Volume 11, Issue 4, August 2020

Artificial Intelligence Based Detection and Prevention Techniques Against DDOS Attacks

Anam Shahzadi, Anam Fariya Bashir

Department of Computer Science and Engineering, UET, Lahore

Abstract- DDoS attacks have been a great threat to the Internet that can bring huge losses to companies and governments by threatening the network. Distributed denials of service attacks have a major impact on the cyber world. As far as cyber-attack is concerned, it stops the normal functioning of the organization by Internet protocol (IP) spoofing, consuming memory resources, bandwidth overflow, and causes a huge loss to different organizations. The emergence of new artificial intelligence technologies have increased the overall ratio and effect of the DDoS attack, and detecting and preventing the attack has become more difficult. Because DDoS traffic patterns match normal traffic. There has been a lot of related work that focused on detecting DDoS attacks to protect users from them. Some artificial intelligence techniques used to detect/prevent DDoS attacks. In the paper, we review the most commonly used and applied DDoS attacks defense mechanisms and methods, which use artificial intelligence techniques. Paper also covers DDoS attack types and classification, trends and evaluation methods. The comparison of different techniques will give a better review for prevention and detection of DDoS attacks.

Keywords- DDoS (Distributed Denial of Services) Attacks Detection, Prevention and Artificial Intelligence Techniques

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Structural Analysis Regarding to the Influence of Increases in the Compressive Strength of Reinforced Concrete Structures in Standard Buildings of Different Number of Floors

Aline C. K Nascimento, Luiza G. Bello, Gilberto A. Silva Neto, Eveline R. de Siqueira, Bianca B. O. da Cruz

Federal University of Technology - Paraná, Pato Branco, PR 85503-390 BRA
Department of Materials Engineering and Construction, Federal University of Minas Gerais, Belo Horizonte, MG, 31270-010 BRA
Paranaense University, Francisco Beltrão, PR 85601-000 BRA
Unicesumar University, Maringá, PR 87050-900 BRA

Abstract- High Performance Concretes (HPC) are still unusual in Brazilian structures. However, they can bring several benefits such as: reduction of structural elements sections, optimizing the floor area and height; reduction of maintenance; and durability increases. This study aimed analyzing the influence of concrete strength and building’s height, in structural parameters, utilizing the Eberick V8 software. The performance improvement is more significant the higher the building gets. Related to the global stability coefficient (γz) in the x direction, this parameter reduced when the compressive strength of the concrete increased (25, 50 and 80 MPa), being this reduction greater when the building had more floors. Regarding to the horizontal displacements, in both directions, this parameter reduced with the increase of the compressive strength and increased with the increase of the quantity of floors. Therefore, the use of HPC demonstrates to improve the conditions of global stability and to reduce horizontal displacements with better results in larger buildings.

Keywords- Displacements, Global Stability, High Performance Concrete and Structural Design

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Functionalization of Bilayer Graphene-like AlN Material for Li-Ion Battery Applications; an Ab Initio Study

Rasool Akhtar, Irfan Ahmed, Muhammad Rafiqu, Abdul Latif Abro

Department of Electrical Engineering, Mehran University of Engineering and Technology, SZAB, Campus, Khairpur Mirs', Pakistan

Abstract- In recent times, graphene is seen as a prospective "wonder material" that may adjust the Li-molecule battery (LIB) field and can make basic development in the field of LIB. Notwithstanding, regardless of colossal proportion of work being finished every year in this field, handy plans of graphene like 2D materials-based batteries are in their evolving state without having commercial scale creation as of not long ago. In this assessment, starting is made with a description of arrangement of Li-molecule batteries’ working and noteworthy thoughts, for instance, the solid electrolyte interface (SEI), trailed by the assessments on graphene and graphene composites (i.e., Boron and Nitrogen excited) as anode materials, highlighting the massiveness of graphene-like 2D materials as another approach towards the combination of different materials, the focal points and impediments of such materials. Consequently, this assessment may convey a suitable way out for arranging viable cathode materials reliant on graphene-like 2D materials to be utilized in Li-molecule batteries.

Keywords- Li-ion Batteries, B and N Intercalation and Graphene-like 2D Materials

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Software Vulnerabilities and Security Testing Tools: A Review

Komal Shahzadi, Rabia Nadeem

Department of Computer Science, University of Engineering and Technology, Lahore-Pakistan

Abstract- The reliable development within the software segment of the world economies have pulled in both targeted on and mass-scale attacks by cybercriminals. Due to the software development complexity and the growing number of advanced attacks, it is troublesome to make secure and reliable software. Program vulnerability continues to be a major problem worldwide among industry players due to the numerous security threats it presents to developers and end-users. Automatic vulnerability scanners are popular tools among developers because they help to locate vulnerabilities. Their aim is to highlight the software from either the viewpoint of the attacker by giving out a numerous amount of usage to it. Although earlier studies have introduced numerous tools and methods that could be used to detect or remove vulnerabilities of applications, these researchers have highlighted several particular questions which need to be addressed: (1) What techniques can also be used in detection of vulnerability in what kind of application. (2) How could a particular tool find any kind of defect/vulnerability in the software? To answer these concerns, we conducted a thorough review on different approaches and techniques used for vulnerability detection to find out their similarities and differences. The research findings also take a glance at the most efficient methodology and tool for identifying vulnerabilities based on some evaluation measures including: detection rate, user friendliness, features, platform independence and testing techniques that are used as there is no such tool evaluation previously available. We try to identify a cost-effective and universal vulnerability detection tool that software developers can easily use to detect vulnerabilities at the development stage.

Keywords- Vulnerabilities, Attacks, Security Tools and Performance

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Thermal and Computational Fluid Dynamics Analysis of an Oil Fired Crucible Furnace During Aluminum Smelting

Oluwasegun Biodun Owolabi, Lawrence. Opeyemi. Osoba and Samson Oluropo Adeosun

Department of Metallurgical and Materials Engineering, University of Lagos, Akoka Yaba Lagos, Nigeria

Abstract- This paper examined the thermal analysis of an Oil (fuel) fired crucible furnace used for aluminum secondary smelting. Computational fluid dynamics (CFD) was explore to analyzed the effect of operating parameters on the components (furnace casing, refractory bricks and crucible pot) of a crucible furnace. Knowledge based software such as Solid Works and ANSYS workbench 14.0 were employed for the modeling and simulation of both CFD and transient thermal analysis in the oil fired crucible furnace. A temperature of 350oC was used as initial temperature for preheating, 750oC as the pouring temperature. Result from simulation gives the maximum heat flux and directional heat flux in the furnace system as 8.7596W/mm2 and 8.0349 W/mm2 respectively. CFD model shows the distributional effect of the process parameter on the furnace components. Comparatively, varied effects in furnace components is as a result of furnace factors and the environment. Experimental result of elemental composition of aluminum dross obtained from melting aluminum scrap was used to validate the model and simulation at varied temperature.

Keywords- Furnace, Crucibles, Secondary Aluminum Smelting, Thermal Loss and Computational Fluid Dynamics

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