Regular expression matching is widely used in content-aware applications, such as NIDS and protocol identification. However, wire-speed processing for large scale patterns still remains a great challenge in practice. ...
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ISBN:
(纸本)9783319271613;9783319271606
Regular expression matching is widely used in content-aware applications, such as NIDS and protocol identification. However, wire-speed processing for large scale patterns still remains a great challenge in practice. Considering low hit rates in NIDS, a compact and efficient pre-filter is firstly proposed to filter most normal traffics and leave few suspicious traffics for further pattern matching. Experiment results show that, the pre-filter achieves a big improvement in both space and time consumption with its compact and efficient structure.
Hierarchical identity-based cryptography is an efficient technology to address the security issues in cloud storage. However, the inherent key escrow problem primarily hinders the widespread adoption of this cryptosys...
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ISBN:
(纸本)9783319271613;9783319271606
Hierarchical identity-based cryptography is an efficient technology to address the security issues in cloud storage. However, the inherent key escrow problem primarily hinders the widespread adoption of this cryptosystem in practice. To address the key escrow problem, this paper proposes an escrow-free hierarchical identity-based signature model, in which a user signs messages with a user-selected secret and PKG signing factor apart from the private key. For proving the full security, we formulate three security games with respect to our signature model. We instantiate the escrow-free model into a specific scheme based on the SHER-IBS scheme and prove that our scheme is secure against adaptive chosen ID and message attacks.
Cloud storage has become one of the integral parts of online life. However, the cloud storage brings in new kinds of data security issues as well. Authentication framework for both users and services provides an effic...
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ISBN:
(纸本)9783319271613;9783319271606
Cloud storage has become one of the integral parts of online life. However, the cloud storage brings in new kinds of data security issues as well. Authentication framework for both users and services provides an efficient solution to the security and privacy problems of the cloud storage. In this paper we propose a Hierarchical Identity-Based Signature (HIBS) scheme using composite order bilinear groups. We present the methodology of dual system signature to prove that our scheme is secure against existential forgery on adaptively chosen message and identity attack under standard model. Our HIBS scheme shares the same system parameters withthe hierarchical identity-based encryption (LW-HIBE) scheme by Lewko and Waters, and it is as efficient as the LW-HIBE. Combining our signature scheme withthe LW-HIBE scheme yields a complete solution of an identity-based public key system, which can be utilized to build an authentication framework for cloud storage.
Kirchhoff pre-stack depth migration (KPSDM) algorithm, as one of the most widely used migration algorithms, plays an important part in getting the real image of the earth. However, this program takes considerable time...
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ISBN:
(数字)9783319111940
ISBN:
(纸本)9783319111940;9783319111933
Kirchhoff pre-stack depth migration (KPSDM) algorithm, as one of the most widely used migration algorithms, plays an important part in getting the real image of the earth. However, this program takes considerable time due to its high computational cost;hence the working efficiency of the oil industry is affected. the general purpose Graphic processing Unit (GPU) and the Compute Unified Device Architecture (CUDA) developed by NVIDIA have provided a new solution to this problem. In this study, we have proposed a parallel algorithm of the Kirchhoff pre-stack depth migration and an optimization strategy based on the CUDA technology. Our experiments indicate that for large data computations, the accelerated algorithm achieves a speedup of 8 similar to 15 times compared with NVIDIA GPU.
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