Police Body Worn Cameras and Privacy: Retaining Benefits While Reducing Public Concerns

Recent high-profile incidents of police misconduct have led to calls for increased police accountability. One proposed reform is to equip police officers with body worn cameras, which provide more reliable evidence than eyewitness accounts. However, such cameras may pose privacy concerns for individuals who are recorded, as the footage may fall under open records statutes that would require the footage to be released upon request. Furthermore, storage of video data is costly, and redaction of video for release is time-consuming. While exempting all body camera video from release would take care of privacy issues, it would also prevent the public from using body camera footage to uncover misconduct. Agencies and lawmakers can address privacy problems successfully by using data management techniques to identify and preserve critical video evidence, and allowing non-critical video to be deleted under data-retention policies. Furthermore, software redaction may be used to produce releasable video that does not threaten the privacy of recorded individuals

Emotions in context: examining pervasive affective sensing systems, applications, and analyses

Pervasive sensing has opened up new opportunities for measuring our feelings and understanding our behavior by monitoring our affective states while mobile. This review paper surveys pervasive affect sensing by examining and considering three major elements of affective pervasive systems, namely; “sensing”, “analysis”, and “application”. Sensing investigates the different sensing modalities that are used in existing real-time affective applications, Analysis explores different approaches to emotion recognition and visualization based on different types of collected data, and Application investigates different leading areas of affective applications. For each of the three aspects, the paper includes an extensive survey of the literature and finally outlines some of challenges and future research opportunities of affective sensing in the context of pervasive computing

The role of social networks in students’ learning experiences

The aim of this research is to investigate the role of social networks in computer science education. The Internet shows great potential for enhancing collaboration between people and the role of social software has become increasingly relevant in recent years. This research focuses on analyzing the role that social networks play in students’ learning experiences. The construction of students’ social networks, the evolution of these networks, and their effects on the students’ learning experience in a university environment are examined

The simpler, the better? Presenting the COPING Android permission-granting interface for better privacy-related decisions

One of the great innovations of the modern world is the Smartphone app. The sheer multitude of available apps attests to their popularity and general ability to satisfy our wants and needs. The flip side of the functionality these apps offer is their potential for privacy invasion. Apps can, if granted permission, gather a vast amount of very personal and sensitive information. App developers might exploit the combination of human propensities and the design of the Android permission-granting interface to gain permission to access more information than they really need. This compromises personal privacy. The fact that the Android is the globally dominant phone means widespread privacy invasion is a real concern. We, and other researchers, have proposed alternatives to the Android permission-granting interface. The aim of these alternatives is to highlight privacy considerations more effectively during app installation: to ensure that privacy becomes part of the decision-making process. We report here on a study with 344 participants that compared the impact of a number of permission-granting interface proposals, including our own (called the COPING interface — COmprehensive PermIssioN Granting) and two Android interfaces. To conduct the comparison we carried out an online study with a mixed-model design. Our main finding is that the focus in these interfaces ought to be on improving the quality of the provided information rather than merely simplifying the interface. The intuitive approach is to reduce and simplify information, but we discovered that this actually impairs the quality of the decision. Our recommendation is that further investigation is required in order to find the “sweet spot” where understandability and comprehensiveness are maximised

The intelligent room for elderly care

Daily life assistance for elderly is one of the most promising and interesting scenarios for advanced technologies in the present and near future. Improving the quality of life of elderly is also some of the first priorities in modern countries and societies where the percentage of elder people is rapidly increasing due mainly to great improvements in medicine during the last decades. In this paper, we present an overview of our informationally structured room that supports daily life activities of elderly. Our environment contains different distributed sensors including a floor sensing system and several intelligent cabinets. Sensor information is sent to a centralized management system which processes the data and makes it available to a service robot which assists the people in the room. One important restriction in our intelligent environment is to maintain a small number of sensors to avoid interfering with the daily activities of people and to reduce as much as possible the invasion of their privacy. In addition we discuss some experiments using our real environment and robot

Oblivion: Mitigating Privacy Leaks by Controlling the Discoverability of Online Information

Search engines are the prevalently used tools to collect information about individuals on the Internet. Search results typically comprise a variety of sources that contain personal information -- either intentionally released by the person herself, or unintentionally leaked or published by third parties, often with detrimental effects on the individual's privacy. To grant individuals the ability to regain control over their disseminated personal information, the European Court of Justice recently ruled that EU citizens have a right to be forgotten in the sense that indexing systems, must offer them technical means to request removal of links from search results that point to sources violating their data protection rights. As of now, these technical means consist of a web form that requires a user to manually identify all relevant links upfront and to insert them into the web form, followed by a manual evaluation by employees of the indexing system to assess if the request is eligible and lawful. We propose a universal framework Oblivion to support the automation of the right to be forgotten in a scalable, provable and privacy-preserving manner. First, Oblivion enables a user to automatically find and tag her disseminated personal information using natural language processing and image recognition techniques and file a request in a privacy-preserving manner. Second, Oblivion provides indexing systems with an automated and provable eligibility mechanism, asserting that the author of a request is indeed affected by an online resource. The automated ligibility proof ensures censorship-resistance so that only legitimately affected individuals can request the removal of corresponding links from search results. We have conducted comprehensive evaluations, showing that Oblivion is capable of handling 278 removal requests per second, and is hence suitable for large-scale deployment

A Collaborative Access Control Model for Shared Items in Online Social Networks

The recent emergence of online social networks (OSNs) has changed the communication behaviors of thousand of millions of users. OSNs have become significant platforms for connecting users, sharing information, and a valuable source of private and sensitive data about individuals. While OSNs insert constantly new social features to increase the interaction between users, they, unfortunately, offer primitive access control mechanisms that place the burden of privacy policy configuration solely on the holder who has shared data in her/his profile regardless of other associated users, who may have different privacy preferences. Therefore, current OSN privacy mechanisms violate the privacy of all stakeholders by giving one user full authority over another’s privacy settings, which is extremely ineffective. Based on such considerations, it is essential to develop an effective and flexible access control model for OSNs, accommodating the special administration requirements coming from multiple users having a variety of privacy policies over shared items. In order to solve the identified problems, we begin by analyzing OSN scenarios where at least two users should be involved in the access control process. Afterward, we propose collaborative access control framework that enables multiple controllers of the shared item to collaboratively specify their privacy settings and to resolve the conflicts among co-controllers with different requirements and desires. We establish our conflict resolution strategy’s rules to achieve the desired equilibrium between the privacy of online users and the utility of sharing data in OSNs. We present a policy specification scheme for collaborative access control and authorization administration. Based on these considerations, we devise algorithms to achieve a collaborative access control policy over who can access or disseminate the shared item and who cannot. In our dissertation, we also present the implementation details of a proof-of-concept prototype of our approach to demonstrate the effectiveness of such an approach. With our approach, sharing and interconnection among users in OSNs will be promoted in a more trustworthy environment