Microsoft has pulled the January Windows Server cumulative updates after critical bugs caused domain controllers to reboot, Hyper-V to not work, and ReFS volume systems to become unavailable.
Tuesday, Microsoft released the January 2022 Patch Tuesday updates for Windows Server that includes numerous security updates and bug fixes.
These updates are KB5009624 for Windows Server 2012 R2, KB5009557 for Windows Server 2019, and KB5009555 for Windows Server 2022.
A team of researchers at the Institute of Computer Science and Random Systems has built a non-software-based virus detection system using a Raspberry Pi, an H-field probe and an oscilloscope to detect electromagnetic wave signatures of multiple types of viruses. The team presented its system and test results at last month’s ACM Machinery’s Annual Computer Security Applications Conference and published a paper describing their system on ACM’s Research Article page.
The idea behind the new system is that running software generates electromagnetic waves. And each piece of software generates its own unique wave patterns due to the way the software executes its code. The researchers took advantage of this knowledge and began using an H-field probe to capture wave patterns of known computer viruses running on various devices and viewed the results on an oscilloscope. They saw oscilloscope patterns that were unique to individual viruses as they were running. The researchers used that information to program a Raspberry Pi to identify data from the other two devices to recognize known virus wave patterns, using the system as a virus detector. To determine if a virus is running on a computer, IoT device or smartphone, a user places the H-field probe close enough to the device to read the electromagnetic waves that are generated. The Raspberry Pi then reports on whether it found any viruses, and if so, which ones.
Xage, which offers zero trust identity security for operational technology customers, raised a $30 million series B to scale its deployments.
Smart factories will be very useful in metaverse.workers can operated machines in factories using Internet.
As the idea of interconnected and intelligent manufacturing is gaining ground, competing in the world of Industry 4.0 can be challenging if you’re not on the very cusp of innovation.
Seeing the growing economic impact of IIoT around the globe, many professionals and investors have been asking themselves if the industry is on the verge of a technological revolution. But judging from the numbers and predictions, there is tangible and concrete evidence that the idea of smart manufacturing has already burst into corporate consciousness. According to IDC, global spending on the Internet of Things in 2020 is projected to top $840 billion if it maintains the 12.6% year-over-year compound annual growth rate. There is no doubt that a huge part of this expenditure will be devoted to the introduction of IoT into all types of industry, especially including manufacturing.
But there is not only the forecasts and statistics to tell us that the idea of Industrial Internet of Things is gaining traction across virtually all business sectors. Having already proven to be the crunch point in manufacturing, IIoT brings the reliability of the machine to machine communication, the security of preventive maintenance and the insight of big data analytics. In other words, the IIoT revolution has already begun.
JFrog’s senior director of security research said the vulnerability has a root cause similar to Log4Shell.
Picture credit: Knightscope.
The following post was written and/or published as a collaboration between Benzinga’s in-house sponsored content team and a financial partner of Benzinga.
Robots patrolling around shopping malls, casinos and places of work actively looking for criminal activity might no longer be something straight out of a science fiction novel or movie. Knightscope, Inc., a Silicon Valley Based startup, is building and deploying fully autonomous security robots that deter, detect and report crime.
The first PCs to incorporate Microsoft’s Pluton security chip will be available from Lenovo this May.
The field of experimental quantum communication promises ways of efficient and unconditional secure information exchange in quantum states. The possibility of transferring quantum information forms a cornerstone of the emerging field of quantum communication and quantum computation. Recent breakthroughs in quantum computation with superconducting circuits trigger a demand for quantum communication channels between superconducting processors separated in space at microwave length frequencies. To pursue this goal, Kirill G. Fedorov, and a team of scientists in Germany, Finland and Japan demonstrated unconditional quantum teleportation to propagate coherent microwave states by exploring two-mode squeezing and analog feedforward across a distance of 0.42 m. The researchers achieved a teleportation fidelity of F= 0.689±0.004, which exceeded the asymptotic no-cloning threshold, preventing the use of classical error correction methods on quantum states. The quantum state of the teleported state was preserved to open the avenue towards unconditional security in microwave quantum communication.
Quantum teleportation (QT).
The promise of quantum communication is based on the delivery of efficient and unconditionally secure ways to exchange information by exploring the quantum laws of physics. Quantum teleportation (QT) is an exemplary protocol that stands out to allow the disembodied and safe transfer of unknown quantum states using quantum entanglement and classical communication as resources. Recent progress in quantum computation with superconducting circuits has led to quantum communication between spatially separated superconducting processes functioning at microwave length frequencies. Methods to achieve this communication task includes the propagation of two-mode squeezed (TMS) microwaves to entangle remote qubits and teleport microwave states to interface between remote superconducting systems. Fedorov et al. demonstrated the deterministic QT of coherent microwave states by exploring two-mode squeezing and analog feedforward across a distance of 0.
Today, technical decision-makers at companies, whether big or small, try to look for flexible ways to speed up application development and ensure long-term scalability for their engineering teams. Configuring solutions such as AWS requires a team of in-house experts, which is expensive and takes time to build. In fact, more than 77% of all tech companies run into DevOps challenges across the board, including cost, risks, security, optimization of the deployment pipeline, and scaling.
San Francisco-based Zeet, a platform that solves DevOps challenges and accelerates application deployment for startups, has raised $2 million in a seed round of funding led by venture capital firm Race Capital. The company plans to use the funding, which also saw participation from GGV Capital, Founders Inc, and multiple engineering leaders, to build out its teams across areas ranging from engineering to marketing and meet growing demand from customers.
Founded in 2020 by Johnny Dallas and Zihao Zhang, Zeet strives to tackle these bottlenecks through automation. The solution connects to a cloud account and automates traditionally manual DevOps tasks, allowing a team to quickly go from code to a scalable application.
The integration of AI into devices will improve the efficiency, security, and speed of data analytics. Edge AI is the future of data.