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An Automatic Exploit Generation Method Based on Symbolic Execution

An Automatic Exploit Generation Method Based on Symbolic Exe...

引用

International Conference on Instrumentation, Measurement, Computer, Communication and control (IMCCC)

作者： Hao Fang Wenbo Fen Menglin Fu Institute of Command and Control engineering Army Engineering University Of PLA Army Engineering University of PLA Nanjing China

ISBN: (数字)9781538682463

ISBN: (纸本)9781538682470

Return-to-dl-resolve [3] is a general exploit technology that can break through complex protection mechanisms. However, it's hard to be employed for security researchers must understand the principle of ELF dynamic linking and construct shell-code manually. This paper proposes an automatic method to generate Return-to-dl-resolve exploit based on symbolic execution, which provides a symbolic execution environment for ELF executable files, constrains symbolic program state at crash point and solves the constraints through constraint solver, then implements a system called R2d1AEG to generate Return-to-dl-resolve ShellCode automatically. The experimental results show that R2dlAEG system can generate shell-code more quickly and can break both NX and ASLR.

关键词： Computer crashes Ground penetrating radar Geophysical measurement techniques Engines Libraries Security Analytical models

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Next generation differential GPS architecture

Next generation differential GPS architecture

引用

18th International Technical Meeting of the Satellite Division of The institute of Navigation, ION GNSS 2005

作者： Cleveland, A. Wolfe, D. Parsons, M. Remondi, B. Ferguson, K. Albright, M. U.S. Coast Guard Command and Control Engineering Center XYZs of GPS Inc. Nationwide and Maritime Differential GPS and Short Range Aids to Navigation Projects C2CEN US Coast Guard Institute of Navigation Council as Marine Representative Coast Guard Command and Control Engineering Center Portsmouth VA NDGPS Architecture Modernization FHWA/USCG High Accuracy-NDGPS

The United States Coast Guard is engaged in a project to re-capitalize Reference Station (RS) and Integrity Monitor (IM) equipment used in the Nationwide Differential Global Position System (NDGPS). The Coast Guard in partnership with industry is developing a new software application to run on an open architecture platform as a replacement for legacy equipment. Present commercially available off-the-shelf Differential Global Positioning System (DGPS) RS and IM equipment lacks the open architecture required to support long term goals and future system improvements. The utility of the proposed new hardware architecture and software application is impressive - nearly every aspect of performance and supportability significantly exceeds that of the legacy archetecture. The flexibility of the new hardware and software architectures complement each other to offer promising possibilities for the future. For example, the new hardware architecture uses Ethernet for internal and external site equipment communications. Each Local Area Network (LAN) will be equiped with a router and two 24 port switches. Various levels of password protection are provided to manage security both locally and remotely. While the new software application directly supports the legacy RS-232/422 interfaces to devices such as GPS receivers, a system design goal includes the ability to directly address each device from NCS. With the use of TCP/IP to RS-232/422 port server devices, the system can meet these forward reaching goals while supporting legacy equipment. New system capabilities include remote software management, remote hardware configuration management, and flexible options for management of licenses. The new configurable RS and IM architecture is a PC-based emulation of legacy reference station and integrity monitor equipment. It supports fluid growth and exploitation of new signals, formats, and technology as they become available, while remaining backward compatible with legacy architecture

关键词： Global positioning system

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Application of Intelligent Algorithms in UAV Geomagnetic Navigation Modeling

Application of Intelligent Algorithms in UAV Geomagnetic Nav...

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2019 IEEE International Conference on Unmanned Systems, ICUS 2019

作者： Huang, Jingli Mei, Dan Su, Feng Zhang, Xiangyu Naval Aeronautical University Department of Aeronautical Electrical Control Engineering and Command Qingdao China Naval Aeronautical University Qingdao Branch Qingdao China Naval Aeronautical University Institute of Information Fusion Yantai China

ISBN: (纸本)9781728137926

Rectangular harmonic model is a common model in UAV geomagnetic navigation. In order to reduce the navigational error caused by the model factors and achieve high-precision navigation, the original Earth's main magnetic field model is replaced by rectangular harmonic model. In creating a rectangular harmonic model, inertia weight adaptive particle swarm algorithm is adopted to solve the problem that too many undetermined coefficients can easily fall into local optimum in the central region. The ability of generalization to inhibit the boundary effect of radial basis function neural network is used in the border region. Meanwhile, the design of the error box to a more reasonable distinction between center and boundary is designed. The simulation results show that the optimized combination of the two intelligent algorithm makes the accuracy of the model further higher. © 2019 IEEE.

关键词： Errors

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Neural network based software reliability prediction with the feed of testing process knowledge

Neural network based software reliability prediction with th...

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2012 International Conference on Information Technology and Software engineering, ITSE 2012

作者： Jie, Tian Yong, Zhou Lina, Wang Bei Jing Command College of CPAPF Beijing China China Machinery TIDI Geotechnical Engineering Co. Ltd. Wuhan China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing Aerospace Automatic Control Institute Beijing China

ISBN: (纸本)9783642345302

Software reliability is an important factor for evaluating software quality in the domain of safety-critical software. Traditional software reliability growth models (SRGMs) only uses the failure data produced in a testing process to evaluate the software reliability and its growth. However, the number and severity of the failures uncovered are determined by the effectiveness and efficiency of testing process. Therefore, an unbiased reliability prediction has to take test process knowledge into account. In this paper, we proposed a neural network based reliability prediction method to utilize the testing process metrics to correlate testing process knowledge with failure prediction. The metrics designed in this paper cover information from the system under test (SUT), design of testing, software failure and repair process. The method is validated through the testing process data collected from a real embedded operating system. And the results show a fairly accurate prediction capability. © 2013 Springer-Verlag.

关键词： Software reliability

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Pressurizer Water Level Reconstruction for Nuclear Power Plant Based on GRU

Pressurizer Water Level Reconstruction for Nuclear Power Pla...

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International Conference on Instrumentation, Measurement, Computer, Communication and control (IMCCC)

作者： Jin Zhang Zhisong Pan Wei Bai Xingyu Zhou Institute of Command Control Engineering Army Engineering University Nanjing China Dept of Watercraft Power Command Army Military Transportation University Zhenjiang China

ISBN: (数字)9781538682463

ISBN: (纸本)9781538682470

Pressurizer water level is a vital parameter for marine pressurized water reactors (PWR). Operators use it as key evidence to comprehend reactors' operating conditions and identify their transients. Aiming at problems such as false water level and water level depression due to measurement faults, this paper applied deep learning techniques to the reconstruction on nuclear facilities' parameters. Considering the timing features of PWR operation, a reconstruction model for pressurizer water level were developed upon Gated Recurrent Unit(GRU) recurrent neural network theory. Six parameters highly coupled with pressurizer water level, including the average temperatures of reactor inlet and outlet, the pressure and temperature of pressurizer, the main coolant flow in primary circuit and reactor power, were selected as characteristic input parameters for the reconstruction model. By collecting the operating data of a marine PWR simulator whose reactor power transiently increased from 30% to 90%, the reconstructive pressurizer water levels were tested. The findings showed that the Mean Absolute Error(MAE) resulted from the GRU reconstruction model 0.003345. Compared with BP neural network models, the GRU model was not only able to more accurately approximate the true water level value, but also demonstrated better robustness, stability and convergence rate.

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A Nonlinear control Algorithm Based on Adaptive Wavelet Net for STT Anti-ship Missile

A Nonlinear Control Algorithm Based on Adaptive Wavelet Net ...

引用

Computational engineering in Systems Applications, CESA, IMACS Multiconference on FLAGGED

作者： Jie Chen Changpeng Pan Wenjin Gu Department of Control Engineering Naval Aeronautical Engineering Institute Yantai China Department of Command Naval Aeronautical Engineering Institute Yantai China

A new nonlinear control algorithm of combining dynamic inversion, wavelet net and sliding mode control has been developed. The nonlinear dynamic theory is used to approximate linearization of the nonlinear system, the system dynamic inversion error is compensated by wavelet net which is capable of online learning. The adaptive weights adjustment rule is derived by using Lyapunov stability theory, and the system robustness is guaranteed by using sliding mode control and robustness control. The presented nonlinear control algorithm is applied to one STT missile control system. The simulation results show the proposed algorithm can eliminate the influence brought by disturbance availably, raise the precision of missile overload control system response

关键词： Programmable control Adaptive control Missiles Sliding mode control Nonlinear dynamical systems control systems Robust control Robust stability Nonlinear control systems Heuristic algorithms

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Seeded faults and their locations design using bayes formula and program logic in software testing

Seeded faults and their locations design using bayes formula...

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6th International Conference on Evaluation of Novel Approaches to Software engineering, ENASE 2011

作者： Lina, Wang Jie, Tian Bo, Li Beijing Key Laboratory of Digital Media School of Computer Science and Engineering Beihang University Beijing China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing Aerospace Automatic Control Institute Beijing China Beijing Command College CPAPF Beijing China

ISBN: (纸本)9789898425577

Focusing on three questions "what faults to seed", "how to seed faults more effectively" and "how to select the seeded fault locations", the methods of fault seeding are studied. Aiming at procedural language source code, a fault classification scheme is presented. Referring to Howden's fault classification scheme, and based on the occurrence causes and manifestations of software faults, a hierarchy of fault classes is designed. The faults are categorized as assignment faults, control flow faults or runtime environment faults. Then they are further classified by degrees, respectively. 96 categories are included in all. According to this classification, a statistical method based on Bayes formula is designed to determine the manifestations of seeded faults. A logical method based on the logical relation between control flow and data flow of program is presented to set seeded locations. And the concrete seeding process is introduced. Finally, the methods are verified by a case.

关键词： Software testing

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Hybrid independent component analysis and support vector machine approach for audio classification

Hybrid independent component analysis and support vector mac...

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2006 IEEE International Conference on Networking, Sensing and control, ICNSC'06

作者： Xianzhong, Zhou Xin, He Yingchun, Shi School of Management and Engineering Nanjing University Nanjing 210093 China Department of Automatic Control Nanjing University of Science and Technology Nanjing 210094 China Simulation Center Communication Command Institute PLA WuHan 430010 China

ISBN: (纸本)1424400651

The recent explosive growth of multimedia information in many applications requires advanced techniques for multimedia information retrieval (MIR). Audio is one of Important media in multimedia and contains abundant information. Recent development in MIR has revealed that audio information can provide effective contents to retrieve multimedia information. Consequently, it has been paid more and more attention to how to classify audio information. Many existing and new research issues can lead to improve the retrieval efficiency, effectiveness, and accessibility. This paper provides a hybrid classification method for audio indexing and retrieval. It firstly describes main audio characteristics and features and the basic theory of Support Vector Machine (SVM) and Independent Component Analysis (ICA). Finally, the hybrid method that integrates ICA and SVM is presented and applied into audio classification. © 2006 IEEE.

关键词： Support vector machines

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A networked unit of employment command element designed for efficient battery charging

A networked unit of employment command element designed for ...

引用

Power Systems Conference

作者： Dietz, Eric Stein, Lawrence Ryan, Joseph Purdue Homeland Security Institute Purdue University West Lafayette IN 47907 United States US Army Communications-Electronics Research Development and Engineering Center Command and Control Directorate Ft Monmouth NJ 07703 United States

A Unit of Employment (UE) is the senior Army headquarters deployed to a theater. UE command Element is responsible for all ground combat operations in the theater. Rapid deployment of ground combat units depends on the effective management of all resources available during early entry in a theater including electrical resources. Electrical power consumers on the future battlefield include complex command posts, vehicles, sensors, communication systems, and decision-making networks that rely on reliable mobile and portable sources of power and energy. With a need to reduce the Army logistics burden, shipping more power devices or fuel are not feasible options. The Army desires a solution replenishing high performance batteries as far forward as possible. Since nearly every C2 system requires electrical power in increasing levels of demand, new technologies and concepts are required to provide command and control systems with adequate electrical power. The challenge is in reducing consumption and providing for efficient distribution of electrical power at all echelons in the Battlespace. This concept is an effort to provide network centric management and information technology to the power sources within the brigade area, as a tactical power grid. This program will provide the commander an information technology backbone within the UE to make better management decisions for power and energy resources including battery charging. The outcome of this concept will improve deployability, reduce the power required to sustain operations, reduce the cost of operations and allow the commander to manage the capability of his unit while engaged in Network Centric Warfare. Copyright © 2004 SAE International.

关键词： Secondary batteries

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Research on Behavioral Decision Reward Mechanism of Unmanned Swarm System in Confrontational Environment 7th

Research on Behavioral Decision Reward Mechanism of Unmanned...

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

作者： Zhang, Tingting Lan, Yushi Song, Aiguo School of Command and Control Engineering Army Engineering University Nanjing210017 China The 28th Research Institute of China Electronics Technology Group Corporation National Defence Science and Technology Key Laboratory Nanjing210017 China School of Instrumental Science and Engineering Southeast University Nanjing210096 China

ISBN: (纸本)9783030786144

Unmanned swarm system is regarded as a multi-agent system. At present, many kinds of research use deep reinforcement learning algorithms to solve the problem of multi-agent autonomous behavioral decision. The multi-agent deep deterministic policy gradient (MADDPG) algorithm proposed by Google’s DeepMind team pioneered the application of multiple agents in collaborating and confronting complex scenarios, and can be used to solve the problem of generating an autonomous strategy for unmanned swarm in continuous action space. Experiments show that this algorithm has an unsatisfactory convergence and stability in a competitive environment. The key to multi-agent strategy optimization is the design of the reward function. Thus, the paper improves the algorithm of the reward model for multi-agent behaviors in the confrontational environment. First, the advantages of the MADDPG algorithm for implementing multi-agent behavioral decision in a confrontational environment and the training and execution framework of the reward function are introduced. Second, a per-distance reward mechanism and the addition of distance parameters are proposed to improve the efficiency of the agents’ behavioral decision and solve the delayed reward problem. The global sharing value reward strategy is changed to the experience pool sharing value reward strategy to avoid the phenomenon of lazy agents and improve the efficiency of the agents’ cooperation. Finally, after placing the improved reward mechanism into the MADDPG algorithm, experimental results show that the improved reward function has improved convergence, the algorithm training cycle is shortened, the function curve stabilizes faster, and multiple agents have better performance in the confrontational environment. This paper provides reference methods for intelligent behavioral decisions of the unmanned swarm system. © 2021, Springer Nature Switzerland AG.

关键词： Efficiency

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