Who needs a doctor anymore?:risks and promise of mobile health Apps

Personal health monitoring is a hot topic. With bracelets and other wearables, we keep track of our heart rate, exercising, sleep, and more. We are becoming our own doctors and coaches. Improving citizens' health brings the society significant savings, besides healthier citizens. Health data also has important value beyond healthcare, e.g. in insurance and advertising. However, risks on privacy, data management, information interpretation and incorrect health diagnosis and treatments exist. This panel discusses the promise and risks related to mobile health apps, highlighting both research and industrial aspects related to the current trends

Anonymous subject identification and privacy information management in video surveillance

The widespread deployment of surveillance cameras has raised serious privacy concerns, and many privacy-enhancing schemes have been recently proposed to automatically redact images of selected individuals in the surveillance video for protection. Of equal importance are the privacy and efficiency of techniques to first, identify those individuals for privacy protection and second, provide access to original surveillance video contents for security analysis. In this paper, we propose an anonymous subject identification and privacy data management system to be used in privacy-aware video surveillance. The anonymous subject identification system uses iris patterns to identify individuals for privacy protection. Anonymity of the iris-matching process is guaranteed through the use of a garbled-circuit (GC)-based iris matching protocol. A novel GC complexity reduction scheme is proposed by simplifying the iris masking process in the protocol. A user-centric privacy information management system is also proposed that allows subjects to anonymously access their privacy information via their iris patterns. The system is composed of two encrypted-domain protocols: The privacy information encryption protocol encrypts the original video records using the iris pattern acquired during the subject identification phase; the privacy information retrieval protocol allows the video records to be anonymously retrieved through a GC-based iris pattern matching process. Experimental results on a public iris biometric database demonstrate the validity of our framework

Moving towards Cloud Security

Cloud computing hosts and delivers many different services via Internet. There are a lot of reasons why people opt for using cloud resources. Cloud development is increasing fast while a lot of related services drop behind, for example the mass awareness of cloud security. However the new generation upload videos and pictures without reason to a cloud storage, but only few know about data privacy, data management and the proprietary of stored data in the cloud. In an enterprise environment the users have to know the rule of cloud usage, however they have little knowledge about traditional IT security. It is important to measure the level of their knowledge, and evolve the training system to develop the security awareness. The article proves the importance of suggesting new metrics and algorithms for measuring security awareness of corporate users and employees to include the requirements of emerging cloud security

Where To Prosecute Cybercrimes

Selecting the appropriate venue for a criminal trial has been a matter of constitutional concern since the founding of the country. The issue is thought to be essential to the fair administration of justice and thus public confidence in the criminal justice system. Constitutionally, crimes must be prosecuted in the states and districts in which they were committed. However, the rise of cybercrime has complicated the venue inquiry: cyberspace, the domain of cybercrime, and physical space have become increasingly decoupled. Consequently, under America’s primary but dated cybercrime law, the ideal location for a trial may not be a constitutionally proper venue. This Note explores several possible approaches to permitting cybercrime trials to take place in the locations where they belong, including through an old but recently revisited judicially-created test for venue and through possible legislative reform

Where To Prosecute Cybercrimes

Selecting the appropriate venue for a criminal trial has been a matter of constitutional concern since the founding of the country. The issue is thought to be essential to the fair administration of justice and thus public confidence in the criminal justice system. Constitutionally, crimes must be prosecuted in the states and districts in which they were committed. However, the rise of cybercrime has complicated the venue inquiry: cyberspace, the domain of cybercrime, and physical space have become increasingly decoupled. Consequently, under America’s primary but dated cybercrime law, the ideal location for a trial may not be a constitutionally proper venue. This Note explores several possible approaches to permitting cybercrime trials to take place in the locations where they belong, including through an old but recently revisited judicially-created test for venue and through possible legislative reform

Security and Privacy Issues of Big Data

This chapter revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current chapter with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the chapter. This also discusses current relevant work and identifies open issues.Comment: In book Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence, IGI Global, 201

Integration of situational and reward elements for fair privacy principles and preferences (F3P)

It is widely acknowledged that Information Privacy is subjective in nature and contextually influenced. Individuals value their personal privacy differently with many willing to trade-off of privacy for some form of reward or personal gain. Many of the proposed privacy protection schemes do not give due consideration to the contextual, and more importantly situational influence on privacy. Rather privacy preferences for personal data are configurable for only a limited set of notions that include purpose, recipient, category, and condition. Current solutions offer no, or very limited, support for individual situational privacy preferences. This paper proposes a conceptual framework that allows entities to assign privacy preferences to their personal data items that incorporate situation and reward elements. The solution allows entities to assign trade-off values to their personal data based on the situation and context of the data request. In this manner the data owners set what they perceive as fair privacy practices and preferences for evaluating the worth of their personal data