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To address the lack of dynamic and heterologous characteristics for interconnect interface in software defined system on wafer, a dynamic heterologous redundancy secure interface (DHR-SI) architecture was proposed to maximize the reuse of functional logic. First, based on software defined interconnect technology, the heterogeneous characteristics were implemented in terms of circuit structure, transmission protocol, and message content. And then an arbitration scheduling mechanism was designed to achieve threat localization and dynamic reconfiguration. Finally, the architecture was validated and tested through a wafer scale chiplet. The experimental analysis shows that the proposed DHR-SI architecture has excellent threat detection, localization, and dynamic defense capabilities with limited overhead.

Copyright of Journal on Communication / Tongxin Xuebao is the property of Journal on Communications Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Control Theory & Applications / Kongzhi Lilun Yu Yinyong is the property of Editorial Department of Control Theory & Applications and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Telecommunication Engineering is the property of Telecommunication Engineering and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Distributed denial of service (DDoS) is a special form of denial of service (DoS) attack based on denial of service(DoS).It is a distributed,collaborative large-scale network attack.A DDoS detection method based on deep learning was presented.The method included two stages:feature processing and model detection:feature extraction,format conversion and dimension reconstruction of the input data packet was performed in feature processing stage;in the model detection stage,the processed features were input to the depth learning network model to detect whether the input data packets was DDoS attack packet.The model was trained by the ISCX2012 dataset,and the model was validated by real-time DDoS attack.The experimental results show that DDoS attack detection method based on deep learning has high detection precision,little dependency on hardware and software equipment,and the model of depth learning network is easy to update.

Copyright of Transactions of Beijing Institute of Technology is the property of Beijing University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Motivated by frequency hopping for military communication, end hopping tactic was proposed which can mitigate those threats such as DoS and eavesdrop greatly by changing the end information of port, address, timeslot, cryptographic algorithm or even protocol pseudo-randomly during end to end transmission. An active defense model has been established upon end hopping. Then a test-bed has been implemented through mobile agent with a successful solu- tion of synchronization and handoff. The model shows better performance in both theoretical analysis and empirical studies. The work demonstrates that end information hopping tactic is feasible and effective for active network confronta- tion.

An ideal model and its extended model of attack path reconstruction for IP traceback were established. Based on the method of probabilistic packet marking, attack path reconstructing process could be described as a convergent stochastic process, and the quantitative relationship of convergence time, path length and marking probability was presented. The required condition to obtain minimum convergence time was derived. The simulation results show that experimental values coincide with the theory results very well. The model provides a theoretic foundation for further research work on probabilistic packet marking approach. [ABSTRACT FROM AUTHOR]