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Identity and access management (IAM) system usually consist of predefined tasks as an information security system. Themain task is the authentication, since it is responsible for user identity proving for service providers that corporate with (IAM).This paper provides a review on intelligent authentication research applicable to IAM systems. These researches areevaluated according to the proposal of intelligent authentication key factors. Depending on this evaluation it could not be foundresearch implement an authentication that satisfies all these key factors.

English is getting more crucial to be mastered since its important part in the world nowadays. It is not only as a means of communication but also a means transferring knowledge, news, and technology around the world. There are four basic skills in English such as listening, speaking, reading, and writing, every students must have problem in learning and mastering those skill. But writing is the main issue to be discussed in this article. In writing, some of the writer’s students feel difficult to determine the topic when they want to write, they are hardly to complete a writing paper because they run out of idea. In this case the students need to absorb some information to understand a word, including how to combine a word with the other words. Therefore the teacher should have a strategy to get the students understanding and overcome their problems.Teaching is about just how to encourage the learners to achieve their goals and other times it requires that we actually facilitate resources and foster experiences so students can learn, continue learning and love the process. It is an art of the teacher to know how to make the students able to create knowledge of their own. Brainstorming is one of the teaching techniques in writing that can encourage the students to think about the topic as many as possible. This technique is help the students to enrich their vocabularies then create an idea become a writing composition. By using this strategy the students will be able to improve their writing skill. Brainwriting is an alternative method to brainstorming that tries to encourage a more uniform participation within a group. Like brainstorming, it is designed to generate lots and lots of ideas in a short amount of time.

Purpose:This study focuses on an online Arabic learning through synchronous and asynchronous approaches. Meanwhile, the aims of this study are; 1) describing implementation of synchronous and asynchronous online Arabic learning in higher education, 2) investigating its advantages and disadvantages, 3) offering solutions in learning Arabic through e-learning. Design/methodology/approach:This is a descriptive qualitative research that applies an observation method, interview, and documentation to collect the data. Afterwards, identity method is used to investigate the data. Then, triangulation is applied for validity check Findings/result:The result shows that synchronous e-learning is the most widely applied in learning Arabic for IPIREL UMY (75 %) and IPIEF UMY (62%). On the contrary, Arabic learning (IBA) at UINSA tends to apply asynchronous e-learning (75%). Originality/value:It is important for lecturer to prepare the best method and media for distance learning. By understanding what students need, lecturer may determine how important for students to learn Arabic through synchronous or asynchronous approach. Paper type:Research paper

Artificial intelligence has been widely used in various applications such as health and safety, smart homes, greenhouses, and industrial application. It has been increasingly utilized in the industry owing to its benefits in terms of enhancing the overall performance of a given system. This study appeared from a real need in many local industries. In this paper, a prototype system has been implemented for artificial control on the temperature of the industrial panel. The paper includes two control systems executed; classical PID (Proportional Integral Derivative) and fuzzy logic with a comparison between them. Fuzzy control algorithm is developing based on Sugeno method inside PLC (Programmable Logic Controller). The connection of PLC with sensors is used by the Modbus protocol. Arduino UNO and Ethernet shield are used to connect the sensor to the router and then to PLC by Modbus.

The utilize of the web has made humans and companies powerless to exterior assaults. Indeed, cyber problems essentially influence information frameworks with distinctive types of malicious attacks such as spyware, virus, social engineering, etc. The Internet e-mail service, in particular, has become one of the most dependable methods of communication among people, institutions, and companies. The development of digital signatures to e-mail services has raised the e-mail security, which led to replacing the standard mailing of registered letters. Unfortunately, the process of sending and receiving e-mails has created a negative impact means on security and privacy from cybercriminals by diffusing spam and malware. As a result, e-mail hosts are constantly under attack by malicious programs that are often attached to e-mails. In this paper, the simulation model and prototype of an email traffic monitor developed and tested in order to prove the ability of our proposed method for detecting new viruses. This paper states the success possibility of this new method based on the simulation results. The results of the analysis suggest that the Cyber Security Modeling Language (CySeMoL) model has a good performance of operating system vulnerability prediction. At last, some useful suggestions in the context of the CySeMoL model are presented.

In the past two decades, the Internet has become as open, publicly and widely used as a source of data transmission and exchanging the messages between criminals, terrorists and those who have illegal motivations. Moreover, exchanging important data between various military and financial institutions, even ordinary citizens. From this view, there is one of the important means of exchanging information widely used on the Internet medium is e-mail. Email messages are digital evidence that has been become one of the important means to adopt by courts in many countries and societies as evidence relied upon in condemnation. This paper presents a distinct technique for classifying emails based on data processing and mining, trimming, refinement, and then adapts several algorithms to classify these emails and then using SWARM algorithm to obtain practical and accurate results also using hybrid English lexical dictionary SentiWordNet3.0 for email forensic analysis then deal with a machine learning algorithm. The proposed system is capable of learning in an environment with large and variable data. To test the proposed system, have to select available data which Enron Data set. A high accuracy rate (95%) was obtained, which is higher than the classification rates mentioned in previous research papers presented in section 2 in this paper.

This paper involves a determination of paracetamol using less environment harmful reagent; the hydroxy analog of the pharmaceutical naproxen replaced a chemical reagent in which it is used as a coupling agent for the diazotized p-aminophenol (the hydrolysis product of paracetamol), the paper offers a determination of an analgesic paracetamol in the presence of high content of another analgesic. Paracetamol azo-dye exhibits maximum absorption at 500 nm. Beer's law is obeyed over the concentration range from 10 to 650 µg/20ml, (i.e. 0.5-32.5 ppm) with a good sensitivity (molar absorptivity 1.2x104 l.mol-1.cm-1), good precision (RSD better than ±0.275%) and high accuracy (relative error less than + 0.77%), Sandell's sensitivity index is 0.0124µg.cm-2, the limit of detection (LOD) is 0.0030 µg/ml and the limit of quantitation (LOQ) is 0.0101 µg/ml. The method has been successfully applied for determination for paracetamol in dosage forms and its already applicable for the determination of paracetamol in presence of naproxen.

The importance of big data implementations is increased due to large amount of gathered data via the online gates. The businesses and organizations would benefit from the big data analysis i.e. analyze the political, market, and social interests of the people. The Internet of Things (IoT) presents many facilities that support the big data transfer between various Internet objects. The integration between the big data and IoT offer a lot of implementations in the daily life like GPS, Satellites, and airplanes tracking. There are many challenges face the integration between big data transfer and IoT technology. The main challenges are the transfer architecture, transfer protocols, and the transfer security. The main aim of this paper is to review the useful architecture of IoT for the purpose of big data processing with the consideration of the various requirements such as the transfer protocol. This paper also reviews other important issues such as the security requirements and the multiple IoT applications. In addition, the future directions of the IoT-Big data are explained in this paper.