Aim Journal of Cyber Security and Mobility provides an in-depth and holistic view of security and solutions from practical to theoretical aspects. It covers topics that are equally valuable for practitioners as well as those new in the field. Scope The journal covers security issues in cyber space and solutions thereof. As cyber space has moved towards the wireless/mobile world, issues in wireless/mobile communications will also be published. The publication will take a holistic view. Some example topics are: security in mobile networks, security and mobility optimization, cyber security, cloud security, Internet of Things (IoT) and machine-to-machine technologies.

Aims: Provides an in-depth and holistic view of security and solutions from practical to theoretical aspects.Covering topics that are equally valuable for practitioners as well as those new in the field. Scope: This journal covers security issues in cyber space and solutions thereof. As cyber space has moved towards the wireless/mobile world, issues in wireless/mobile communications will also be published. The publication will take a holistic view. Some example topics are: security in mobile networks, security and mobility optimization, cyber security, cloud security, Internet of Things (IoT) and machine-to-machine technologies.

The Long Term Evolution (LTE) is the newly adopted standard technology to offer enhanced capacity and coverage for mobility networks, providing advanced multimedia services beyond traditional voice and short messaging traffic for billions of users. This new cellular communication system is the natural evolution of 3rd Generation Partnership Project (3GPP)-based access networks, enhancing the Universal Mobile Telecommunications System (UMTS). LTE introduces a substantial redesign of the network architecture resulting in the new eUTRAN (Enhanced Universal Terrestrial Radio Access Network) and the EPC (Enhanced Packet Core). In this context, the LTE Radio Access Network (RAN) is built upon a redesigned physical layer and based on an Orthogonal Frequency Division Multiple Access (OFDMA) modulation, which features robust performance in challenging multipath environments and substantially improves spectrum efficiency and capacity. Moreover, the new all-IP core architecture is designed to be more flexible and flatter, with a logical separation of the traffic related functions and the control and signaling functions. Over the last few years, researchers have published and presented potential vulnerabilities and attacks against the second generation of mobile networks, the Global System for Mobile Communications (GSM). Although technology, encryption schemes and security in general have drastically improved in LTE with respect of legacy GSM networks, security research should continue proactively working towards secure and resilient mobile communication systems. In this context, the cyber-security landscape has changed drastically over the last few years. It is now characterized by large scale security threats and the advent of sophisticated intrusions. These new threats illustrate the importance of strengthening the resiliency of mobility networks against security attacks, ensuring this way full mobility network availability. This special issue of the Journal of Cyber Security and Mobility addresses research advances in mobility security for LTE next generation mobility networks and other wireless communication systems. Two of the papers in this special issue analyze the threat of radio jamming. Lichtman et al. introduce a sophisticated reinforcement learning anti-jamming technique aimed at protecting frequency hopping wireless systems from jamming attacks while maximizing link throughput. Similarly, Kornemann et al. introduce a jamming detection mechanism for Wireless Sensor Networks (WSN), which are known to be substantially vulnerable to this type of attack. Focusing specifically on LTE mobile networks, Jermyn et al. perform a thorough simulation analysis of potential Denial of Service attacks against the eUTRAN by means of a botnet of malware-infected mobile terminals saturating the radio interface with large amounts of traffic. This type of malware infections and the connections of such a botnet to the malicious command and control servers could be detected with the system introduced by Bickford et al. This advanced detection scheme is capable to detect malicious activity in mobile terminals and proceed to mitigate and block the malicious applications. Finally, Alzahrani et al. present a very detailed and thorough analysis of the security research published over the last few years on mobile malware analysis, detection and mitigation. The valuable insights in this paper set a common ground and framework to facilitate research in this area, as well as to share results and easily replicate experiments.

Cybersecurity is a global issue with local impact. When cyber security breaches occur, it impacts on society at all levels: Users lose trust in digital platforms, companies lose money, and public institutions are discredited. Over the last years, cybersecurity as a concept has changed significantly and has become a broad area covering for example crime, espionage, privacy inva- sions, and technical solutions for prevention of attacks on users, individuals as well as industry/companies. Along with this, privacy has become a central element in the discussion mirroring the fact that users have become much more aware of the consequences of disclosure of private data to the online businesses and market. On the supplier side new as old web- and cloud- based services are aware that they are reliant on the trustworthiness they can provide to the customers. Trust is therefore an underlying element central for any detection, managing or prevention technologies being developed within the field of cybersecurity and privacy. This special issue has seven different contributions addressing aspects of the broad area of cybersecurity. 1. On the Use of Machine Learning for Identifying Botnet Network Traffic 2. Practical Attacks on Security and Privacy Through a Low-Cost Android Device 3. Comparative Investigation of ARP Poisoning Mitigation Techniques Using Standard Testbed for Wireless Networks 4. Information Security Risk Assessment of Smartphones Using Bayesian Networks 5. Digital Forensic Investigations: Issues of Intangibility, Complications and Inconsistencies in Cyber-Crimes 6. Factors Influencing the Continuance Use of Mobile Social Media: The Effect of Privacy Concerns 7. Confidentiality in Online Social Networks; A Trust-based Approach

We are now in the era of the Big Data revolution where nearly every aspect of computing engineering is driven by increasingly large, complex, and diverse datasets. Big Data presents not only a world of new opportunities but also new challenges. With threats multiplying exponentially, the ability to gather and analyze massive information will be a decisive factor in the battle against malicious software and adversaries. It is natural to consider a cloud-computing environment to address the computational requirements for big data analytic applications. However, it is equally important to address the security concerns in terms of policies, technologies, and controls deployed to protect data, applications, and the associated infrastructure of cloud computing. In this special issue of JCSM on Big Data, the article by Miller et al. focuses on technical and policy infrastructure for digital forensic analysis in the cloud as cyber-crime is a growing trend around the world. Further, the massive collections of imagery on the Internet have inspired a stream of interesting work on image processing related big data topics. The article by Shen et al. describes their novel structure-based image completion algorithm for object removal while maintaining visually plausible content with consistent structure and scene texture in photos. Such novel technique can benefit a diverse range of applications, from image restoration, to privacy protection, to photo localization. A surge of graph-computing frameworks has appeared in both academia and industry to address the needs of processing complex and large graph-structured datasets, where each has its respective benefits and drawbacks. Leveraging the right platform for the right task is daunting for users of these frameworks. A review by Zhao et al. provides the context for selecting the right graph-parallel processing framework given the tasks in hand. They have studied several popular distributed graph-computing systems aiming to reveal the characteristics of those systems in performing common graph algorithms with real-world datasets. Their findings are extremely informative.

Aim: Provides an in-depth and holistic view of security and solutions from practical to theoretical aspects.Covering topics that are equally valuable for practitioners as well as those new in the field. Scope: This journal covers security issues in cyber space and solutions thereof. As cyber space has moved towards the wireless/mobile world, issues in wireless/mobile communications will also be published. The publication will take a holistic view. Some example topics are: security in mobile networks, security and mobility optimization, cyber security, cloud security, Internet of Things (IoT) and machine-to-machine technologies.

Aim: Provides an in-depth and holistic view of security and solutions from practical to theoretical aspects. Covering topics that are equally valuable for practitioners as well as those new in the field. Scope: This journal covers security issues in cyber space and solutions thereof. As cyber space has moved towards the wireless/mobile world, issues in wireless/mobile communications will also be published. The publication will take a holistic view. Some example topics are: security in mobile networks, security and mobility optimization, cyber security, cloud security, Internet of Things (IoT) and machine-to-machine technologies.

Traditional marketing techniques have become outdated by the emergence of the internet, and for companies to survive in the new technological marketplace, they must adopt digital marketing and business analytics practices. Unfortunately, with the benefits of improved storage and flow of information comes the risk of cyber-attack. Business Analytics and Cyber Security Management in Organizations compiles innovative research from international professionals discussing the opportunities and challenges of the new era of online business. Outlining updated discourse for business analytics techniques, strategies for data storage, and encryption in emerging markets, this book is ideal for business professionals, practicing managers, and students of business.

Aims: Provides an in-depth and holistic view of security and solutions from practical to theoretical aspects.Covering topics that are equally valuable for practitioners as well as those new in the field. Scope: This journal covers security issues in cyber space and solutions thereof. As cyber space has moved towards the wireless/mobile world, issues in wireless/mobile communications will also be published. The publication will take a holistic view. Some example topics are: security in mobile networks, security and mobility optimization, cyber security, cloud security, Internet of Things (IoT) and machine-to-machine technologies.

This book presents state-of-the-art contributions from both scientists and practitioners working in intrusion detection and prevention for mobile networks, services, and devices. It covers fundamental theory, techniques, applications, as well as practical experiences concerning intrusion detection and prevention for the mobile ecosystem. It also includes surveys, simulations, practical results and case studies.