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Network Device Identification Based on MAC Boundary Inference 7th

Network Device Identification Based on MAC Boundary Inferenc...

引用

7th International Conference on Artificial Intelligence and Security, ICAIS 2021

作者： Guo, Xinmiao Li, Xiangnan Li, Ruixiang Wang, Xiuting Luo, Xiangyang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450000 China

ISBN: (纸本)9783030786205

Network device is an important part of cyberspace, and accurate identification of network device is the basis of network management and security analysis. The current identification method based on MAC address is rely on converting MAC address and other information into fingerprints and MAC address distance to identify network device eventually. However, this identification method based on MAC address distance has high false alarm rate. A method for network device identification based on MAC boundary inference is proposed. Considering the device manufacturers’ strategies of allocating MAC addresses in sequence for devices with same type, the relationship between the type and MAC address is built according known devices firstly. Then, MAC address aggregation rule is built to infer the MAC prefix for those known type, and the MAC boundary is obtained. Finally, the type of target network device is identified by matching target MAC with MAC prefix, or calculating the distance between target MAC with the MAC boundary. The experimental result in simulation dataset show that the identification method proposed in this paper is better than the identification method based on MAC address distance significantly, and then been less affected by the distribution of MACs of known devices. And the experimental result in Cisco device dataset show that our method increases the identification accuracy rate of the identification method based on MAC address distance by 11.9%. © 2021, Springer Nature Switzerland AG.

关键词： Computers

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Network security assessment based on full host-based attack graph

Network security assessment based on full host-based attack ...

引用

2020 International Conference on Cyberspace Innovation of advanced Technologies, CIAT 2020

作者： Wang, Xiao-Fan Zhou, Tian-Yang Zhu, Jun-Hu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan China

ISBN: (纸本)9781450387828

Network security assessment is an important method of evaluating network security. The existing researches of network security assessment have the problem that the method is not comprehensive and accurate. In order to solve this problem, we proposed a method of network security assessment based on a full host-based attack graph from the "point"and "plane"perspective. This method constructed a full host-based attack graph model, and proposed a splitting algorithm for weakly connected components of the full host-based attack graph. The algorithm is used to evaluate the network security from the "plane"perspective. Meanwhile, based on the full host-based attack graph and the theory of degree centrality and betweenness centrality, the key nodes in the network are evaluated. Therefore, this method accomplished the comprehensive and accurate security measurement of the network. The experimental results showed the effectiveness of the method. © 2020 ACM.

关键词： Network security

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Quantum computing control system configuration optimizer with adaptive genetic algorithm 9

Quantum computing control system configuration optimizer wit...

引用

9th International Symposium on Advances in Electrical, Electronics, and Computer engineering, ISAEECE 2024

作者： Huang, Shucheng Wang, Junchao Pang, Jianmin Shan, Zheng State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450002 China

ISBN: (纸本)9781510683303

As quantum computing continues to advance, the complexity of control systems for superconducting qubits also increases. This paper presents a genetic algorithm (GA) approach for optimizing the control systems in quantum computing. Focusing on minimizing costs, maximizing resource utilization, and reducing device count, the study demonstrates the algorithm's effectiveness in configuring control systems efficiently. Experimental results from five quantum chips, ranging from 64 to 1024 bits, demonstrate significant improvements in cost efficiency and device management after 500 generations of optimization. The findings highlight the algorithm's adaptability to different quantum system scales and its potential in enhancing the scalability and efficiency of quantum computing architectures. © 2024 SPIE.

关键词： Quantum computers

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Binary vulnerability mining technology based on neural network feature fusion 5

Binary vulnerability mining technology based on neural netwo...

引用

5th International Conference on advanced Electronic Materials, Computers and Software engineering, AEMCSE 2022

作者： Han, Wenjie Pang, Jianmin Zhou, Xin Zhu, Di State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450002 China

ISBN: (数字)9781665484749

ISBN: (纸本)9781665484749

The high complexity of software and the diversity of security vulnerabilities have brought severe challenges to the research of software security vulnerabilities Traditional vulnerability mining methods are inefficient and have problems such as high false positives and high false negatives, which can not meet the growing needs of software security. To solve the above problems, this paper proposes a binary vulnerability mining technology based on neural network feature fusion. Firstly, this method constructs binary vulnerability data sets containing multiple vulnerability types, then decompile them to the pcode intermediate language level, and then extracts relevant feature vectors from binary vulnerability data sets according to Bert fine tuning model and bilstm model respectively. In order to fully obtain the semantic information of vulnerabilities, this method standardized the two, fused them, and carried out relevant experiments. The experimental results show that the accuracy of vulnerability detection on SARD data set is 96.92%, which is higher than other binary vulnerability detection methods based on neural network. © 2022 IEEE.

关键词： Deep neural networks

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IPv6 Landmark Mining Based on Domain Name Screening and IPv4-IPv6 Connection 21

IPv6 Landmark Mining Based on Domain Name Screening and IPv4...

引用

5th International Conference on Electronic Information Technology and Computer engineering, EITCE 2021

作者： Liu, Minghao Sun, Yuchen Liu, Chong Zu, Shuodi Zhang, Fan State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan China

ISBN: (纸本)9781450384322

Existing IP landmark mining technologies mainly focus on IPv4, and less attention is paid to the association between IPv4 and IPv6. The current IPv6 network has fewer reliable landmarks with limited accuracy, while the IPv4 network already has a large number of reliable landmarks. If IPv4 landmarks can be used in IPv6 landmark mining, the accuracy and efficiency of IPv6 landmark acquisition will be improved. To this end, this paper proposes an IPv6 landmark mining method based on domain name screening and IPv4-IPv6 connection. This method first uses the domain names of government agencies, top universities, and top websites as seed domain names, and continuously obtains a large number of domain names through web crawlers;then performs DNS resolution on the obtained domain names to obtain their corresponding IPv4 address and IPv6 address;and finally evaluate and analyze whether the two addresses are located in the same location, and determine whether to use it as an IPv6 landmark. This method successfully associates the IPv4 geolocation with the IPv6 geolocation, and uses the IPv4 landmarks to obtain and evaluate the IPv6 landmarks. Experimental results show that this method can obtain city-level IPv6 network landmarks more efficiently, and it also has a certain ability in street-level landmark mining. © 2021 ACM.

关键词： Mining

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Automatic binary de-obfuscation based compiler optimization 6th

Automatic binary de-obfuscation based compiler optimization

引用

6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015

作者： Lin, Wei Fei, Jin-Long Cai, Rui-Jie State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450002 China

ISBN: (纸本)9783319204710

Junk code increase manual analysis difficulty in reverse engineering, and seriously disturb the automatic analysis process of ant code obfuscating, so find a junk code removing method has a great significance in the field of reverse engineering. Based on this, aiming at the problem that the executable context-dependent junk code is difficult to remove automatically, this paper proposes a junk code removing method based on idle register slicing, through analyzing data dependencies between instructions, get all the idle register of all instruction in code block, slice the code block by idle registers respectively, remove all the junk code in the slice instruction. Experiments show that, this method can remove embedded executable junk code rapidly and accurately, improve the efficiency of reverse engineering. © Springer International Publishing Switzerland 2015.

关键词： Reverse engineering

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Clustering and Routing Optimization Algorithm for Heterogeneous Wireless Sensor Networks 16

Clustering and Routing Optimization Algorithm for Heterogene...

引用

16th IEEE International Wireless Communications and Mobile computing Conference, IWCMC 2020

作者： Chen, Ling Liu, Wenwen Gong, Daofu Chen, Yan State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450002 China

ISBN: (纸本)9781728131290

Wireless sensor network (WSN) is the cutting-edge technology of modern monitoring technology. There is a direct relationship between the length of its lifetime and its performance. Efficient and reasonable clustering and routing algorithm can reduce the energy loss in the network, which is of great significance for prolonging the network lifetime. The traditional WSN protocol has been difficult to meet the needs of the contemporary society. This paper focuses on the advantages and disadvantages of the traditional WSN protocol, and puts forward relevant improvement measures to optimize the traditional WSN protocol and extend the network life time. © 2020 IEEE.

关键词： Wireless sensor networks

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Dynamic Network Change Detection via Dynamic Network Representation Learning 14th

Dynamic Network Change Detection via Dynamic Network Represe...

引用

14th EAI International Conference on Communications and Networking in China, ChinaCom 2019

作者： Feng, Hao Liu, Yan Zhou, Ziqiao Chen, Jing China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9783030411138

The structure of the network in the real world is very complex, as the dynamic network structure evolves in time dimension, how to detect network changes accurately and further locate abnormal nodes is a research hotspot. Most current feature learning methods are difficult to capture a variety of network connectivity patterns, and have a high time complexity. In order to overcome this limitation, we introduce the network embedding method into the field of network change detection, we find that node-based egonet can better reflect the connectivity patterns of the node, so a dynamic network embedding model Egonet2Vec is proposed, which is based on extracting the connectivity patterns of the node-based egonets. After the dynamic network representation learning, we use a dynamic network change detection strategy to detect network change time points and locate abnormal nodes. We apply our method to real dynamic network datasets to demonstrate the validity of this method. © 2020, ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering.

关键词： Change detection

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Improvement of Differential Fault Attack Based on Lightweight Ciphers with GFN Structure 5th

Improvement of Differential Fault Attack Based on Lightweigh...

引用

5th International Conference on Artificial Intelligence and Security, ICAIS 2019

作者： Gao, Yang Wang, Yongjuan Yuan, Qingjun Wang, Tao Wang, Xiangbin State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

ISBN: (纸本)9783030242640

In this paper, we focus on differential fault attack on lightweight block ciphers with GFN (Generalized Feistel Networks) structure. With regard to fault injection model and differential equations solving, two improved DFA (Differential Fault Analysis) methods are proposed. Based on this, we present the improved attack process which aims at applying lightweight block ciphers with GFN structure. We conduct 10000 DFA experiments on TWINE and LBlock. Result shows that it only takes 9.18 and 8.42 faults on average to recover the main key K respectively. Moreover, time and space complexity are both negligible. © 2019, Springer Nature Switzerland AG.

关键词： Lyapunov methods

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Steady-state Topology Discovery of Target Networks Based on Statistics Method 5th

Steady-State Topology Discovery of Target Networks Based on ...

引用

5th International Conference on Artificial Intelligence and Security, ICAIS 2019

作者： Yang, Di Liu, Yan Chen, Jing China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9783030242671

The progress of target network topology discovery research is slow due to the uncertainty of the target network range, and large-scale network measurement activities lead to a large accumulation of "false links" in the results, it is difficult to obtain a relatively accurate network topology. In this paper, we proposed a statistical-based target network steady-state topology discovery method. By statistical analyzing the characteristics of the measured data, we have proposed corresponding solutions to network boundary recognition, "false links" deletion and network steady-state topology construction, so that a relatively complete and accurate target network steady topology can be obtained. We also use this method to probe the HK (Hong Kong) and TW (Tai Wan) network and compare it with the data of CAIDA in the same period. Not only do the number of nodes and edges found are increased by two or three orders of magnitude, but also the number of "false links" in the results is greatly reduced. © 2019, Springer Nature Switzerland AG.

关键词： Network topology

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