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The investigation of network security, including penetration attacks and potential security mechanisms

TL;DR: In this paper , the authors investigate various types of assaults and different types of security mechanisms that might be applied based on the network's needs and architecture to defend against network security threats.
Abstract: - Security is an important aspect of computing and networking technology. The first and most important aspect of any network design, planning, construction, and operation is the significance of a solid security strategy. Network security is becoming increasingly critical to personal computer users, businesses, and the military. With the introduction of the internet, security has become a big problem. Many security threats were made possible by the internet's structure. Because of the ease with which intellectual property can be obtained via the internet, network security is becoming increasingly important. When an attack is sent via a network, it can take several forms. Knowing the attack mechanisms enables adequate security to evolve. Many businesses protect themselves from the internet by using of Firewalls and encryption methods are examples of security measures. On global networking infrastructures, there is a vast number of personal, commercial, military, and government information, all of which necessitates different security procedures. In this research, we attempt to investigate numerous types of assaults as well as various types of security mechanisms that might be applied based on the network's needs and architecture.
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Book ChapterDOI

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01 Jan 2012

139,059 citations

Journal ArticleDOI
TL;DR: In this paper, a 2.5MJ SMES solenoidal magnet using 2G (SuperPower, YBCO having Tc=90K @ 0T) HTS tape has been evaluated.

8 citations

01 Jan 2014
TL;DR: The multi hole conical probe is extensively employed in the fluid fields for estimating the overall and static pressure and velocity of the vibrant fields and the MATLAB software is performed to assess the efficiency of the artificial neural network for various kinds of material probes.
Abstract: The multi hole conical probe is extensively employed in the fluid fields for estimating the overall and static pressure and velocity of the vibrant fields. The probe is formed by various types of materials such as aluminum, copper and stainless steel which are utilized in the wind tunnel to determine the static and total pressure of the fluid fields. Many varied material probes are engaged to assess their efficiency in execution in the concurrent surroundings at diverse Mach number situations and the yields are calculated according to displacement and stress for diverse material probes. The innovative artificial neural network is effectively employed to forecast the varied material accomplishment of the probe by making use of the LevenbergMarquette algorithm of the artificial neural network, which is applied in the artificial neural network to estimate the yields of the various material probes and the outcomes are subjected to analysis and contrast with the Conjugate Gradient with Beale (CGB) algorithm, Variable Learning Rate Gradient Descent (GDX) algorithm and Scaled Conjugate Gradient (SCG) algorithm of the artificial neural network. The MATLAB software is performed to assess the efficiency of the artificial neural network for various kinds of material probes.

5 citations