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The integration of new technologies is resulting in an increased demand for security and authentication in all types of data communications. Cybersecurity is the protection of networks and systems from theft. Biometric technologies use unique traits of particular parts of the body such facial recognition, iris, fingerprints and voice to identify individuals' physical and behavioural characteristics. Although there are many challenges associated with extracting, storing and processing such data, biometric and cybersecurity technologies along with artificial intelligence (AI) are offering new approaches to verification procedures and mitigating security risks.

This Code of Practice explains why and how cyber security should be considered throughout a building's lifecycle and explains good practice, focusing on building-related systems and all connections to the wider cyber environment.

The role of data and information and communication technology (ICT) is growing in all areas of transport, with autonomous vehicles among the most advanced examples. This opens up opportunities for malevolent interference, such as remote-control of vehicles for criminal or terrorist purposes or interruption of increasingly interconnected transport systems. It is therefore imperative that cybersecurity is upgraded and designed into new systems.

Security is a defining characteristic of our age and the driving force behind the management of collective political, economic, and social life. Directed at safeguarding society against future peril, security is often thought of as the hard infrastructures and invisible technologies assumed to deliver it: walls, turnstiles, CCTV cameras, digital encryption, and the like. The contributors to Futureproof redirect this focus, showing how security is a sensory domain shaped by affect and image as much as rules and rationalities. They examine security as it is lived and felt in domains as varied as real estate listings, active-shooter drills, border crossings, landslide maps, gang graffiti, and museum exhibits to theorize how security regimes are expressed through aesthetic forms. Taking a global perspective with studies ranging from Jamaica to Jakarta and Colombia to the U.S.-Mexico border, Futureproof expands our understanding of the security practices, infrastructures, and technologies that pervade everyday life.

Contributors. Victoria Bernal, Jon Horne Carter, Alexandra Demshock, Zaire Z. Dinzey-Flores, Didier Fassin, D. Asher Ghertner, Daniel M. Goldstein, Rachel Hall, Rivke Jaffe, Ieva Jusionyte, Catherine Lutz, Alejandra Leal Martínez, Hudson McFann, Limor Samimian-Darash, AbdouMaliq Simone, Austin Zeiderman

Mobile biometrics - the use of physical and/or behavioral characteristics of humans to allow their recognition by mobile/smart phones - aims to achieve conventional functionality and robustness while also supporting portability and mobility, bringing greater convenience and opportunity for its deployment in a wide range of operational environments from consumer applications to law enforcement. But achieving these aims brings new challenges such as issues with power consumption, algorithm complexity, device memory limitations, frequent changes in operational environment, security, durability, reliability, and connectivity. Mobile Biometrics provides a timely survey of the state of the art research and developments in this rapidly growing area.

Radio-frequency identification (RFID) uses electromagnetic fields to automatically identify and track tags attached to objects. The tags contain electronically stored information. RFIDs have been widely used in countless applications such as object tracking, 3D positioning, indoor localization, supply chain management, automotive, inventory control, anti-theft, anti-counterfeit, and access control. The Internet of Things (IoT) promises a huge growth in RFID technology and usage.

Over the last two decades, mobile telecommunications has grown dramatically, from a small niche technology to a massive industry. Mobile telephones are now ubiquitous, and the divisions between PCs, PDAs, mobile telephones and other mobile devices are becoming increasingly blurred. Against this background, the security of information of both the devices themselves, and the information handled by these devices, is becoming ever more important.

As computers are increasingly embedded, ubiquitous and wirelessly connected, security becomes imperative. This has led to the development of the notion of a 'trusted platform', the chief characteristic of which is the possession of a trusted hardware element which is able to check all or part of the software running on this platform. This enables parties to verify the software environment running on a remote trusted platform, and hence to have some trust that the data sent to that machine will be processed in accordance with agreed rules.

Trusted Platform Modules (TPMs) are small, inexpensive chips which provide a limited set of security functions. They are most commonly found as a motherboard component on laptops and desktops aimed at the corporate or government markets, but can also be found on many consumer-grade machines and servers, or purchased as independent components. Their role is to serve as a Root of Trust - a highly trusted component from which we can bootstrap trust in other parts of a system. TPMs are most useful for three kinds of tasks: remotely identifying a machine, or machine authentication; providing hardware protection of secrets, or data protection; and providing verifiable evidence about a machine's state, or attestation.

The interplay of privacy, security and user-determination is an important consideration in the roll-out of biometric technologies. It brings into play requirements such as privacy of biometric data in systems, communication and databases, soft biometric profiling, biometric recognition of persons across distributed systems and in nomadic scenarios, and the convergence between user convenience, usability and authentication reliability.