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Journal: Ali Al-yousef , Yousef Aljaraideh, Mamoon Obiedat, Eyad Barakat, Ahmad Habboush

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Journal: International journal of engineering and technology(UAE)

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Journal: International Journal of Computer Applications in Technology

The malware would offer the attacker or an un-legitimate user to access the device without authorization as a legitimate user. In this paper, we will discuss how malware hides inside images which can transfer between computers in the background of any system. Also, we will discuss how deep transfer learning will detect malware that hides under images. Lastly, we will make a comparison between deep transfer’s models to detect malware in images. We also conclude which model is the best to use in the system to detect malware

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Journal: 2nd International Conference on Data Science and Applications (ICDSA 2021)

In this paper, we examined the effect on network performance of the various strategies an attacker could adopt to launch Man-In The Middle (MITM) attacks on the wireless network, such as fleet or random strategies. In particular, we're focusing on some of those goals for MITM attackers - message delay, message dropping. According to simulation data, these attacks have a significant effect on legitimate nodes in the network, causing vast amounts of infected packets, end-to-end delays, and significant packet loss.

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Journal: The International Journal of Network Security & Its Applications (IJNSA), May 2021, Volume 13, Number 3

In this paper, we will discuss prediction methods to restrict the spread of the disease by tracking contact individuals via mobile application to individuals infected with the COVID-19 virus. We will track individuals using bluetooth technology and then we will save information in the central database when they are in touch. Monitoring cases and avoiding the infected person help with social distance. We also propose that sensors used by people to obtain blood oxygen saturation level and their body temperature will be used besides bluetooth monitoring. The estimation of the frequency of the disease is based on the data entered by the patient and also on the data gathered from the users who entered the program on the state of the disease. In this study, we will also propose the best way to restrict the spread of COVID-19 by using methods of artificial intelligence to predict the disease in Jordan using Tensorflow.

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Journal: International Journal of Modeling, Simulation, and Scientific Computing

This study aims to compare the efficiency of Intuitionistic Fuzzy Neural Network with Genetic Algorithm (IFNN-GA) in detecting real-time traffic signs in different road conditions compared with the human eyes in order to prove that they are more efficient in understanding the surrounding environment, support safe driving, and overcome human defects. Highlighting the driver's obstacles such as weather conditions, uneven lighting, shadows everywhere, intensity and brightness fluctuations and contrast in shape and texture of traffic signs and time spent for entry and exit. In order to realize all aspects of the road, a model was proposed: Intuitionistic Fuzzy Neural Network with Genetic Algorithm (IFNN-GA).

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Journal: , Journal of Telecommunication, Electronic and Computer Engineering (JTEC), Volume 10 Issue 2-4 Pages 193-196,

In this paper will discuss and examine message transmission from the attacker process within the scope of Delay Tolerance Networks (DTNs). DTNs are a new area of research that can be developed in networking. Delay-tolerant networks are those networks that may not have a complete path between networks end-to-end via direct links and may be under development for a long time. As part of the improvement, we will compare a survey of DTN routing protocols with a real region area, and then taking into account the possibilities of detecting the presence of areas of weakness that lead to penetration, which will occur in the nodes while on the move. In this study, we will use the ONE simulator to track messages within nodes

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Journal: Computer and Information Science , Vol. 14, No. 2 (2021)

Vehicular Ad hoc Networks (VANETs) is new sort in wireless ad-hoc networks. Vehicle-to-Vehicle (V2V) communication is one of the main communication paradigms that provide a level of safety and convenience to drivers and passengers on the road. In such environment, routing data packet is challenging due to frequently changed of network topology because of highly dynamic nature of vehicles. Thus, routing in VANETs in require for efficient protocols that guarantee message transmission among vehicles. Numerous routing protocols and algorithms have been proposed or enhanced to solve the aforementioned problems. Many position based routing protocols have been developed for routing messages that have been identified to be appropriate for VANETs. This work explores the performances of selected unicast non-delay tolerant overlay position-based routing protocols. The evaluation has been conducted in highway and urban environment in two different scenarios. The evaluation metrics that are used are Packet Delivery Ratio (PDR), Void Problem Occurrence (VPO), and Average Hop Count (AHC).

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Journal: Vol. 13 No. 2

this study aimed to identifying the impact of social media on electronic loyalty to the Jordanian consumer. The current study is based on four dimensions of social media for measuring and it’s as follows: informatics, interaction, credibility and content sharing. This study has also followed two dimensions for measuring electronic loyalty, namely; electronic trust and electronic satisfaction. The study was conducted on a sample of 739 Jordanian consumers who use social media for purchasing goods and services on a regular basis. This study has found that there are middle levels of average for three dimensions of social media (informatics, interaction and content sharing), while the level of credibility dimension was high. Also the study results found out that the electronic loyalty and its dimensions (electronic trust and electronic satisfaction), they came as high levels. Results also indicated that there is a significant effect of social media on electronic loyalty of Jordanian consumer, and there is a significant effect for social media on electronic trust and electronic satisfaction of Jordanian consumer.

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Journal: INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME 9, ISSUE 02, FEBRUARY 2020