With a hybrid workplace environment and an influx of talent, many people in an office barely know or recognize each other in person. Although there are safety and security policies regarding an individual badging into a building, tailgating by individuals standing close to a person remains a common occurrence. Tracking device-powered cyberstalking is also an active threat to safety and security. Techniques are presented herein that re-use existing network components (including wireless capabilities, elements of an advanced digital network architecture, a cloud-based location services platform, and an identity and access control policy/mobile device management (MDM) platform) and leverage existing capabilities (such as multi-factor authentication (MFA)) to efficiently detect and validate the identity of every individual who enters a premise. Aspects of the presented techniques support a solution that may differentiate a tailgater from a badged-in user while solving the "unknown device" issue.
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Ramanathan, Shankar; Katyal, Jatin; Barton, Robert; Henry, Jerome; and Sheriff, Akram, "AVERTING WORKPLACE TAILGATING AND CYBERSTALKERS THROUGH LOCATION-POWERED MULTI-FACTOR AUTHENTICATION", Technical Disclosure Commons, (September 08, 2022)