Frost & Sullivan Presents Top Sensor Technologies Impacting the Future of Smart Cities

Kaspersky Expands its Product Portfolio for Security Researchers

Kaspersky sandboxing technology is now available for use in customer networks. The on-premises Kaspersky Research Sandbox is designed for organizations with strict restrictions on data sharing, to enable them to build their internal security operations centers (SOCs) or computer emergency response teams (CERTs). The solution helps them to detect and analyze targeted threats while also being sure that all the examined files are kept inside the organization.

Last year, about half (48%) of enterprises in META region (Middle East, Turkey, Africa) experienced a targeted attack, a Kaspersky survey of IT decision makers revealed. These threats are often designed to only work in a specific context within the victim’s organization: for example, a file may perform nothing malicious until an exact application is opened, or unless a user scrolls through the document. In addition, some files can identify that they are not in the end-user environment – for instance, if there is no sign that anybody is working on the endpoint – and won’t run the malicious code. However, as a SOC usually receives numerous security alerts, analysts cannot manually investigate all of them to identify which one is the most dangerous.

To help companies analyze advanced threats more accurately and timely, Kaspersky’s sandboxing technologies can now be implemented inside a customer’s organization. The Kaspersky Research Sandbox emulates the organization’s system with random parameters (such as user and computer name, IP address, etc.) and imitates an actively-used environment, so that malware cannot distinguish that it is running on a virtual machine.

Kaspersky Research Sandbox has evolved from the internal sandboxing complex used by the company’s own anti-malware researchers. Now these technologies are available for customers as an isolated on-premises installation. Therefore, all the analyzed files will not leave the company perimeter, making the solution suitable for organizations with tight data sharing restrictions.

Kaspersky Research Sandbox has a special API for integration with other security solutions, so that a suspicious file can be automatically sent for analysis. The results of analysis can also be exported to a SOC’s task management system. This automation of repetitive tasks cuts down the time required for incident investigation.

Kaspersky Research Sandbox can be integrated with Kaspersky Private Security Network. It allows organizations to not only gain insights on an object’s behavior, but also receive information on the reputation of downloaded files or URLs the malware communicated with from the Kaspersky threat intelligence database installed within a customer’s data center.

Frost & Sullivan Presents Top Sensor Technologies Impacting the Future of Smart Cities

Frost & Sullivan’s recent analysis, Opportunities of Emerging Sensor Technologies Impacting the Future of Smart Cities, reports that digitization and advancements in Internet of Things (IoT) are driving the largescale adoption of sensor technologies across cities. Combined with key enabling technologies such as artificial intelligence (AI) and highspeed internet networks, integrated sensor networks in cities are driving the creation of a connected city ecosystem to enable the optimal use of public resources. The scope of the research includes acoustic, lidar, radar, 3D camera sensors, environmental sensors, flow sensors, gas sensors, and humidity and temperature sensors and also addresses adoption scenarios in key smart cities across the globe.

“The need for a smart city is primarily driven by a requirement for a safe, secure, and sustainable environment that allows for effective population management while providing services to citizens in a satisfactory manner,” said Krithika Shekar, TechVision Senior Research Analyst at Frost & Sullivan. “An integrated sensor system aids in establishing a seamlessly interconnected network with an anchor application and a centralized platform. Such a sensor network established for one purpose, such as street lighting, can enable several other connected applications, such as environment monitoring, public safety, and waste management. A centralized network will help reduce duplicated capital costs and eliminates the need for several individual complex networks.” “Major investments by top smart city governments in Singapore, New York, and Tokyo show rapid pace of adoption of smart solutions. The rise of smart cities has not only created growth opportunities for sensor makers, but has also accelerated the adoption of several supporting technologies such as 5G, robots, AI, and edge computing, creating endless growth opportunities for smart city applications.”

For further growth opportunities, smart cities should leverage the following sensor technologies:

Electronic sensors are deployed in environmental surveillance sensors and speedometer sensors which are typically used in smart cities to carry out a variety of tasks, such as monitoring power and current levels for fault detection. Infrared sensors aid in unbiased data generation in dynamic and unstable environments, which can help with decision-making in smart cities. Radar sensors are useful in utilizing complex computer data to analyze crucial archaeological site information. Thermal sensors perform accurate tracking of energy distribution, while other smart sensors enable management of demand-side energy. As such, smart grid sensors help improve energy efficiency. Proximity and lidar sensors can aid development of automated vehicle systems, which is critical to making a city completely smart.