This file was created by the TYPO3 extension
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--- Timezone: UTC
Creation date: 2024-11-11
Creation time: 01-54-03
--- Number of references
29
article
2022-henze-tii-prada
Complying with Data Handling Requirements in Cloud Storage Systems
IEEE Transactions on Cloud Computing
2022
9
10
3
1661-1674
In past years, cloud storage systems saw an enormous rise in usage. However, despite their popularity and importance as underlying infrastructure for more complex cloud services, today’s cloud storage systems do not account for compliance with regulatory, organizational, or contractual data handling requirements by design. Since legislation increasingly responds to rising data protection and privacy concerns, complying with data handling requirements becomes a crucial property for cloud storage systems. We present Prada , a practical approach to account for compliance with data handling requirements in key-value based cloud storage systems. To achieve this goal, Prada introduces a transparent data handling layer, which empowers clients to request specific data handling requirements and enables operators of cloud storage systems to comply with them. We implement Prada on top of the distributed database Cassandra and show in our evaluation that complying with data handling requirements in cloud storage systems is practical in real-world cloud deployments as used for microblogging, data sharing in the Internet of Things, and distributed email storage.
https://www.comsys.rwth-aachen.de/fileadmin/papers/2022/2022-henze-tii-prada.pdf
Online
en
2168-7161
10.1109/TCC.2020.3000336
1
MartinHenze
RomanMatzutt
JensHiller
ErikMühmer
Jan HenrikZiegeldorf
Johannesvan der Giet
KlausWehrle
inproceedings
2018-ziegeldorf-shield
SHIELD: A Framework for Efficient and Secure Machine Learning Classification in Constrained Environments
2018
12
1-15
iop,mynedata
https://www.comsys.rwth-aachen.de/fileadmin/papers/2018/2018-ziegeldorf-acsac-shield.pdf
ACM
New York, NY, USA
Proceedings of the 34rd Annual Computer Security Applications Conference
San Juan, Puerto Rico, USA
The 34rd Annual Computer Security Applications Conference (ACSAC 2018)
2018-12-03 - 2018-12-07
English
10.1145/3274694.3274716
1
Jan HenrikZiegeldorf
JanMetzke
KlausWehrle
inproceedings
2018-matzutt-bitcoin-content-countermeasures
Thwarting Unwanted Blockchain Content Insertion
2018
4
17
364-370
Since the introduction of Bitcoin in 2008, blockchain systems have seen an enormous increase in adoption. By providing a persistent, distributed, and append-only ledger, blockchains enable numerous applications such as distributed consensus, robustness against equivocation, and smart contracts. However, recent studies show that blockchain systems such as Bitcoin can be (mis)used to store arbitrary content. This has already been used to store arguably objectionable content on Bitcoin's blockchain. Already single instances of clearly objectionable or even illegal content can put the whole system at risk by making its node operators culpable. To overcome this imminent risk, we survey and discuss the design space of countermeasures against the insertion of such objectionable content. Our analysis shows a wide spectrum of potential countermeasures, which are often combinable for increased efficiency. First, we investigate special-purpose content detectors as an ad hoc mitigation. As they turn out to be easily evadable, we also investigate content-agnostic countermeasures. We find that mandatory minimum fees as well as mitigation of transaction manipulability via identifier commitments significantly raise the bar for inserting harmful content into a blockchain.
Bitcoin,blockchain,security,objectionable content,countermeasure
mynedata,iop
https://www.comsys.rwth-aachen.de/fileadmin/papers/2018/2018-matzutt-blockchain-contents-countermeasures.pdf
https://ieeexplore.ieee.org/document/8360355
IEEE
Proceedings of the First IEEE Workshop on Blockchain Technologies and Applications (BTA), co-located with the IEEE International Conference on Cloud Engineering 2018 (IC2E 2018)
Orlando, Florida, USA
First IEEE Workshop on Blockchain Technologies and Applications (BTA)
2018-04-17
English
978-1-5386-5008-0
10.1109/IC2E.2018.00070
1
RomanMatzutt
MartinHenze
Jan HenrikZiegeldorf
JensHiller
KlausWehrle
article
2016-fgcs-ziegeldorf-bitcoin
Secure and anonymous decentralized Bitcoin mixing
Future Generation Computer Systems
2018
3
80
448-466
Pseudonymity, anonymity, and untraceability
rfc
https://www.comsys.rwth-aachen.de/fileadmin/papers/2018/2018-ziegeldorf-fgcs-bitcoin.pdf
Online
Elsevier
en
0167-739X
10.1016/j.future.2016.05.018
1
Jan HenrikZiegeldorf
RomanMatzutt
MartinHenze
FredGrossmann
KlausWehrle
inproceedings
2018-matzutt-bitcoin-content
A Quantitative Analysis of the Impact of Arbitrary Blockchain Content on Bitcoin
2018
2
26
Blockchains primarily enable credible accounting of digital events, e.g., money transfers in cryptocurrencies. However, beyond this original purpose, blockchains also irrevocably record arbitrary data, ranging from short messages to pictures. This does not come without risk for users as each participant has to locally replicate the complete blockchain, particularly including potentially harmful content. We provide the first systematic analysis of the benefits and threats of arbitrary blockchain content. Our analysis shows that certain content, e.g., illegal pornography, can render the mere possession of a blockchain illegal. Based on these insights, we conduct a thorough quantitative and qualitative analysis of unintended content on Bitcoin's blockchain. Although most data originates from benign extensions to Bitcoin's protocol, our analysis reveals more than 1600 files on the blockchain, over 99% of which are texts or images. Among these files there is clearly objectionable content such as links to child pornography, which is distributed to all Bitcoin participants. With our analysis, we thus highlight the importance for future blockchain designs to address the possibility of unintended data insertion and protect blockchain users accordingly.
mynedata
https://www.comsys.rwth-aachen.de/fileadmin/papers/2018/2018_matzutt_bitcoin-contents_preproceedings-version.pdf
2018-01-07
Online
Springer
Proceedings of the 22nd International Conference on Financial Cryptography and Data Security (FC), Nieuwpoort, Curaçao
Nieuwpoort, Curaçao
Financial Cryptography and Data Security 2018
en
10.1007/978-3-662-58387-6_23
1
RomanMatzutt
JensHiller
MartinHenze
Jan HenrikZiegeldorf
DirkMüllmann
OliverHohlfeld
KlausWehrle
incollection
2017-cps-henze-network
Network Security and Privacy for Cyber-Physical Systems
2017
11
13
25-56
sensorcloud,ipacs
Song, Houbing and Fink, Glenn A. and Jeschke, Sabina
Wiley-IEEE Press
First
2
Security and Privacy in Cyber-Physical Systems: Foundations, Principles and Applications
en
978-1-119-22604-8
10.1002/9781119226079.ch2
1
MartinHenze
JensHiller
RenéHummen
RomanMatzutt
KlausWehrle
Jan HenrikZiegeldorf
inproceedings
2017-henze-mobiquitous-comparison
Privacy-preserving Comparison of Cloud Exposure Induced by Mobile Apps
2017
11
7
543-544
trinics
https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017-henze-mobiquitous-comparison.pdf
Online
ACM
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous) - Poster Session, Melbourne, VIC, Australia
en
978-1-4503-5368-7
10.1145/3144457.3144511
1
MartinHenze
RitsumaInaba
Ina BereniceFink
Jan HenrikZiegeldorf
inproceedings
2017-henze-mobiquitous-cloudanalyzer
CloudAnalyzer: Uncovering the Cloud Usage of Mobile Apps
2017
11
7
262-271
Developers of smartphone apps increasingly rely on cloud services for ready-made functionalities, e.g., to track app usage, to store data, or to integrate social networks. At the same time, mobile apps have access to various private information, ranging from users' contact lists to their precise locations. As a result, app deployment models and data flows have become too complex and entangled for users to understand. We present CloudAnalyzer, a transparency technology that reveals the cloud usage of smartphone apps and hence provides users with the means to reclaim informational self-determination. We apply CloudAnalyzer to study the cloud exposure of 29 volunteers over the course of 19 days. In addition, we analyze the cloud usage of the 5000 most accessed mobile websites as well as 500 popular apps from five different countries. Our results reveal an excessive exposure to cloud services: 90 % of apps use cloud services and 36 % of apps used by volunteers solely communicate with cloud services. Given the information provided by CloudAnalyzer, users can critically review the cloud usage of their apps.
Privacy; Smartphones; Cloud Computing; Traffic Analysis
trinics
https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017-henze-mobiquitous-cloudanalyzer.pdf
Online
ACM
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous '17), November 7-10, 2017, Melbourne, VIC, Australia
Melbourne, VIC, Australia
November 7-10, 2017
en
978-1-4503-5368-7
10.1145/3144457.3144471
1
MartinHenze
JanPennekamp
DavidHellmanns
ErikMühmer
Jan HenrikZiegeldorf
ArthurDrichel
KlausWehrle
article
2017-ziegeldorf-bmcmedgenomics-bloom
BLOOM: BLoom filter based Oblivious Outsourced Matchings
BMC Medical Genomics
2017
7
26
10
Suppl 2
29-42
Whole genome sequencing has become fast, accurate, and cheap, paving the way towards the large-scale collection and processing of human genome data. Unfortunately, this dawning genome era does not only promise tremendous advances in biomedical research but also causes unprecedented privacy risks for the many. Handling storage and processing of large genome datasets through cloud services greatly aggravates these concerns. Current research efforts thus investigate the use of strong cryptographic methods and protocols to implement privacy-preserving genomic computations. We propose FHE-Bloom and PHE-Bloom, two efficient approaches for genetic disease testing using homomorphically encrypted Bloom filters. Both approaches allow the data owner to securely outsource storage and computation to an untrusted cloud. FHE-Bloom is fully secure in the semi-honest model while PHE-Bloom slightly relaxes security guarantees in a trade-off for highly improved performance. We implement and evaluate both approaches on a large dataset of up to 50 patient genomes each with up to 1000000 variations (single nucleotide polymorphisms). For both implementations, overheads scale linearly in the number of patients and variations, while PHE-Bloom is faster by at least three orders of magnitude. For example, testing disease susceptibility of 50 patients with 100000 variations requires only a total of 308.31 s (σ=8.73 s) with our first approach and a mere 0.07 s (σ=0.00 s) with the second. We additionally discuss security guarantees of both approaches and their limitations as well as possible extensions towards more complex query types, e.g., fuzzy or range queries. Both approaches handle practical problem sizes efficiently and are easily parallelized to scale with the elastic resources available in the cloud. The fully homomorphic scheme, FHE-Bloom, realizes a comprehensive outsourcing to the cloud, while the partially homomorphic scheme, PHE-Bloom, trades a slight relaxation of security guarantees against performance improvements by at least three orders of magnitude.
Proceedings of the 5th iDASH Privacy and Security Workshop 2016
Secure outsourcing; Homomorphic encryption; Bloom filters
sscilops; mynedata; rfc
https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017-ziegeldorf-bmcmedgenomics-bloom.pdf
Online
BioMed Central
Chicago, IL, USA
November 11, 2016
en
1755-8794
10.1186/s12920-017-0277-y
1
Jan HenrikZiegeldorf
JanPennekamp
DavidHellmanns
FelixSchwinger
IkeKunze
MartinHenze
JensHiller
RomanMatzutt
KlausWehrle
inproceedings
2017-zimmermann-secon
Resource and Execution Control for Mobile Offloadee Devices
2017
6
12
maki
IEEE
14th IEEE International Conference on Sensing, Communication, and Networking (SECON 2017), San Diego, USA
San Diego, USA
14th IEEE International Conference on Sensing, Communication, and Networking (SECON 2017)
12.06.2017 - 14.06.2017
en
978-1-5090-6599-8
10.1109/SAHCN.2017.7964939
1
TorstenZimmermann
HannoWirtz
Jan HenrikZiegeldorf
ChristianSteinhaus
KlausWehrle
inproceedings
2017-henze-ic2e-prada
Practical Data Compliance for Cloud Storage
2017
4
4
252-258
ssiclops, ipacs
https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017-henze-ic2e-prada.pdf
Online
IEEE
Proceedings of the 2017 IEEE International Conference on Cloud Engineering (IC2E 2017), Vancouver, BC, Canada
en
978-1-5090-5817-4
10.1109/IC2E.2017.32
1
MartinHenze
RomanMatzutt
JensHiller
ErikMühmer
Jan HenrikZiegeldorf
Johannesvan der Giet
KlausWehrle
inproceedings
2017-ziegeldorf-codaspy-priward
Privacy-Preserving HMM Forward Computation
2017
3
22
83-94
mynedata
https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017-ziegeldorf-codaspy-priward.pdf
Online
ACM
Proceedings of the 7th ACM Conference on Data and Application Security and Privacy (CODASPY 2017), Scottsdale, AZ, USA
en
978-1-4503-4523-1
10.1145/3029806.3029816
1
Jan HenrikZiegeldorf
JanMetzke
JanRüth
MartinHenze
KlausWehrle
inproceedings
2017-ziegeldorf-wons-tracemixer
TraceMixer: Privacy-Preserving Crowd-Sensing sans Trusted Third Party
2017
2
21
17-24
mynedata
https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017-ziegeldorf-wons-tracemixer.pdf
Online
IEEE
Proceedings of the 2017 13th Annual Conference on Wireless On-demand Network Systems and Services (WONS), Jackson Hole, WY, USA
en
978-3-901882-88-3
10.1109/WONS.2017.7888771
1
Jan HenrikZiegeldorf
MartinHenze
JensBavendiek
KlausWehrle
inproceedings
2017-matzutt-mynedata
myneData: Towards a Trusted and User-controlled Ecosystem for Sharing Personal Data
2017
1073-1084
Personal user data is collected and processed at large scale by a handful of big providers of Internet services. This is detrimental to users, who often do not understand the privacy implications of this data collection, as well as to small parties interested in gaining insights from this data pool, e.g., research groups or small and middle-sized enterprises. To remedy this situation, we propose a transparent and user-controlled data market in which users can directly and consensually share their personal data with interested parties for monetary compensation. We define a simple model for such an ecosystem and identify pressing challenges arising within this model with respect to the user and data processor demands, legal obligations, and technological limits. We propose myneData as a conceptual architecture for a trusted online platform to overcome these challenges. Our work provides an initial investigation of the resulting myneData ecosystem as a foundation to subsequently realize our envisioned data market via the myneData platform.
Presentation slides are in German
Personal User Data, Personal Information Management, Data Protection Laws, Privacy Enhancing Technologies, Platform Design, Profiling
mynedata_show
https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017-matzutt-informatik-mynedata.pdf
https://www.comsys.rwth-aachen.de/fileadmin/misc/mynedata/talks/2017-matzutt-informatik-mynedata-presentation.pdf
Presentation slides
Eibl, Maximilian and Gaedke, Martin
Gesellschaft für Informatik, Bonn
INFORMATIK 2017
Chemnitz
INFORMATIK 2017
2017-09-28
English
978-3-88579-669-5
1617-5468
10.18420/in2017_109
1
RomanMatzutt
DirkMüllmann
Eva-MariaZeissig
ChristianeHorst
KaiKasugai
SeanLidynia
SimonWieninger
Jan HenrikZiegeldorf
GerhardGudergan
IndraSpiecker gen. Döhmann
KlausWehrle
MartinaZiefle
phdthesis
2017-ziegeldorf-phdthesis
Designing Digital Services with Cryptographic Guarantees for Data Security and Privacy
2017
RWTH Aachen University
Jan HenrikZiegeldorf
inproceedings
2016-henze-wpes-cppl
CPPL: Compact Privacy Policy Language
2016
10
24
99-110
ssiclops
https://www.comsys.rwth-aachen.de/fileadmin/papers/2016/2016-henze-wpes-cppl.pdf
Online
ACM
Proceedings of the 15th Workshop on Privacy in the Electronic Society (WPES), co-located with the 23rd ACM Conference on Computer and Communications Security (CCS), Vienna, Austria
en
978-1-4503-4569-9
10.1145/2994620.2994627
1
MartinHenze
JensHiller
SaschaSchmerling
Jan HenrikZiegeldorf
KlausWehrle
inproceedings
2016-matzutt-ccs-bitcoin
POSTER: I Don't Want That Content! On the Risks of Exploiting Bitcoin's Blockchain as a Content Store
2016
10
24
1769-1771
mynedata
/fileadmin/papers/2016/2016-matzutt-ccs-blockchaincontent.pdf
Online
ACM
Proceedings of the 23rd ACM Conference on Computer and Communications Security (CCS), Vienna, Austria
en
978-1-4503-4139-4
10.1145/2976749.2989059
1
RomanMatzutt
OliverHohlfeld
MartinHenze
RobinRawiel
Jan HenrikZiegeldorf
KlausWehrle
inproceedings
2015-ziegeldorf-cans-boma
Bandwidth-optimized Secure Two-Party Computation of Minima
2015
12
8
9476
197-213
/fileadmin/papers/2015/2015-ziegeldorf-cans-boma.pdf
Online
Springer
Lecture Notes in Computer Science
14th International Conference on Cryptology and Network Security (CANS 2015), Marrakesh, Morocco
en
978-3-319-26822-4
10.1007/978-3-319-26823-1_14
1
Jan HenrikZiegeldorf
JensHiller
MartinHenze
HannoWirtz
KlausWehrle
inproceedings
2015-ziegeldorf-dpm-comparison
Comparison-based Privacy: Nudging Privacy in Social Media (Position Paper)
2015
9
22
9481
226-234
fileadmin/papers/2015/2015-ziegeldorf-dpm-cbp.pdf
Online
Springer
Lecture Notes in Computer Science
The 10th DPM International Workshop on Data Privacy Management, Vienna, Austria
en
978-3-319-29882-5
10.1007/978-3-319-29883-2_15
1
Jan HenrikZiegeldorf
MartinHenze
RenéHummen
KlausWehrle
inproceedings
2015-ahfe-kowalewski-facebook
Like us on Facebook! - Analyzing user preferences regarding privacy settings in Germany
Procedia Manufacturing
2015
7
3
815--822
Elsevier
The 6th International Conference on Applied Humand Factors and Ergonomics (AHFE 2015), Las Vegas, NV, USA
en
2351-9789
10.1016/j.promfg.2015.07.336
1
SylviaKowalewski
MartinaZiefle
Jan HenrikZiegeldorf
KlausWehrle
inproceedings
2015-ziegeldorf-iwpe-comparison
Choose Wisely: A Comparison of Secure Two-Party Computation Frameworks
2015
5
21
198-205
https://www.comsys.rwth-aachen.de/fileadmin/papers/2015/2015-ziegeldorf-iwpe-choose.pdf
Online
IEEE
2015 International Workshop on Privacy Engineering (IWPE'15), part of 2015 IEEE Security and Privacy Workshops (SPW 2015), San Jose, CA, USA
en
10.1109/SPW.2015.9
1
Jan HenrikZiegeldorf
JanMetzke
MartinHenze
KlausWehrle
inproceedings
2014-ziegeldorf-codaspy-coinparty
CoinParty: Secure Multi-Party Mixing of Bitcoins
2015
3
2
rfc
https://www.comsys.rwth-aachen.de/fileadmin/papers/2015/2015-ziegeldorf-codaspy-coinparty.pdf
Online
ACM
The Fifth ACM Conference on Data and Application Security and Privacy (CODASPY 2015), San Antonio, TX, USA
San Antonio, TX, USA
The Fifth ACM Conference on Data and Application Security and Privacy (CODASPY 2015)
en
978-1-4503-3191-3
10.1145/2699026.2699100
1
Jan HenrikZiegeldorf
FredGrossmann
MartinHenze
NicolasInden
KlausWehrle
poster
2014-wisec-ziegeldorf-ipin
POSTER: Privacy-preserving Indoor Localization
2014
7
23
rfc
https://www.comsys.rwth-aachen.de/fileadmin/papers/2014/2014-ziegeldorf-poster-wisec.pdf
7th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec '14) (Poster)
en
10.13140/2.1.2847.4886
1
Jan HenrikZiegeldorf
NicolaiViol
MartinHenze
KlausWehrle
inproceedings
2013-icnp-hummen-tailoring
Tailoring End-to-End IP Security Protocols to the Internet of Things
2013
10
7
1-10
iotsec
https://www.comsys.rwth-aachen.de/fileadmin/papers/2013/2013-hummen-tailoring.pdf
Online
IEEE
In Proceedings of the 21st IEEE International Conference on Network Protocols (ICNP 2013), Göttingen, Germany
Göttingen, Germany
21st IEEE International Conference on Network Protocols (ICNP 2013)
7-10 Oct. 2013
en
978-1-4799-1270-4
10.1109/ICNP.2013.6733571
1
RenéHummen
HannoWirtz
Jan HenrikZiegeldorf
JensHiller
KlausWehrle
article
2013-scn-ziegeldorf-iot-privacy
Privacy in the Internet of Things: Threats and Challenges
Security and Communication Networks - Special Issue on 'Security in a Completely Interconnected World'
2013
6
10
http://www.comsys.rwth-aachen.de/fileadmin/papers/2013/2013-ziegeldorf-scn-privacy-in-the-iot.pdf
Online
Wiley
en
10.1002/sec.795
1
Jan HenrikZiegeldorf
OscarGarcia-Morchon
KlausWehrle
inproceedings
2013-hummen-towards
Towards Viable Certificate-based Authentication for the Web of Things
2013
4
19
iotsec
fileadmin/papers/2013/2013-hummen-towards.pdf
ACM
Proceedings of the 2nd ACM Workshop on Hot Topics on Wireless Network Security and Privacy (HotWiSec '13)
Budapest, Hungary
2nd ACM Workshop on Hot Topics on Wireless Network Security and Privacy
en
978-1-4503-2003-0
10.1145/2463183.2463193
1
RenéHummen
Jan HenrikZiegeldorf
HosseinShafagh
ShahidRaza
KlausWehrle
inproceedings
2013-wisec-garcia-securing
Securing the IP-based Internet of Things with HIP and DTLS
2013
4
119--124
ACM
Proceedings of the 6th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec '13) (short paper)
978-1-4503-1998-0
10.1145/2462096.2462117
1
OscarGarcia-Morchon
Sye LoongKeoh
Sandeep S.Kumar
PedroMoreno-Sanchez
FranciscoVidal-Meca
Jan HenrikZiegeldorf
inproceedings
2013-pitsac-vidalmeca-hip
HIP security architecture for the IP-based Internet of Things
2013
3
25
1331 - 1336
The IP-based Internet of Things refers to the
pervasive interactions of smart objects and people enabling
new applications by means of IP protocols. An application
scenario is a Smart City in which the city infrastructure,
cars, and people exchange information to enable new services.
IP protocols, such as IPv6, TCP and HTTP will be further
complemented by IPv6 over Low powerWireless Personal Area
Networks and Constrained Application Protocol currently in
development in IETF. Security and privacy are a must for
the IP-based IoTs in order to ensure its acceptance. However,
mobility, limited bandwidth, and resource-constrained devices
pose new challenges and require for a sound and efficient
security architecture. In particular, dynamic association of
mobile smart objects and the management of keys in large-scale
networks remain an open challenge. In this context, we propose
a flexible security architecture based on the Host Identity
Protocol and Multimedia Internet KEYing protocols allowing
for secure network association and key management. HIP -
based on asymmetric-key cryptography - ensures unambiguous
thing identification, mobility support, as well as a lightweight
and secure method for network association. In our solution,
HIP is extended with MIKEY capabilities to provide enhanced
key management using polynomials, which allow to generate
pairwise keys with any node based on its identity. This
combination of protocols and crypto-algorithms ensures both
strong security and very good performance as shown by our
implementation and presents clear advantages compared with
other alternatives.
Internet of Things; Security; Network Access; Key Management
Online
IEEE
Proceedings of the 27th International Conference on Advanced Information Networking and Applications Workshops (WAINA), 2013
Barcelona, Spain
25.-28.03.2013
en
10.1109/WAINA.2013.158
1
FranciscoVidal Meca
Jan HenrikZiegeldorf
OscarGarcia-Morchon
Sandeep S.Kumar
Sye LoongKeoh
PedroMoreno-Sanchez
inproceedings
2012-hummen-seams
SEAMS: A Signaling Layer for End-host-Assisted Middlebox Services
2012
6
25
525--532
fileadmin/papers/2012/2012-hummen-seams.pdf
Proceedings of the 11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-12)
IEEE
Liverpool, United Kingdom
en
978-1-4673-2172-3
10.1109/TrustCom.2012.250
1
RenéHummen
Jan HenrikZiegeldorf
TobiasHeer
HannoWirtz
KlausWehrle