Results 1 - 7 of 7

Efficient In-Network Adaptation of Encrypted H.264/SVC Content

by Hermann Hellwagner, Robert Kuschnig, Thomas Stütz, Andreas Uhl , 2009
"... This paper addresses the efficient adaptation of encrypted scalable video content (H.264/SVC). RTP-based in-network adaptation schemes on a media aware network element (MANE) in an IPTV and VoD scenario are considered. Two basic alternatives to implement encryption and adaptation of H.264/SVC conten ..."
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outperforms the SRTP-based approach. SVC-specific encryption is also superior in terms of induced end-to-end delays. The performance can even be improved by selective application of the SVC-specific encryption scheme. The results indicate that efficient adaptation of SVC-encrypted content on low

New Novel Approaches for Securing VoIP Applications

by Chan Yeob Yeun, Kyusuk Han, Kwangjo Kim
"... Abstract. SIP message authentication and SRTP key agreement are the important issue in the SIP-based VoIP service. Several secure solutions such as HTTP Digest Authentication, SSL/TLS, and S/MIME, are used for the SIP message authentication and key agreement. When the VoIP is used in the wireless en ..."
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Abstract. SIP message authentication and SRTP key agreement are the important issue in the SIP-based VoIP service. Several secure solutions such as HTTP Digest Authentication, SSL/TLS, and S/MIME, are used for the SIP message authentication and key agreement. When the VoIP is used in the wireless

Structural Information Implant in a Context Based Segmentation-Free HMM Handwritten Word Recognition System for Latin and Bangla Script

by Szilárd Vajda, Abdel Belaïd
"... In this paper, an improvement of a 2D stochastic model based handwritten entity recognition system is described. To model the handwriting considered as being a two dimensional signal, a context based, segmentation-free Hidden Markov Model (HMM) recognition system was used. The baseline approach comb ..."
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In this paper, an improvement of a 2D stochastic model based handwritten entity recognition system is described. To model the handwriting considered as being a two dimensional signal, a context based, segmentation-free Hidden Markov Model (HMM) recognition system was used. The baseline approach

VoIP Networks Performance Analysis with Encryption Systems

by Edward Paul Guillen, Diego Alej, Ro Chacon
"... Abstract—The VoIP networks as alternative method to traditional PSTN system has been implemented in a wide variety of structures with multiple protocols, codecs, software and hardware–based distributions. The use of cryptographic techniques let the users to have a secure communication, but the calcu ..."
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, but the calculate throughput as well as the QoS parameters are affected according to the used algorithm. This paper analyzes the VoIP throughput and the QoS parameters with different commercial encryption methods. The measurement–based approach uses lab scenarios to simulate LAN and WAN environments. Security

unknown title

by unknown authors
"... Structural information implant in a context based segmentation-free HMM handwritten word recognition system for Latin and Bangla script In this paper, an improvement of a 2D stochastic model based handwritten entity recognition system is described. To model the handwriting considered as being a two ..."
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dimensional signal, a context based, segmentation-free Hidden Markov Model (HMM) recognition system was used. The baseline approach combines a Markov Random Field (MRF) and a HMM so-called Non-Symmetric Half Plane Hidden Markov Model (NSHP-HMM). To improve the results performed by this baseline system

Offline Handwritten Word Recognition Using A Hybrid Neural Network And Hidden Markov Models

by Yong Haur Tay, Pierre-michel Lallican, Marzuki Khalid, Christian Viard-Gaudin, Stefan Knerr , 2001
"... This paper describes an approach to combine neural network (NN) and Hidden Markov models (HMM) for solving handwritten word recognition problem. The preprocessing involves generating a segmentation graph that describes all possible ways to segment a word into letters. To recognize a word, the NN com ..."
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present a structural training scheme to improve the performance of the recognizer. An offline handwritten word recognizer is developed based on this approach and the recognition performance of the recognizer on three isolated word image databases, namely, IRONOFF, SRTP and AWS, are presented. 1.

Probabilistic Attack Scenarios to Evaluate Policies over Communication Protocols

by Samir Ouchani, Yosr Jarraya, Otmane Ait Mohamed, Mourad Debbabi
"... Abstract — Security is an important non-functional require-ment that should be analyzed in any system or software that is potentially exposed to security threats. Since we can’t manage what we don’t measure, it is not enough to address only the qualitative assessment of security. In this paper, we p ..."
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propose a novel approach that leads to a qualitative and quantitative analysis of communication protocols. Our approach is based on probabilistic model-checking and probabilistic attack scenarios. To the best of our knowledge, the present work is the first initiative that combines these two techniques
Results 1 - 7 of 7