendel, Andreas","last_name":"Brendel","first_name":"Andreas"},{"last_name":"Karl","full_name":"Karl, Holger","id":"126","first_name":"Holger"},{"full_name":"Kellermann, Walter","last_name":"Kellermann","first_name":"Walter"}],"date_updated":"2022-01-06T06:56:59Z","title":"Reinforcement Learning-based Microphone Selection in Wireless Acoustic Sensor Networks considering Network and Acoustic Utilities"},{"doi":"10.1109/icassp39728.2021.9414528","title":"Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks","author":[{"full_name":"Gunther, Michael","last_name":"Gunther","first_name":"Michael"},{"first_name":"Haitham","full_name":"Afifi, Haitham","id":"65718","last_name":"Afifi"},{"last_name":"Brendel","full_name":"Brendel, Andreas","first_name":"Andreas"},{"first_name":"Holger","last_name":"Karl","id":"126","full_name":"Karl, Holger"},{"first_name":"Walter","last_name":"Kellermann","full_name":"Kellermann, Walter"}],"date_created":"2021-10-04T12:28:40Z","date_updated":"2022-01-06T06:56:59Z","citation":{"bibtex":"@inproceedings{Gunther_Afifi_Brendel_Karl_Kellermann_2021, title={Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks}, DOI={<a href=\"https://doi.org/10.1109/icassp39728.2021.9414528\">10.1109/icassp39728.2021.9414528</a>}, booktitle={ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, author={Gunther, Michael and Afifi, Haitham and Brendel, Andreas and Karl, Holger and Kellermann, Walter}, year={2021} }","short":"M. Gunther, H. Afifi, A. Brendel, H. Karl, W. Kellermann, in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021.","mla":"Gunther, Michael, et al. “Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks.” <i>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>, 2021, doi:<a href=\"https://doi.org/10.1109/icassp39728.2021.9414528\">10.1109/icassp39728.2021.9414528</a>.","apa":"Gunther, M., Afifi, H., Brendel, A., Karl, H., &#38; Kellermann, W. (2021). Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks. <i>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>. <a href=\"https://doi.org/10.1109/icassp39728.2021.9414528\">https://doi.org/10.1109/icassp39728.2021.9414528</a>","ama":"Gunther M, Afifi H, Brendel A, Karl H, Kellermann W. Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks. In: <i>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>. ; 2021. doi:<a href=\"https://doi.org/10.1109/icassp39728.2021.9414528\">10.1109/icassp39728.2021.9414528</a>","ieee":"M. Gunther, H. Afifi, A. Brendel, H. Karl, and W. Kellermann, “Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks,” 2021, doi: <a href=\"https://doi.org/10.1109/icassp39728.2021.9414528\">10.1109/icassp39728.2021.9414528</a>.","chicago":"Gunther, Michael, Haitham Afifi, Andreas Brendel, Holger Karl, and Walter Kellermann. “Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks.” In <i>ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>, 2021. <a href=\"https://doi.org/10.1109/icassp39728.2021.9414528\">https://doi.org/10.1109/icassp39728.2021.9414528</a>."},"year":"2021","publication_status":"published","language":[{"iso":"eng"}],"user_id":"65718","_id":"25293","project":[{"_id":"27","name":"Akustische Sensornetzwerke - Teilprojekt \"Verteilte akustische Signalverarbeitung über funkbasierte Sensornetzwerke"}],"status":"public","publication":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","type":"conference"},{"_id":"25331","user_id":"83504","department":[{"_id":"632"}],"language":[{"iso":"eng"}],"type":"conference","publication":"30th {USENIX} Security Symposium ({USENIX} Security 21)","status":"public","date_updated":"2022-01-06T06:57:01Z","publisher":"{USENIX} Association","date_created":"2021-10-04T18:53:47Z","author":[{"full_name":"Brinkmann, Marcus","last_name":"Brinkmann","first_name":"Marcus"},{"first_name":"Christian","last_name":"Dresen","full_name":"Dresen, Christian"},{"last_name":"Merget","full_name":"Merget, Robert","first_name":"Robert"},{"first_name":"Damian","full_name":"Poddebniak, Damian","last_name":"Poddebniak"},{"first_name":"Jens","last_name":"Müller","full_name":"Müller, Jens"},{"first_name":"Juraj","last_name":"Somorovsky","orcid":"0000-0002-3593-7720","id":"83504","full_name":"Somorovsky, Juraj"},{"first_name":"Jörg","last_name":"Schwenk","full_name":"Schwenk, Jörg"},{"full_name":"Schinzel, Sebastian","last_name":"Schinzel","first_name":"Sebastian"}],"title":"ALPACA: Application Layer Protocol Confusion - Analyzing and Mitigating Cracks in TLS Authentication","publication_identifier":{"isbn":["978-1-939133-24-3"]},"year":"2021","citation":{"mla":"Brinkmann, Marcus, et al. “ALPACA: Application Layer Protocol Confusion - Analyzing and Mitigating Cracks in TLS Authentication.” <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>, {USENIX} Association, 2021, pp. 4293–310.","short":"M. Brinkmann, C. Dresen, R. Merget, D. Poddebniak, J. Müller, J. Somorovsky, J. Schwenk, S. Schinzel, in: 30th {USENIX} Security Symposium ({USENIX} Security 21), {USENIX} Association, 2021, pp. 4293–4310.","bibtex":"@inproceedings{Brinkmann_Dresen_Merget_Poddebniak_Müller_Somorovsky_Schwenk_Schinzel_2021, title={ALPACA: Application Layer Protocol Confusion - Analyzing and Mitigating Cracks in TLS Authentication}, booktitle={30th {USENIX} Security Symposium ({USENIX} Security 21)}, publisher={{USENIX} Association}, author={Brinkmann, Marcus and Dresen, Christian and Merget, Robert and Poddebniak, Damian and Müller, Jens and Somorovsky, Juraj and Schwenk, Jörg and Schinzel, Sebastian}, year={2021}, pages={4293–4310} }","apa":"Brinkmann, M., Dresen, C., Merget, R., Poddebniak, D., Müller, J., Somorovsky, J., Schwenk, J., &#38; Schinzel, S. (2021). ALPACA: Application Layer Protocol Confusion - Analyzing and Mitigating Cracks in TLS Authentication. <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>, 4293–4310.","ama":"Brinkmann M, Dresen C, Merget R, et al. ALPACA: Application Layer Protocol Confusion - Analyzing and Mitigating Cracks in TLS Authentication. In: <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>. {USENIX} Association; 2021:4293-4310.","ieee":"M. Brinkmann <i>et al.</i>, “ALPACA: Application Layer Protocol Confusion - Analyzing and Mitigating Cracks in TLS Authentication,” in <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>, 2021, pp. 4293–4310.","chicago":"Brinkmann, Marcus, Christian Dresen, Robert Merget, Damian Poddebniak, Jens Müller, Juraj Somorovsky, Jörg Schwenk, and Sebastian Schinzel. “ALPACA: Application Layer Protocol Confusion - Analyzing and Mitigating Cracks in TLS Authentication.” In <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>, 4293–4310. {USENIX} Association, 2021."},"page":"4293-4310"},{"title":"Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E)","publisher":"{USENIX} Association","date_updated":"2022-01-06T06:57:01Z","author":[{"first_name":"Robert","full_name":"Merget, Robert","last_name":"Merget"},{"full_name":"Brinkmann, Marcus","last_name":"Brinkmann","first_name":"Marcus"},{"full_name":"Aviram, Nimrod","last_name":"Aviram","first_name":"Nimrod"},{"first_name":"Juraj","orcid":"0000-0002-3593-7720","last_name":"Somorovsky","full_name":"Somorovsky, Juraj","id":"83504"},{"first_name":"Johannes","last_name":"Mittmann","full_name":"Mittmann, Johannes"},{"first_name":"Jörg","full_name":"Schwenk, Jörg","last_name":"Schwenk"}],"date_created":"2021-10-04T18:55:36Z","year":"2021","page":"213-230","citation":{"ama":"Merget R, Brinkmann M, Aviram N, Somorovsky J, Mittmann J, Schwenk J. Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E). In: <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>. {USENIX} Association; 2021:213-230.","chicago":"Merget, Robert, Marcus Brinkmann, Nimrod Aviram, Juraj Somorovsky, Johannes Mittmann, and Jörg Schwenk. “Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E).” In <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>, 213–30. {USENIX} Association, 2021.","ieee":"R. Merget, M. Brinkmann, N. Aviram, J. Somorovsky, J. Mittmann, and J. Schwenk, “Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E),” in <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>, 2021, pp. 213–230.","mla":"Merget, Robert, et al. “Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E).” <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>, {USENIX} Association, 2021, pp. 213–30.","bibtex":"@inproceedings{Merget_Brinkmann_Aviram_Somorovsky_Mittmann_Schwenk_2021, title={Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E)}, booktitle={30th {USENIX} Security Symposium ({USENIX} Security 21)}, publisher={{USENIX} Association}, author={Merget, Robert and Brinkmann, Marcus and Aviram, Nimrod and Somorovsky, Juraj and Mittmann, Johannes and Schwenk, Jörg}, year={2021}, pages={213–230} }","short":"R. Merget, M. Brinkmann, N. Aviram, J. Somorovsky, J. Mittmann, J. Schwenk, in: 30th {USENIX} Security Symposium ({USENIX} Security 21), {USENIX} Association, 2021, pp. 213–230.","apa":"Merget, R., Brinkmann, M., Aviram, N., Somorovsky, J., Mittmann, J., &#38; Schwenk, J. (2021). Raccoon Attack: Finding and Exploiting Most-Significant-Bit-Oracles in TLS-DH(E). <i>30th {USENIX} Security Symposium ({USENIX} Security 21)</i>, 213–230."},"publication_identifier":{"isbn":["978-1-939133-24-3"]},"language":[{"iso":"eng"}],"_id":"25332","department":[{"_id":"632"}],"user_id":"83504","status":"public","publication":"30th {USENIX} Security Symposium ({USENIX} Security 21)","type":"conference"}]