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Texas Instruments today announced it has begun production of gallium nitride (GaN)-based power semiconductors at its factory in Aizu, Japan.
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Magnachip Semiconductor Corporation announced today the expansion of production for its 7th generation 1)MXT LV MOSFETs, which are based on Magnachip’s Super Short Channel FET technology.
In Powering the Future: Advanced Power Solutions for Efficiency and Robustness, subject matter experts offer in-depth analyses of components, architectures and applications in power systems.
Navitas has announced it will preview several breakthroughs at electronica 2024 (Hall C 3, booth 129, November 12th- 15th).
Bei einem chinesischen Hackerangriff wurden einem Medienbericht zufolge Telefongespräche von US-Politikern abgehört. Darunter auch ein Berater von Ex-Präsident Trump. Chinas Botschaft in Washington dementiert.
Nvidia warnt vor mehreren Sicherheitslücken in den Grafiktreibern, die etwa das Ausweiten der Rechte ermöglichen. Updates stehen bereit.
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8 months after closing a Series A of 15 million, and only two and a half years after being founded by a former chief of staff of the Operational Center then head of the Threat and Risk Analysis office, cybertech Filigran, specialized in open source cybersecurity solutions, announces a new fundraising of 35 million euros in series B.
DALLAS and AIZU, Japan, Oct. 24, 2024 /PRNewswire/ — Texas Instruments (TI) (Nasdaq: TXN) today announced it has begun production of gallium nitride (GaN)-based power semiconductors at its factory in Aizu, Japan. Coupled with its existing GaN manufacturing in Dallas, Texas, TI will now internally manufacture four times more GaN-based power semiconductors, as Aizu ramps
In Italien zieht die Affäre um die illegale Beschaffung vertraulicher Daten durch eine Hackergruppe weitere Kreise. Zu den Betroffenen gehören hochrangige Politiker wie die rechte Ministerpräsidentin Giorgia Meloni, Manager und weitere Prominenz.
Cisco Issues an Emergency Patch for a Vulnerability Under Exploit in Brute-Force Attacks, Delta Sues CrowdStrike Over Software Update That Led to Mass Flight Disruptions, UnitedHealth Confirms Data of 100 Million Stolen in Change Healthcare Breach, Apple Offers $1 Million Bug Bounty to Hackers Who Can Breach Apple Intelligence Servers This is Cyber Security Today. […]
Most organizations face Kubernetes security gaps like container vulnerabilities, outdated clusters, and insufficient isolation.
The transition to 5G networks represents a paradigm shift compared with previous generations of telecommunications.The post Integration of WBG Materials in 5G Systems appeared first on Power Electronics News.
Die HTL Hollabrunn feiert einen herausragenden Erfolg bei der Austria Cyber Security Challenge 2024. Lehrer.
Jan Wendenburg: »Der Cyber Resilience Act wurde am 10. Oktober vom EU Council verabschiedet und verankert die Cybersecurity verpflichtend für alle Hersteller.
SECURITY AND PRIVACY, EarlyView.
Malware analysis and detection is a field of cybersecurity, which focuses on classification if a sample has malicious behavior and if it can damage or compromise information technologies or users. Since the creation of the first malware sample defenders have tried to come up with new approaches to detect malicious code and how to analyze it to extract more information about its purpose and its creators. Malware developers also need to refine their techniques to make analysis and detection harder so the result is constant competition between attackers and defenders. In recent years artificial intelligence has become part of malware analysis and detection and has promising results. Transformer models are part of a bigger group called large language models and their application to malware analysis and classification is still at the very beginning but few very recent studies have shown promising results. In this paper, we have first described the basics of malware analysis and its problems like evasive malware and obfuscation. Next, we have looked into basic machine learning techniques and how are they applied in malware analysis. Then we have analyzed the most recent and influential studies about the application of transformer models in this field. Contribution of this paper is in summarizing all identified problems that need to be solved in future work and outlining existing solutions that can be employed for malware classification.
Many industrial applications today are transitioning to higher power levels with minimized power losses, which can be achieved through increased DC link voltage. Infineon Technologies AG (FSE: IFX / OTCQX: IFNNY) addresses this challenge by introducing the CoolSiC™ Schottky diode 2000 V G5, the first discrete silicon carbide diode on the market with a breakdown …
Chinesische Forschende haben eine 22-Bit-RSA-Verschlüsselung mithilfe eines Quantencomputers geknackt. Dereinst könnten die neuen Computer eine echte Gefahr für klassische Verschlüsselungen bedeuten. Doch Experten beruhigen: Bis es so weit ist, dürften noch Jahre vergehen.
Borophene, a novel two-dimensional (2D) nanomaterials with high surface-to-volume ratio and abundant active sites, show great promise for humidity sen…
Researchers at Tampere University have developed the world's first soft touchpad that can sense the force, area and location of contact without electricity. The device utilizes pneumatic channels, enabling its use in environments such as MRI machines and other conditions that are unsuitable for electronic devices. Soft devices like soft robots and rehabilitation aids could also benefit from this new technology.
NXP Semiconductors has announced that its Trimension NCJ29Dx family, part of one of the industry’s broadest UWB portfolios, is the technology foundation for Audi’s advanced new UWB platform, delivering the precise and secure real-time localisation required by leading premium car manufacturers to enable hands-free secure car access via smart mobile device and other UWB-based features.
NXP Semiconductors has announced that its Trimension NCJ29Dx family, part of one of the industry’s broadest UWB portfolios, is the technology foundation for Audi’s advanced new UWB platform, delivering the precise and secure real-time localisation required by leading premium car manufacturers to enable hands-free secure car access via smart mobile device and other UWB-based features.
Dublin, Oct. 24, 2024 (GLOBE NEWSWIRE) -- The
Human Activity Recognition (HAR) is the task to automatically analyze and recognize human body gestures or actions. HAR using time-series multi-modal …
Spread The News Amid growing global cybersecurity concerns, Microsoft has reaffirmed its commitment to advancing AI-driven defense strategies. Speaking at the recent Microsoft Ignite event, the company highlighted the urgent need for enhanced security measures as cyberattacks become increasingly sophisticated and widespread. Lee-Anne James, Chief Data Officer at Microsoft South Africa, stressed that traditional […]
(Bild: Fraunhofer IEM ) Der CRA reguliert Security für vernetzte Geräte. Erfahren Sie, was Unternehmen tun sollten, um sich für die Mindestanforderungen der EU zu rüsten.
Lidwave, a developer of 4D lidar-on-chip sensors, has secured $10 million in seed round funding to further develop its optical chip, launch a software
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Fortinet hat eine kritische Sicherheitslücke in Fortimanager bestätigt, die bereits angegriffen wird. Updates stehen seit Kurzem bereit.
The Business Research Company recently released a comprehensive report on the Global Quantum Cryptography Solutions Market Size and Trends Analysis with Forecast 2024 2033 This latest market research report offers a wealth of valuable insights and data including global market ...
(Bild: Firefly / KI-generiert) Erfahren Sie, wie NIS2 und DORA Unternehmen vor neue Compliance-Herausforderungen stellen und wie strategische Maßnahmen zur Informationssicherheit beitragen können.
Securing the uninterrupted data flow is crucial in the fast-advancing Internet of Things (IoT) market. This work investigates the incorporation of elliptic Galois cryptography and matrix XOR coding steganography to improve data security. The suggested solution employs the elliptic Galois cryptography protocol to encrypt sensitive data from diverse medical records. The private information is embedded within images through the matrix XOR encoding steganography algorithm. The Adaptive Firefly optimization approach is used to improve the efficiency of utilizing cover blocks for steganography. The effectiveness of the proposed technique is evaluated using various modern approaches. We analyze the efficiency and security of the proposed approach by comparing it with a previous hybrid method employing the New York State Department of Health dataset. The results unequivocally validate that our approach offers enhanced safety in Internet of Things (IoT) applications.
Siemens und ServiceNow haben auf dem ServiceNow World Forum in München eine strategische Partnerschaft angekündigt, um die industrielle Cybersicherheit zu stärken und den Einsatz von generativer KI auf dem Shopfloor voranzutreiben.
The quest for effective cancer treatments has driven transformative strategies in drug discovery, and biosensors have emerged as indispensable tools, renowned for their precision, sensitivity, and real-time monitoring capabilities. The review begins with a brief overview of cancer drug discovery, underscoring the pivotal role of biosensors in advancing cancer research. Various types of biosensors employed in cancer drug discovery, including fluorescence- and bioluminescence-based biosensors, are then explored. Emphasis is placed on the integration of biosensors in high throughput screening (HTS) and validation for cancer drug compounds, elucidating their pivotal role in accelerating the identification of potential therapeutics. Real-time monitoring of cellular responses through biosensors yields invaluable insights into cancer cell signaling pathways, drug efficacy, and resistance mechanisms. The review illuminates how biosensors contribute to unraveling the dynamic nature of cancer cells, thereby facilitating the development of more targeted and personalized therapies. Challenges linked to biosensor applications in cancer drug discovery are addressed, alongside a discussion of emerging trends and future perspectives. In conclusion, this review offers a comprehensive analysis of biosensor applications in the dynamic field of cancer drug discovery. The integration of biosensor technologies holds the promise of revolutionizing the discipline, presenting novel avenues for the development of targeted and personalized cancer therapies.
The launch of the new SiC product line demonstrates Powerex’s commitment to supporting its customers across the United States with cutting-edge technology, expert guidance, and reliable delivery. Pennsylvania, United States - October 23, 2024 — Powerex, a global leader in power semiconductor solutions, is excited to announce the launch of its latest Silicon Carbide (SiC) power modules and discrete devices....
You have heard CPUs, GPUs and even DPUs, but have you heard about the VPU? Fabric Cryptography, which recently completed a $33 million series A round of investment, is pioneering a brand-new processing unit for cryptography, which it calls the verifiable processing unit (VPU). In an interview with EE Times, CEO Michael Gao said the […]The post Startup Builds Cryptography Chip appeared first on EE Times.
Socket has raised $40 million in a Series B funding round to work on open source software supply chain security technology.The post Socket Raises $40 Million for Supply Chain Security Tech appeared first on SecurityWeek.
In a significant development, Quantum Dice, a University of Oxford spin-out, has partnered with SCI Semiconductor, a UK-based developer of high-integrity silicon devices, to bring quantum-backed cryptography to advanced security systems. This collaboration aims to develop joint solutions for sectors with high-integrity requirements, including smart energy and critical infrastructure, aerospace and defense, telecommunications, automotive, industry 4.0, and medical domains. The partnership will leverage Quantum Dice's innovative QRNG technology, which provides continuous quantum assurance against hardware attacks and silent failure, and SCI Semiconductor's expertise in high-integrity silicon design and CHERI technology. Dr Ramy Shelbaya, CEO of Quantum Dice, and Haydn Povey, Chief Executive of SCI Semiconductor, are leading this effort to create secure, memory-safe semiconductor solutions for long-term protection in industries with the highest security demands.
Nord Quantique, a leading company in quantum error correction, has secured its supply chain through two new partnerships with key stakeholders in the emerging "Northeast Semiconductor Manufacturing Corridor". This region, spanning from Manhattan to Montreal, is dedicated to producing microelectronics and quantum microchips. The partnerships with MiQro Innovation Collaborative Centre (C2MI) in Quebec and New York Center for Research, Economic Advancement, Technology, Engineering, and Science (NY CREATES) will ensure Nord Quantique has access to facilities for secure and reliable production of microchips. According to Michel Pioro-Ladrière, Vice-President of Partnerships and Strategy at Nord Quantique, these partnerships will provide a significant advantage in terms of access and cost as quantum systems continue to scale up. The collaborations will focus on industrial-grade fabrication of superconducting qubits and scalable fabrication of qubits using CMOS manufacturing tools. Marie-Josée Turgeon, CEO at C2MI, and Dr. Satyavolu Papa Rao, NY CREATES Vice President for Research, also commented on the significance of these partnerships in advancing quantum computing technology.
Advanced Healthcare Materials, EarlyView.
Stream.Security boasts that its Real-Time Cloud Threat and Exposure Modeling Solution is purpose-built for the “dynamic detection and response needs of multi-cloud environments.
(Bild: KI-generiert) Dank bidirektional sperrender Transistoren aus Galliumnitrid (GaN) wird ein beeindruckender Wirkungsgrad von 99 Prozent bei der Umwandlung von Wechselstrom zu Gleichstrom erzielt. Forschende des Fraunhofer-Instituts und der TU Berlin haben eine neuartige Schaltung entwickelt, die das Laden von Elektroautos revolutionieren könnte.
Researchers used multimodal wearable sensors and machine learning to track real-time fatigue in manufacturing workers, revealing critical insights into individual fatigue patterns and potential ergonomic improvements.
HKU introduces a stretchable wearable biosensor, integrating on-device AI computing for real-time health monitoring, enhancing efficiency, accuracy, and privacy in digital healthcare solutions.
Infineon Technologies AG launches the new automotive-qualified fingerprint sensor ICs CYFP10020A00 and CYFP10020S00. The devices are optimized for
Laptop and computer users running on Linux operating system can fall under cyber attacks at any time.
Electric motors have become a critical element of modern vehicles, being deployed everywhere from water and oil pumps to HVAC systems, windscreen wipers, seat controls and windows.The post Automotive Motor Control: A Simplified Implementation appeared first on Power Electronics News.
Mouser Electronics, Inc., the authorized global distributor with the newest electronic components and industrial automation products, is now shipping the RRH62000 all-in-one integrated air sensor module from Renesas Electronics. The RRH62000 is an integrated air sensor module for air purifiers, smoke detectors, HVAC systems, weather stations, smart home systems, and indoor air monitoring applications. The Renesas ... Read moreThe post New at Mouser: Renesas RRH62000 All-In-One Air Sensor Module for Indoor Monitoring Applications appeared first on Electronics Sourcing.
Mouser Electronics, Inc., the authorized global distributor with the newest electronic components and industrial automation products, is now shipping the RRH62000 all-in-one integrated air sensor module from Renesas Electronics. The RRH62000 is an integrated air sensor module for air purifiers, smoke detectors, HVAC systems, weather stations, smart home systems, and indoor air monitoring applications. The Renesas ... Read moreThe post New at Mouser: Renesas RRH62000 All-In-One Air Sensor Module for Indoor Monitoring Applications appeared first on Electronics Sourcing.
Mit den Ergebnissen des Forschungsprojektes sollen Wechselrichter-Hersteller den Materialbedarf und den Testaufwand reduzieren können, ohne dass die Lebensdauer der Geräte leidet. Das könnte die Herstellungskosten
As global semiconductor firms invest in compound semiconductors, Japan-based companies are stepping up their efforts on gallium nitride (GaN) to expand its applications beyond electric vehicles and to produce larger GaN wafers, reports , , and .
Silicon carbide (SiC) once thrived amid substrate shortages. However, 2024 saw a significant shift where Chinese manufacturers dramatically ramp up production, resulting in a collapse of prices for mainstream 6-inch substrates and a steep decline in 8-inch prices.
[220+ Pages Latest Report] According to a market research study published by Custom Market Insights, the demand analysis of Global Silicon Carbide...
The latest report titled MOSFET and IGBT Gate Drivers Market Trends Share Size Growth Opportunities and Forecast 2024 2031 by Coherent Market Insights delivers a thorough analysis of the industry encompassing market insights It also covers competitor and regional analysis ...
This article presents the groundbreaking design of the BiGaN device, analyzes its performance, and shows different driver configurations.The post BiGaN Switches for Extensive Power Management appeared first on Power Electronics News.
Bezons (France), October 21, 2024 – 8:00am (CET) – RIBER, the global leader for Molecular Beam Epitaxy (MBE) equipment serving the semiconductor industry,...
The significant expansion of Chinese manufacturers' SiC substrate production capacity in 2024 has led to oversupply and a sharp decline in prices, rapidly expanding the applicable market and squeezing the market for gallium nitride GaN. This has posed a double challenge for GlobalWafers, which has diversified from silicon wafers into SiC and GaN.
Dublin, Oct. 16, 2024 (GLOBE NEWSWIRE) -- The
ST's 4th gen STPOWER SiC MOSFET technology brings new benchmarks in power efficiency, power density and robustness.The post ST SiC Technology Targeted at Next-Gen EV Traction Inverters appeared first on EDN Asia.
The pivotal role of microRNA (miRNA) in cancer diagnosis and monitoring is well recognized, yet current detection methods remain complex and costly, g…
This research investigates the impact of Internet of Things (IoT) applications on decision-making capacity (DMC) development in Corporate Sustainable …
Accurate and robust positioning has become increasingly essential for emerging applications and services. While GPS (global positioning system) is widely used for outdoor environments, indoor positioning remains a challenging task. This paper presents a novel architecture for indoor positioning, leveraging machine learning techniques and a divide-and-conquer strategy to achieve low error estimates. The proposed method achieves an MAE (mean absolute error) of approximately 1 m for latitude and longitude. Our approach provides a precise and practical solution for indoor positioning. Additionally, some insights on the best machine learning techniques for these tasks are also envisaged.
Mehr Hightech im Skispringen: Die FIS führt ab der kommenden Saison eine neue Anzug-Regel ein. Kontrolliert wird diese mittels Mikrochips.
The federal government has partnered with Mastercard to support 1million farmers across the continent through financial inclusion and contactless payment.
According to Value Market Research the global demand for the RFID Market size is projected to experience substantial growth anticipated to reach a market size of approximately USD 59 88 billion by 2032 up from USD 20 38 billion in ...
According to Value Market Research the global demand for the Internet of Things IoT in healthcare Market Size is expected to experience remarkable growth with the market size projected to reach approximately USD 1 026 77 billion by 2032 up ...
The Europe IoT market size was valued at 2 19 billion in 2021 and is projected to reach 12 30 billion by 2031 growing at a CAGR of 19 0 from 2022 to 2031 The cloud based segment is expected ...
Accurate and inconspicuous identification of eating behavior has substantial implications for wellness surveillance, nutritional tracking, and technological assistance. Conventional approaches for detecting eating habits frequently rely on invasive or unfeasible techniques, which restrict their practicality in real-life situations. This research introduces an innovative eating recognition system that utilizes head and face motions recorded by in-ear wearing sensors and advanced deep learning algorithms. Our approach is a non-invasive and simple-to-use method that utilizes the unique patterns of head and face motions related to eating actions. We use a specially developed in-ear wearable sensor from the EarSet dataset to gather movement information while individuals are eating. The dataset comprises a range of cranial and facial motions recorded from 30 individuals. The unprocessed sensor data is subjected to pre-processing to eliminate interference and extract pertinent characteristics. We use advanced deep learning models, such as CNN, LSTM, BiL-STM, GRU, BiGRU, and our novel hybrid model CNN-LSTM, to acquire knowledge of distinctive patterns and identify eating occurrences. Our eating recognition system has been extensively tested and proven successful. The CNN-LSTM model achieved an accuracy of 95.12% and an F1-score of 95.09% during the 5-fold cross-validation studies. Our technique demonstrates superior efficiency and applicability compared to standard deep learning algorithms, as a comparative study shows. The suggested system can combine in-ear wearable sensors with deep learning to provide inconspicuous and accurate identification of eating activities. This study enhances the development of eating detection technology and introduces new opportunities for individualized wellness tracking and helpful applications. Subsequent research will prioritize the enlargement of the dataset, integration of supplementary modalities, enhancement of deep learning models for equipment with limited resources, and assessment of the long-term practicality and user reception of in-ear wearable sensors for detecting eating activities.
The paper presents a novel approach for biometric continuous driver authentication (CDA) for secure and safe transportation using wearable photoplethy…
With its new all-in-one solution »Secora Pay Bio« for biometric payment cards Infineon wants to enhance convenience and trust of biometric contactless payment. The solution uses a SoC secure element and a fingerprint sensor within a Biometric Coil on Module package.
An innovative paper-based electrochemical aptasensor has been developed for the detection of Rivaroxaban (RIV) in human plasma samples. The sensor is …
Mental distress-induced imbalances in autonomic nervous system activities adversely affect the electrical stability of the cardiac system, with heart rate variability (HRV) identified as a related indicator. Traditional HRV measurements use electrocardiography (ECG), but impulse radio ultra-wideband (IR-UWB) radar has shown potential in HRV measurement, although it is rarely applied to psychological studies. This study aimed to assess early high levels of mental distress using HRV indices obtained using radar through modified signal processing tailored to reduce phase noise and improve positional accuracy. We conducted 120 evaluations on 15 office workers from a software startup, with each 5 min evaluation using both radar and ECG. Visual analog scale (VAS) scores were collected to assess mental distress, with evaluations scoring 7.5 or higher classified as high-mental distress group, while the remainder formed the control group. Evaluations indicating high levels of mental distress showed significantly lower HRV compared to the control group, with radar-derived indices correlating strongly with ECG results. The radar-based analysis demonstrated a significant ability to differentiate high mental distress, supported by receiver operating characteristic (ROC) analysis. These findings suggest that IR-UWB radar could be a supportive tool for distinguishing high levels of mental stress, offering clinicians complementary diagnostic insights.
Incipient screening for cervical cancer is crucial for treatment and improving prognosis. In this work, SERS based aptamer sensor (aptasensor) has bee…
The presence of trace kanamycin (KANA) residues in animal-derived foods from its improper use present a critical public health issue, making the urgen…
When LoRaWAN networks are deployed in complex environments with buildings, jungles, and other obstacles, the communication range of LoRa signals experiences a notable reduction, primarily due to multipath propagation, fading, and interference. With the flight advantage of height, mobility, and flexibility, UAV can provide line-of-sight (LOS) communication or more reliable communication in many scenarios, which can be used to enhance the LoRaWAN network’s performance. In this paper, a novel UAV-assisted LoRaWAN network is designed and implemented. Specifically, a UAV-assisted LoRaWAN network system architecture is proposed to improve the LoRaWAN network coverage and communication reliability, in which the UAV architecture of “UAV + Remote Controller + Server” is combined with the traditional LoRaWAN architecture of “End-Device + Gateway + Server”. Then, the implementation of the UAV gateway and the remote controller relay is presented, which play the important role of forwarding LoRaWAN frames transparently in our proposed architecture. In detail, the UAV gateway is developed based on the UAV’s PSDK and classical LoRa packet forwarder, and the remote controller relay is developed based on UAV’s MSDK. The experimental results show that the network coverage and communication reliability of our proposed LoRaWAN network have been significantly improved, effectively supporting a wide range of LoRaWAN applications. Specifically, when the end-device is deployed 1.3 km away with numerous obstacles in the propagation environment, with the UAV altitude advantage and the remote controller’s relay capability, the proposed system achieved an SNR of 5 db and an RSSI of −80 dbm with a packet loss rate of 3%. In comparison, the ground gateway only achieved an SNR of −16 db and an RSSI of −113 dbm with a packet loss rate of 73%.
Verizon Business is supplying German automotive startup Vay Technology with 5G and IoT airtime for its rental fleet of remotely operated EVs in Las Vegas.
… conditions by controlling their Samsung air conditioners, air purifiers … conditioners, and more. Samsung allows access to those … -compliant infotainment units, Samsung is therefore going to … Apple's old trick of making everything itself. But Samsung …
The government on Wednesday launched the first phase of its flagship US$14 billion stimulus handout scheme, which will eventually see an estimated 45 million people receive 10,000 baht each, saying it would spark economic activity.
The research problem of this systematic review was whether green 6G networks can integrate energy-efficient Industrial Internet of Things (IIoT) in terms of distributed artificial intelligence, green 6G pervasive edge computing communication networks and big-data-based intelligent decision algorithms. We show that sensor data fusion can be carried out in energy-efficient IoT smart industrial urban environments by cooperative perception and inference tasks. Our analyses debate on 6G wireless communication, vehicular IoT intelligent and autonomous networks, and energy-efficient algorithm and green computing technologies in smart industrial equipment and manufacturing environments. Mobile edge and cloud computing task processing capabilities of decentralized network control and power grid system monitoring were thereby analyzed. Our results and contributions clarify that sustainable energy efficiency and green power generation together with IoT decision support and smart environmental systems operate efficiently in distributed artificial intelligence 6G pervasive edge computing communication networks. PRISMA was used, and with its web-based Shiny app flow design, the search outcomes and screening procedures were integrated. A quantitative literature review was performed in July 2024 on original and review research published between 2019 and 2024. Study screening, evidence map visualization, and data extraction and reporting tools, machine learning classifiers, and reference management software were harnessed for qualitative and quantitative data, collection, management, and analysis in research synthesis. Dimensions and VOSviewer were deployed for data visualization and analysis.
The travel and hospitality sectors have long been anchored in traditional payment methods, like cash and credit cards. As consumers and employees voice
MANILA, Philippines — The imposition of fines against motorists entering toll highways without radio frequency identification (RFID) tags has been moved to January 2025, said the Department of
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On September 20, Rocket Lab launched five satellites for the French technology company. Rocket Lab's Electron rocket launched from New Zealand at 7:01 PM ET (Saturday, September 21 at 23:01 GMT or 11:01 NZ time). The satellites were placed into a 400-mile (643-kilometer) high orbit about 66 minutes after launch,…
UWB can take advantage of lateral innovation to enable the smartphone ecosystem to access untapped value
The Internet of Things (IoT), introduced by Kevin Ashton in the late 1990s, has transformed technology usage globally, enhancing efficiency and convenience but also posing significant security challenges. With the proliferation of IoT devices expected to exceed 29 billion by 2030, securing these devices is crucial. This study proposes an optimized 1D convolutional neural network (1D CNN) model for effectively classifying IoT security data. The model architecture includes input, convolutional, self-attention, and output layers, utilizing GELU activation, dropout, and normalization techniques to improve performance and prevent overfitting. The model was evaluated using the CIC IoT 2023, CIC-MalMem-2022, and CIC-IDS2017 datasets, achieving impressive results: 98.36% accuracy, 100% precision, 99.96% recall, and 99.95% F1-score for CIC IoT 2023; 99.90% accuracy, 99.98% precision, 99.97% recall, and 99.96% F1-score for CIC-MalMem-2022; and 99.99% accuracy, 99.99% precision, 99.98% recall, and 99.98% F1-score for CIC-IDS2017. These outcomes demonstrate the model’s effectiveness in detecting and classifying various IoT-related attacks and malware. The study highlights the potential of deep-learning techniques to enhance IoT security, with the developed model showing high performance and low computational overhead, making it suitable for real-time applications and resource-constrained devices. Future research should aim at testing the model on larger datasets and incorporating adaptive learning capabilities to further enhance its robustness. This research significantly contributes to IoT security by providing advanced insights into deploying deep-learning models, encouraging further exploration in this dynamic field.