DHS S&T collaborates with Intelligent Automation, Inc., to develop system that protects operating systems and apps on embedded platforms against cyberattacks.
Under a joint pilot program, DHS S&T and NIAP within the National Security Agency (NSA) cybersecurity mission have demonstrated that the process can be automated.
Assessing whether mobile apps are compliant with a NIAP Protection Profile (PP) has traditionally been a long and costly process. By automating that process, S&T and NIAP offer agencies the ability to quickly, affordably, and reliably determine if their apps meet NIAP’s stringent security requirements.
Available both on the web and via a mobile app, SABER provides users with a means to upload and share real-time business status information with other organizations, particularly government aid entities such as FEMA, during an emergency or crisis.
A new study released today by DHS S&T describes a continuous approach to mobile app vetting that integrates the capabilities of enterprise mobility management (EMM) solutions with app vetting tools to improve the security of mobile devices.
This S&T study recommends federal agencies adopt a continuous approach to standards-based mobile app vetting by integrating vetting tools with EMM and exploring nontraditional approaches, such as app threat intelligence. These approaches would improve overall federal system mobile device and enterprise security while also enabling employees to use apps to conduct business and accomplish their organization’s mission.
In an emergency, it is vital that first responders are able to communicate and share information, regardless of the agency they represent. Yet, interoperability and information integration remain a challenge when it comes to real-time, multi-agency coordination.
To address this challenge, the Center for Visualization and Data Analytics (CVADA) at Rutgers, the State University of New Jersey, a Department of Homeland Security (DHS) Science and Technology (S&T) Center of Excellence, developed the Mobile Computing Application Platform (MCAP) in partnership with the U.S. Army Tank Automotive Research, Development and Engineering Center.
Law enforcement officials in Indiana and Illinois are using the Gang Graffiti Automatic Recognition and Interpretation (GARI) system, developed by the Center for Visualization and Data Analytics, a Department of Homeland Security (DHS) Science and Technology (S&T) Center of Excellence, to identify and track gang activity in their communities via mobile phones by identifying both graffiti and tattoos.
The Department of Homeland Security (DHS) Science and Technology Directorate (S&T) funded the development of the Watchtower mobile application, which – as of February 27, 2018 – is available, free of charge for all public safety users.
A pilot project by the Department of Homeland Security (DHS) Science and Technology Directorate (S&T) resulted in the successful remediation of potential cybersecurity vulnerabilities in mobile applications (apps) used by the nation’s public-safety professionals, supporting the creation of an on-going mobile app-testing program.