Special Issue "Security and Privacy in Social Networks and Solutions"

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: 30 April 2020.

Special Issue Editor

Prof. Dr. Christos Kalloniatis
E-Mail Website
Guest Editor
Department of Cultural Technology and Communication, University of the Aegean, 81100 Mytilene, Greece
Interests: security and privacy by design; social informatics; cloud computing

Special Issue Information

Dear Colleagues,

The advances in social networks have brought fundamental changes to users’ social life both online and offline, providing a technological field not only for their social interaction and communication but also for their resources and socio-economical practices, producing big data as well. However, besides these outstanding opportunities; the online content distribution within social networks; and their dynamic, complex, and heterogenous nature, several security and privacy issues have emerged. These issues are both associated with users’ social and technological boundaries and with providers’ current services and solutions, including the access, collection, storage, editing, and disclosure of personal information, often by third parties; data loss and data breaches; the loss of direct control from local to remote cloud servers; multiple legal jurisdictions; virtualization that brings new challenges to user authentication and authorization; non-technical issues related to the technical solutions; the sharing of platforms between users; and non-compliance with enterprise policies and legislation. Thus, security and privacy prerequisites, in order to address these issues and protect users’ privacy efficiently, are still not fully defined, and therefore a number of new services and security and privacy solutions are required.

Potential topics include but are not limited to the following:

  • Security and privacy risks in social networking;
  • Security and privacy engineering methods and tools for social networks;
  • Adaptive privacy in social networking;
  • Digital forensics for social networks;
  • Reliability, security, availability, and safety in social networking;
  • Mobile social networks security and privacy;
  • Methods and tools for social network penetration and protection;
  • Social network mining and data storage;
  • Trust and reputations in social networking;
  • Detection, analysis, prevention of spam, phishing, and misbehaviour in social networking.

Prof. Dr. Christos Kalloniatis
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Future Internet is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Social networking
  • Security and privacy risks
  • Privacy concerns
  • Security and privacy engineering methods and tools
  • Social network protection
  • Social informatics

Published Papers (1 paper)

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Research

Open AccessArticle
Mitigating Webshell Attacks through Machine Learning Techniques
Future Internet 2020, 12(1), 12; https://doi.org/10.3390/fi12010012 - 14 Jan 2020
Abstract
A webshell is a command execution environment in the form of web pages. It is often used by attackers as a backdoor tool for web server operations. Accurately detecting webshells is of great significance to web server protection. Most security products detect webshells [...] Read more.
A webshell is a command execution environment in the form of web pages. It is often used by attackers as a backdoor tool for web server operations. Accurately detecting webshells is of great significance to web server protection. Most security products detect webshells based on feature-matching methods—matching input scripts against pre-built malicious code collections. The feature-matching method has a low detection rate for obfuscated webshells. However, with the help of machine learning algorithms, webshells can be detected more efficiently and accurately. In this paper, we propose a new PHP webshell detection model, the NB-Opcode (naïve Bayes and opcode sequence) model, which is a combination of naïve Bayes classifiers and opcode sequences. Through experiments and analysis on a large number of samples, the experimental results show that the proposed method could effectively detect a range of webshells. Compared with the traditional webshell detection methods, this method improves the efficiency and accuracy of webshell detection. Full article
(This article belongs to the Special Issue Security and Privacy in Social Networks and Solutions)
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