Researchers used patterned stimulation of neural activity to facilitate encoding of episodic memories for military personnel suffering from the effects of brain injury or illness
EL SEGUNDO, CA – March 29, 2018 – NC4®, a leader in revolutionizing safety and security and an innovator in law enforcement technology, announced today that the Fort Myers Police Department (FMPD), with a strength of 206 sworn officers, has chosen NC4 Street Smart® to help in their fight against crime. With the installation of Street Smart, the officers of the FMPD will be equipped with the sophisticated technology and critical resources they need to reduce crime and contribute to the safety of the community.
The FMPD protects a population of over 77,000 residents and is the county seat and commercial center of Lee County, Florida. Street Smart will help the department provide safety and security to its residents by providing a daily-use crime-fighting solution that arms police officers with critical real- time data, while patrolling their community.
This solution will allow the department to stay apprised of activities and to collaborate using situation- based bulletins, secure blogs, and case management tools that optimize the sharing of crime-related information in order to pinpoint crimes, patterns, and incidents.
“Community partnership is vital to our efforts to reduce and solve crime. We continue to engage community stakeholders and our law enforcement partners in our efforts to reduce crime and to bring justice to victims and their family members,” said Derrick Diggs, Chief of the Fort Myers Police Department. “Our community will benefit from our partnership with NC4 and this technology, when deployed, will give our officers real-time data that is crucial to preventing and solving crime.”
NC4 Street Smart will help the FMPD streamline their efforts across the department by providing officers with continuously updated crime maps, bulletins, and the ability to share relevant information quickly, maximizing policing effectiveness. This will help lead to more accurate and timely arrests and increased safety for officers and citizens. The cities that have been using Street Smart report double-digit reductions in crime and decreases from the time of an incident to the time of arrest.
“We are excited that another agency in Florida will be using Street Smart to fight crime,” said Rob Wolf, Vice President, NC4 Public Safety. “This solution will help officers in Fort Myers provide more effective and efficient law enforcement services to its residents.”
NC4 delivers safety and security solutions for both business and government organizations. We revolutionize how organizations and communities collect, manage, share and disseminate information to reduce cyber threats, fight crime, mitigate risks, and manage incidents. NC4 also provides cyber threat sharing solutions both through secure collaboration services and recently (via Soltra Edge), through automated, structured, and standardized (STIX/TAXII) mechanisms.
NC4 solutions are used by private sector companies involved in financial services, high-tech, insurance, manufacturing, aerospace and defense, oil and gas, pharmaceuticals and healthcare, as well as other industries. In the public sector, NC4 solutions are used by federal, state and local agencies in homeland security, emergency management, and law enforcement disciplines.
NC4 takes a comprehensive and integrated approach to safety and security by providing: cyber threat exchanges that drive the development of a sharing culture and circles of trust; global security and travel intelligence, analysis, traveler tracking, and relevant real time threat alerting to mitigate enterprise risks and a common operating picture for fighting crime and managing emergencies.
For information about NC4, visit www.NC4.com or call toll-free, 1-877-624-4999. ###
By this Public Notice, the Public Safety and Homeland Security Bureau (Bureau) of the Federal Communications Commission (Commission) invites interested parties to update the record on the feasibility of including multimedia content in Wireless Emergency Alert (WEA) messages.
Currently, the Commission’s rules do not specify technical requirements for enabling multimedia content in WEA alert messages. In the 2016 WEA Report and Order and Further Notice of Proposed Rulemaking (WEA R&O and FNPRM), the Commission recognized that additional standards development remains necessary. Accordingly, the Commission sought comment regarding the establishment of an appropriate regulatory framework and timeframe for incorporating multimedia capability into WEA alert messages. Numerous stakeholders responded to that request.
Since the release of the WEA R&O and FNPRM, the Commission has taken measures to strengthen WEA as a tool for emergency managers to communicate with the public. For example, the Commission revised its rules to ensure that emergency managers can geographically target alerts to only those phones located in areas affected by an emergency. When the WEA program launched in 2012, Participating Commercial Mobile Service (CMS) Providers were generally required to send alerts to a geographic area no larger than the county or counties affected by the emergency situation. As of November 1, 2017, all Participating CMS Providers must transmit alerts to a geographic area that “best approximates” the area affected by the emergency situation, and by November 30, 2019, all Participating CMS Providers must match the target area of the alert. In addition to improving the accuracy with which WEA messages must be geo-targeted, the Commission has taken action to improve emergency managers’ ability to deliver more effective content in WEA messages. For example, as of November 1, 2017, nationwide Participating CMS Providers must support the inclusion of embedded references (i.e., URLs and phone numbers) in WEA messages. By May 1, 2019, Participating CMS Providers also must support longer WEA alerts (with the maximum Alert Message length increasing from 90 to 360 characters for 4G LTE and future networks) and the transmission of Spanish-language alert messages. Also as of May 1, 2019, authorized State and local alert initiators will be able to conduct “end-to-end” WEA tests that can be received by members of their communities, in order to assess how WEA is working within their jurisdictions.
The Commission continues to consider the WEA FNPRM’s proposal regarding multimedia alerting, and the Bureau requests that interested commenters refresh the record with any new information or arguments. Commenters should address the technical feasibility for requiring multimedia content in WEA messages, including the current state of multimedia testing and standards development. Commenters should also address with particularity the potential costs and benefits to public safety and Participating CMS Providers for supporting the inclusion of multimedia content in WEA messages, given the other changes to WEA that are currently ongoing.
Link to Public Notice: https://www.fcc.gov/document/fcc-seeks-comment-multimedia-content-wireless-emergency-alerts
Identiv Launches iOS Smart Card Reader Designed for OtterBox uniVERSE Case System and Apple iPhone and iPad
XL Catlin and RedSeal Launch Cyber Insurance Industry’s First Dynamic Measure of Resilience to Gauge Risk, Improve Cybersecurity and Insurance Terms
HID Global Launches Risk Management Solution for Identity & Access Management with Artificial Intelligence and Machine Learning Capabilities
PITTSBURGH, March 27, 2018 -- Wombat Security (Wombat), a division of Proofpoint and the leading provider of security awareness and training, has released a series of three Insider Threat interactive training modules that will allow organizations to educate employees on the potential for employees to inflict damage—either intentionally or unintentionally—through data theft, response to phishing or other activity. The series of mini modules consist of an Insider Threat Overview, a Malicious Insider Threat course and an Unintentional Insider Threat course that present real-world scenarios to end users and allows them to explore the consequences of their choices in a no-risk environment.
"Insider threats are among the most difficult to detect for a trusting, unassuming end user. Cybercriminals are relying less on automated attacks and instead using tactics like social engineering to exploit these people inside your company," said Amy Baker, Vice President of Marketing at Wombat. "At the same time, many current or former employees may have access to a treasure trove of sensitive or valuable information and could misuse that access for personal or professional gain. To make sure organizations are protected against attacks from the inside-out, they need to turn their attention to preparing employees to avoid unintentionally putting their information at risk."
The Insider Threat Interactive Training Modules will introduce a new capability to Wombat training called "branching," where the interactive content changes based on input from end users as they are presented with real-world cybersecurity scenarios. Users are asked to make a decision, then prompted to explore the consequence of their choice in a no-risk environment.
In addition to identifying potential insider threats, including behaviors that can indicate threatening or malicious intent, the module series also contains material on spotting and circumventing unintentional insider threats. Users are able to learn through real-world examples of how employees can unknowingly inflict damage in everyday scenarios and present ways to mitigate future threats with healthy computer habits.
For more information about the Insider Threat Interactive Training Modules, visit: https://www.wombatsecurity.com/training-modules/insider-threat-series
About Wombat Security
Wombat Security, a division of Proofpoint, is the leading provider of information security awareness and training software to help organizations teach their employees secure behavior for enterprises. Their SaaS-based cybersecurity education solutions include an integrated platform of knowledge assessments, simulated attacks, and brief interactive training modules. Wombat's solutions help organizations reduce successful phishing attacks and malware infections up to 90%. The company has been recognized by Gartner as a Leader in the Magic Quadrant for Security Awareness Computer-Based Training Vendors for four years in a row. Founded in 2008, Wombat is helping mid-market, Fortune 1000, and Global 2000 customers to strengthen their cybersecurity defenses.
SOURCE Wombat Security
ABERDEEN PROVING GROUND, Md., March 27, 2018 -- A joint effort between the U.S. Army Research Laboratory and DCS Corporation recently won the Neurally Augmented Image Labelling Strategies, or NAILS challenge, at an international machine learning research competition in Tokyo.
Dr. Vernon Lawhern, ARL mathematical statistician and Amelia J. Solon, DCS scientist, led the joint research project. Other team members included Drs. Brent Lance, ARL and Stephen Gordon, DCS.
The team presented its paper, Deep Learning Approaches for P300 Classification in Image Triage: Applications to the NAILS Task, at the 13th National Institute of Testbeds and Community Information Access Research Conference on evaluation of information.
Teams participating in the NAILS challenge developed machine learning methods to detect – through brain activity – whether an image that a person was seeing was a task-relevant image or not. In performing the research, the researchers calibrated an in-house tool called EEGNet, which is a deep convolutional network capable of learning robust representations of specific brain responses using relatively sparse training sets. Using this approach, they trained a unique instantiation of EEGNet for each subject and subsequently obtained the highest classification performance, averaged across all subjects, of the participating teams.
"EEGNet allows researchers to train models for different neural responses using examples of those responses collected under a wide variety of conditions and from multiple individuals," Gordon said. "In this way, EEGNet provides both a 'common framework' for analyzing disparate data sets as well as a tool for extrapolating results from simplified to more complex domains."
The team participated in conference discussions focused on the state of brain computer interface technology and how it can be leveraged for information retrieval applications; future directions for the NAILS task; assessing models with IR oriented evaluation metrics, and encouraging the development of general BCI algorithms that are not calibrated per-subject or task and hold greater potential for measuring human state in complex, real-world, environments.
"This work is part of a larger research program at ARL that focuses on understanding the principles that govern the application of neuroscience-based research to complex operational settings," Lawhern said. "By competing in this competition we were able to showcase our expertise in this area to the broader scientific community. Ultimately, we are interested in using neuroscience-based approaches to develop human-computer interaction technologies that can adapt to the state of the user."
The researchers conducted the work as part of DCS's Cognition and Neuroergonomics Collaborative Technology Alliance contract with ARL. The CaN CTA is the U.S. Army's flagship basic science research and technology transition program in the neurosciences.
More information on the winning research is available on Google Scholar Citations.
DCS offers advanced technology and management solutions to Government agencies in the DoD and national security sector. The transformative ideas, commitment to quality and entrepreneurial spirit that characterize our 1,100 employee-owners allow us to ensure the success of each customer's mission and actively contribute to the well-being of the Nation. For more information, visit: https://www.dcscorp.com.
CONTACT: [email protected], 571-227-6000
SOURCE DCS Corporation