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Nowadays, the most important risk and challenge in online system are online scam and phishing attacks. Phishing attacks have been always used to steal important information of users. In this kind of scam, attacker direct victim to fake pages using social engineering techniques, then, starts stealing users important information such as passwords. In order to confronting these attacks, numerous techniques have been invented which have the ability to confront different kinds of these attacks. Our goal in this paper is to introducing new kind of phishing attacks which are not identifiable by techniques and methods which have been invented to confronting phishing attacks. Unlike other kinds of phishing attacks which target all kinds of users, researchers are the victims of these kinds of journal phishing attacks. Finally, we'll introduce an approach based on classification algorithms to identify these kind of journal phishing attacks and then we'll check our suggested approach in error rate. [ABSTRACT FROM AUTHOR]

ABSTRACT In recent years, online social networks (OSNs) have had explosive growth in numbers and popularity. In an OSN, users communicate with each other and share information about themselves. However, limiting the flow of private information across OSNs is very important especially because most OSNs provide insufficient privacy settings to control information leakage. In this paper, we propose a mediated architecture for OSNs that protects users' information from both the OSN provider and unauthorized OSN users. Our proposed approach delegates most of the computation tasks to a semi-trusted proxy server. We exploit a simplified broadcast encryption method in order to design a dynamic, efficient, flexible, and fine-grained (DEFF) control system. In the proposed DEFF system, users are allowed to cryptographically categorize their friends into different relations and to share data with arbitrary groups of them. The results of our analysis indicate that the DEFF system fully protects users' privacy and is very efficient in terms of communication and computation complexities. Copyright © 2012 John Wiley & Sons, Ltd. [ABSTRACT FROM AUTHOR]

Information about the journal is presented, including rules on plagiarism, forced joint authorship and article sale.

We discuss our approach to constructing user requirements whereby users build requirements models themselves. The approach, termed user-led requirements construction (ULRC), is a social process that addresses a major problem: the user-developer culture gap. An important feature of the approach is that we have conducted, with users, an interpretivist empirical evaluation study of its constituent event flow diagram (EFD) modelling method and associated training. The ULRC has also been used in a live environment. The results are that users regard the EFD as effective for the requirements process, the EFD may be used for further studies to deepen our knowledge of the requirements process and the results contribute towards a set of public results for general evaluation and improvement. [ABSTRACT FROM AUTHOR]

The academic world today includes hijacked journals and predatory publishers that operate based on a ‘pay and publish’ model and function for financial reasons only. Here we present lesser known aspects and practices of these journals to researchers, showing the core of the problem. [ABSTRACT FROM AUTHOR]

Abstract: In Online Social Networks (OSNs), users interact with each other by sharing their personal information. One of the concerns in OSNs is how user privacy is protected since the OSN providers have full control over users’ data. The OSN providers typically store users’ information permanently; the privacy controls embedded in OSNs offer few options to users for customizing and managing the dissipation of their data over the network. In this paper, we propose an efficient privacy protection framework for OSNs that can be used to protect the privacy of users’ data and their online social relationships from third parties. The recommended framework shifts the control over data sharing back to the users by providing them with flexible and dynamic access policies. We employ a public-key broadcast encryption scheme as the cryptographic tool for managing information sharing with a subset of a user’s friends. The privacy and complexity evaluations show the superiority of our approach over previous. [Copyright &y& Elsevier]