Earticle

In this paper, we introduce environmental dynamism as the contextual factor, and conduct an empirical research on relationship of entrepreneurial resource, strategy and performance. We find that entrepreneurial resources including financial resources, human resources, management resources, information resources, technological resources, policy resources have a markedly positive impact on entrepreneurial performance, and the importance order is human resources, financial resources, information resources, technological resources, policy resources, management resources. These resources also have positive impact on entrepreneurial strategy; the richer the financial resources, human resources, information resources are, the easier it is to implement entrepreneurial strategy including cost leadership strategy and differentiation strategy; the richer the management resources are, the easier it is to implement cost leadership strategy; the richer the technological are, policy resources are, the easier it is to implement differentiation strategy. The cost leadership strategy has a lower significant impact on entrepreneurial performance compared with the differentiation strategy, and these strategies all play a partial mediating effect between entrepreneurial resource and entrepreneurial performance. Environmental dynamism plays a negative effect on the influence of financial resources, human resources, management resources, and policy resources on entrepreneurial performance and plays a positive effect on the influence of information resources, technological resources on entrepreneurial performance. Finally, we present research conclusion, trends and perspectives.

To meet the special needs of RFID, it is proposed to use a coupled dynamic integer tent map lattices model (DCML) to implement a Hash function and a random number generation scheme. The scheme is featured with fast operation. Based on this， this paper proposes RFID bi-directional authentication protocol. This has strictly proved by BAN logic. This protocol can resolve eavesdropping, illegal access, location tracking, impersonation and replay attack.

S-box mainly plays the role of confusion in the encryption process as an important component. For the new encryption algorithm PRESENT proposed in 2007, S-box impacts on the security of the encryption algorithm directly. This paper briefly describes the process of PRESENT algorithm and proposes an improved S-box to solve the problem that the original PRESENT S-box has anti-fixed point. Then a random PRESENT encryption algorithm based on dynamic S-box is proposed. The dynamic multiple S-boxes technology is used to implement random PRESENT algorithm, to enhance the security of the cryptographic algorithm. Finally, the security analysis is done, and it suggests that dynamic S-box has a superior ability to resist differential attack and linear attack. By comparison to the diffusion rate of original PRESENT S-box, our dynamic S-box has better avalanche effect.

With the extensive use of UAV, how to make the UAV avoid the obstacle and arrive at the destination has become a hot issue. To make the angle shift minimum, a method on dynamic guidance obstacle avoidance of UAV based on the minimum angle shift is proposed, considering the constraints such as the completion time of obstacle, the motor performance, the direction of velocity after obstacle avoidance and so on, determining the range of guidance parameters. In the meanwhile, the obstacle method is extended to 3D-space based on 2D. Moreover, numerical simulations are carried out to verify the effectiveness of the method.

Wireless Mesh Networks (WMNs) are have secured a significant position in the technological world due to their unique characteristics. These networks are dynamic, self-healing, and self-organizing in which the nodes reflexively set-up and maintain mesh connectivity with each other. Having these characteristics, WMNs enjoy great benefits such as low-upfront costs, reliability, and prompt troubleshooting. Despite all these fringe benefits, one of the greatest challenges in wireless mesh networks is that they are exposed to a number of hazardous security vulnerabilities. In this paper we investigate WMNs security attacks, security goals and various defense mechanisms for defending the attacks.

This paper is intended to investigate the effects of infected external computers and removable storage media on the spread of computer viruses. To this end, a new dynamical model, which has four compartments, is proposed. The analysis of the model shows that the unique equilibrium is globally asymptotically stable. This result is well suited for numerical implementation. An illustration of the influences of infected external computers and removable storage media is also included. Furthermore, it is found that (1) infected external computers and removable storage media can both accelerate the viral spread; (2) infected removable storage media can pose a greater threat than infected external computers.

This thesis proposes a method to detect financial fraud by dividing users’ financial transactions into a normal area and an abnormal area, using SVDD and train the areas as such fraud evolves in terms of complexity. The existing financial industry detects electronic financial frauds using FDS, but its false positive rate is high enough to require additional authentications of user information. It causes customers inconveniences and does not always detect those sophisticated financial frauds. In order to resolve the aforementioned issues, this study proposes a method to detect such potential frauds by profiling user financial transaction data including user activities, device information, and transaction patterns and vectorizing them into a normal area and an abnormal area using SVDD.

Primitive root is a fundamental concept in modern cryptography as well as in modern number theory. Fermat prime numbers have practical uses in several branches of number theory. As of today, there is no simple general way to compute the primitive roots of a given prime, though there exists methods to find a primitive root that are faster than simply trying every possible number. We prove the equivalence between the primitive roots and the quadratic nonresidues modulo Fermat prime numbers. Therefore, the problem of searching primitive roots is transformed into solving the quadratic residues modulo Fermat primes, which is a much easier problem, having very simple solutions. Theoretical analysis and experimental results verify our conclusion.

With the rapid development of the Internet, the antivirus software of the network is always emerging and constantly changing. Traditional detection methods can’t effectively kill the new viruses and malicious software, the complexity of which also makes itself easy to be attacked by malicious software. The emergence of cloud computing has changed the status quo. Therefore, the architecture model of virus malware detection based on cloud computing is proposed in this paper. Based on the combination of the method for detecting malicious software virus based on cloud computing and the algorithm analysis theory in machine learning, a new type of distributed CFO algorithm is proposed, and the closed environment of cloud computing virtual machine nodes is used to realize dynamic behavior monitoring to the virus malware, then the distributed fluctuations PIF algorithm is used to describe the process of dynamic analysis and analysis reporting, besides, the wave algorithm is carried out corresponding improvement based on the analysis of the environment. Experimental results show that the model can detect the conditional trigger behavior of virus malware, so as to find the conditions for triggering malicious behavior and the input data that satisfy these conditions and the performance of this monitoring system is greatly improved compared with the common single machine system.