Last August, a well-prepared exhibition titled "Chinese Scripts: From Oracle Bones to Computer Bytes" opened in Beijing-based Chinese Modern Literature Museum. This exhibition toured Egypt last October as a ...Last August, a well-prepared exhibition titled "Chinese Scripts: From Oracle Bones to Computer Bytes" opened in Beijing-based Chinese Modern Literature Museum. This exhibition toured Egypt last October as a cultural event in celebration of the opening of China Cultural Center in Egypt. After that, it will be displayed in France, Malta and the Republic of Korea.展开更多
The AI revolution is altering the innovation ecosystem at an unprecedented pace.Breakthroughs in generative AI,big data analytics,autonomous driving,and other fields have rendered conventional IP frameworks increasing...The AI revolution is altering the innovation ecosystem at an unprecedented pace.Breakthroughs in generative AI,big data analytics,autonomous driving,and other fields have rendered conventional IP frameworks increasingly inadequate.A central challenge confronting global IP systems is how to safeguard innovators’rights while fostering technological progress.展开更多
Today, the advent of quantum computers and algorithms is calling into question the semantic security of symmetrical and asymmetrical cryptosystems. The security of objects connected to the network, which must provide ...Today, the advent of quantum computers and algorithms is calling into question the semantic security of symmetrical and asymmetrical cryptosystems. The security of objects connected to the network, which must provide a security service and protect the privacy of users by providing protection against attacks such as identity theft, denial of service, eavesdropping and unauthorised access to personal and sensitive data. It is therefore necessary to find a robust method of using the key that is effective in protecting and preventing data tampering. In this paper, we design and implement a security and data protection method using a key generated on the basis of electromagnetic wave propagation theories. Modelling and implementation of a data security and protection method using a key generated on the basis of electromagnetic wave propagation theories.展开更多
Image captioning models typically operate with a fixed vocabulary,but captioning is an open-vocabulary problem.Existing work addresses the image captioning of out-of-vocabulary words by labeling it as unknown in a dic...Image captioning models typically operate with a fixed vocabulary,but captioning is an open-vocabulary problem.Existing work addresses the image captioning of out-of-vocabulary words by labeling it as unknown in a dictionary.In addition,recurrent neural network(RNN)and its variants used in the caption task have become a bottleneck for their generation quality and training time cost.To address these 2 essential problems,a simpler but more effective approach is proposed for generating open-vocabulary caption,long short-term memory(LSTM)unit is replaced with transformer as decoder for better caption quality and less training time.The effectiveness of different word segmentation vocabulary and generation improvement of transformer over LSTM is discussed and it is proved that the improved models achieve state-of-the-art performance for the MSCOCO2014 image captioning tasks over a back-off dictionary baseline model.展开更多
To avoid the complexity and inefficiency for specific applications of the current software architecture, a novel approach using partial evaluation is proposed to improve the running performance of components. The gene...To avoid the complexity and inefficiency for specific applications of the current software architecture, a novel approach using partial evaluation is proposed to improve the running performance of components. The generic program was specialized into domain-specific realization for the known knowledge and environments. The syntax and semantic(adj.) were analyzed based on byte code instruction sequences, and partial evaluation rules depicted how to perform the specialization. The partial evaluation for object-oriented programs was implemented. The experimental results show that partial evaluation is effective to speed up the running efficiency. The more generality and scalability can be obtained by the integration of partial evaluation with the favorable design mechanisms and compiler optimization technology.展开更多
The byte stream is widely used in malware detection due to its independence of reverse engineering.However,existing methods based on the byte stream implement an indiscriminate feature extraction strategy,which ignore...The byte stream is widely used in malware detection due to its independence of reverse engineering.However,existing methods based on the byte stream implement an indiscriminate feature extraction strategy,which ignores the byte function difference in different segments and fails to achieve targeted feature extraction for various byte semantic representation modes,resulting in byte semantic confusion.To address this issue,an enhanced adversarial byte function associated method for malware backdoor attack is proposed in this paper by categorizing various function bytes into three functions involving structure,code,and data.The Minhash algorithm,grayscale mapping,and state transition probability statistics are then used to capture byte semantics from the perspectives of text signature,spatial structure,and statistical aspects,respectively,to increase the accuracy of byte semantic representation.Finally,the three-channel malware feature image is constructed based on different function byte semantics,and a convolutional neural network is applied for detection.Experiments on multiple data sets from 2018 to 2021 show that the method can effectively combine byte functions to achieve targeted feature extraction,avoid byte semantic confusion,and improve the accuracy of malware detection.展开更多
New block cipher algorithm in single byte for wireless sensor network with excellence of many cipher algorithms is studied. The child keys are generated through the developed discrete Logistic mapping, and the Feistel...New block cipher algorithm in single byte for wireless sensor network with excellence of many cipher algorithms is studied. The child keys are generated through the developed discrete Logistic mapping, and the Feistel encrypting function with discrete chaos operation is constructed. The single byte block is encrypted and decrypted through one turn permutation, being divided into two semi-byte, quadri- Feistel structural operation, and one turn permutation again. The amount of keys may be variable with the turns of Feistel structural operation. The random and security of the child key was proven, and the experiment for the block cipher in wireless sensor network was completed. The result indicates that the algorithm is more secure and the chaos block cipher in single byte is feasible for wireless sensor network.展开更多
Network traffic classification aims at identifying the application types of network packets. It is important for Internet service providers （ISPs） to manage bandwidth resources and ensure the quality of service for ...Network traffic classification aims at identifying the application types of network packets. It is important for Internet service providers （ISPs） to manage bandwidth resources and ensure the quality of service for different network applications However, most classification techniques using machine learning only focus on high flow accuracy and ignore byte accuracy. The classifier would obtain low classification performance for elephant flows as the imbalance between elephant flows and mice flows on Internet. The elephant flows, however, consume much more bandwidth than mice flows. When the classifier is deployed for traffic policing, the network management system cannot penalize elephant flows and avoid network congestion effectively. This article explores the factors related to low byte accuracy, and secondly, it presents a new traffic classification method to improve byte accuracy at the aid of data cleaning. Experiments are carried out on three groups of real-world traffic datasets, and the method is compared with existing work on the performance of improving byte accuracy. Experiment shows that byte accuracy increased by about 22.31% on average. The method outperforms the existing one in most cases.展开更多
The Ethernet over E1 approach, which takes advantage of widely deployed telecom networks, is an efficient and economical way to interconnect two Ethernets in different regions. Two Ethemet over E1 schemes, namely a by...The Ethernet over E1 approach, which takes advantage of widely deployed telecom networks, is an efficient and economical way to interconnect two Ethernets in different regions. Two Ethemet over E1 schemes, namely a byte granularity scheme and a frame granularity scheme are discussed. The byte granularity scheme partitions Ethernet frames into several pieces for transmission and has a strict requirement on the maximum delay difference of multiple E1 links. To solve this problem, the newly proposed frame granularity scheme transmits separately each frame through E1 links without any partitioning. The architecture designs of both schemes are presented. This paper evaluates the throughput and delay performances of both schemes, both analytically from results calculated from delay models and using test results from field programmable gate array （FPGA） implementation. Although the frame granularity scheme has a slightly worse delay performance, it has a higher throughput, and is the only choice able to overcome large delay differences of the E1 links.展开更多
文摘Last August, a well-prepared exhibition titled "Chinese Scripts: From Oracle Bones to Computer Bytes" opened in Beijing-based Chinese Modern Literature Museum. This exhibition toured Egypt last October as a cultural event in celebration of the opening of China Cultural Center in Egypt. After that, it will be displayed in France, Malta and the Republic of Korea.
文摘The AI revolution is altering the innovation ecosystem at an unprecedented pace.Breakthroughs in generative AI,big data analytics,autonomous driving,and other fields have rendered conventional IP frameworks increasingly inadequate.A central challenge confronting global IP systems is how to safeguard innovators’rights while fostering technological progress.
文摘Today, the advent of quantum computers and algorithms is calling into question the semantic security of symmetrical and asymmetrical cryptosystems. The security of objects connected to the network, which must provide a security service and protect the privacy of users by providing protection against attacks such as identity theft, denial of service, eavesdropping and unauthorised access to personal and sensitive data. It is therefore necessary to find a robust method of using the key that is effective in protecting and preventing data tampering. In this paper, we design and implement a security and data protection method using a key generated on the basis of electromagnetic wave propagation theories. Modelling and implementation of a data security and protection method using a key generated on the basis of electromagnetic wave propagation theories.
基金the National Natural Science Foundation of China(No.61877002)Beijing Municipal Commission of Education(PXM2019014213000007).
文摘Image captioning models typically operate with a fixed vocabulary,but captioning is an open-vocabulary problem.Existing work addresses the image captioning of out-of-vocabulary words by labeling it as unknown in a dictionary.In addition,recurrent neural network(RNN)and its variants used in the caption task have become a bottleneck for their generation quality and training time cost.To address these 2 essential problems,a simpler but more effective approach is proposed for generating open-vocabulary caption,long short-term memory(LSTM)unit is replaced with transformer as decoder for better caption quality and less training time.The effectiveness of different word segmentation vocabulary and generation improvement of transformer over LSTM is discussed and it is proved that the improved models achieve state-of-the-art performance for the MSCOCO2014 image captioning tasks over a back-off dictionary baseline model.
基金Sponsored by the National High-Tech Research and Development Program of China (Grant No 2001AA113160,2004AA104280,and 2007AA010302)the National Natural Science Foundation of China(Grant No90718004)
文摘To avoid the complexity and inefficiency for specific applications of the current software architecture, a novel approach using partial evaluation is proposed to improve the running performance of components. The generic program was specialized into domain-specific realization for the known knowledge and environments. The syntax and semantic(adj.) were analyzed based on byte code instruction sequences, and partial evaluation rules depicted how to perform the specialization. The partial evaluation for object-oriented programs was implemented. The experimental results show that partial evaluation is effective to speed up the running efficiency. The more generality and scalability can be obtained by the integration of partial evaluation with the favorable design mechanisms and compiler optimization technology.
基金This work is supported in part by the Information Security Software Project(2020)of the Ministry of Industry and Information Technology,PR China under Grant CEIEC-2020-ZM02-0134.
文摘The byte stream is widely used in malware detection due to its independence of reverse engineering.However,existing methods based on the byte stream implement an indiscriminate feature extraction strategy,which ignores the byte function difference in different segments and fails to achieve targeted feature extraction for various byte semantic representation modes,resulting in byte semantic confusion.To address this issue,an enhanced adversarial byte function associated method for malware backdoor attack is proposed in this paper by categorizing various function bytes into three functions involving structure,code,and data.The Minhash algorithm,grayscale mapping,and state transition probability statistics are then used to capture byte semantics from the perspectives of text signature,spatial structure,and statistical aspects,respectively,to increase the accuracy of byte semantic representation.Finally,the three-channel malware feature image is constructed based on different function byte semantics,and a convolutional neural network is applied for detection.Experiments on multiple data sets from 2018 to 2021 show that the method can effectively combine byte functions to achieve targeted feature extraction,avoid byte semantic confusion,and improve the accuracy of malware detection.
基金the National Basic Research Program(Grant No.G1999033105)the Fund of Chongqing Science and Technology Committee(Grant No.2005BB2198)+1 种基金the Fund of the Natural Science of Education Department of Anhui Province,China(Grant No.2005KJ092)the Fund of the Natural Science for the Young Teachers of Huainan Normal University in China(Grant No.2004LKQ01)
文摘New block cipher algorithm in single byte for wireless sensor network with excellence of many cipher algorithms is studied. The child keys are generated through the developed discrete Logistic mapping, and the Feistel encrypting function with discrete chaos operation is constructed. The single byte block is encrypted and decrypted through one turn permutation, being divided into two semi-byte, quadri- Feistel structural operation, and one turn permutation again. The amount of keys may be variable with the turns of Feistel structural operation. The random and security of the child key was proven, and the experiment for the block cipher in wireless sensor network was completed. The result indicates that the algorithm is more secure and the chaos block cipher in single byte is feasible for wireless sensor network.
基金supported by the National Basic Research Program of China(2009CB320505)
文摘Network traffic classification aims at identifying the application types of network packets. It is important for Internet service providers （ISPs） to manage bandwidth resources and ensure the quality of service for different network applications However, most classification techniques using machine learning only focus on high flow accuracy and ignore byte accuracy. The classifier would obtain low classification performance for elephant flows as the imbalance between elephant flows and mice flows on Internet. The elephant flows, however, consume much more bandwidth than mice flows. When the classifier is deployed for traffic policing, the network management system cannot penalize elephant flows and avoid network congestion effectively. This article explores the factors related to low byte accuracy, and secondly, it presents a new traffic classification method to improve byte accuracy at the aid of data cleaning. Experiments are carried out on three groups of real-world traffic datasets, and the method is compared with existing work on the performance of improving byte accuracy. Experiment shows that byte accuracy increased by about 22.31% on average. The method outperforms the existing one in most cases.
文摘The Ethernet over E1 approach, which takes advantage of widely deployed telecom networks, is an efficient and economical way to interconnect two Ethernets in different regions. Two Ethemet over E1 schemes, namely a byte granularity scheme and a frame granularity scheme are discussed. The byte granularity scheme partitions Ethernet frames into several pieces for transmission and has a strict requirement on the maximum delay difference of multiple E1 links. To solve this problem, the newly proposed frame granularity scheme transmits separately each frame through E1 links without any partitioning. The architecture designs of both schemes are presented. This paper evaluates the throughput and delay performances of both schemes, both analytically from results calculated from delay models and using test results from field programmable gate array （FPGA） implementation. Although the frame granularity scheme has a slightly worse delay performance, it has a higher throughput, and is the only choice able to overcome large delay differences of the E1 links.
