The IoT (Internet of Things) connect systems, applications, data storage, and services that may be a new gateway for cyber-attacks as they continuously offer in the organization. Currently, software piracy malware attacks are high risks to compromise security IoT. These threats steal important information causes economic reputational damages. In this paper, we have proposed combined deep learning approach detect pirated malware-infected files across network. TensorFlow neural network is...

The integration of renewable energy resources into smart grids has become increasingly important to address the challenges managing and forecasting production in fourth revolution. To this end, artificial intelligence (AI) emerged as a powerful tool for improving control management. This study investigates application machine learning techniques, specifically ARIMA (auto-regressive integrated moving average) Bi-LSTM (bidirectional long short-term memory) models, predicting solar power next...

Abstract The most advanced power grid design, known as a ‘smart grid’, integrates information and communication technology (ICT) with conventional system to enable remote management of electricity distribution. intelligent cyber‐physical architecture enables bidirectional, real‐time data sharing between suppliers consumers through smart meters metering infrastructure (AMI). Data protection issues, such tampering, firmware exploitation, the leakage sensitive arise due grid's substantial...

Android has become the leading mobile ecosystem because of its accessibility and adaptability. It also primary target widespread malicious apps. This situation needs immediate implementation an effective malware detection system. In this study, explainable system was proposed using transfer learning visual features. For detection, our technique leverages both textual First, a pre-trained model called Bidirectional Encoder Representations from Transformers (BERT) designed to extract trained...

Facial Emotion Recognition is considered very significant for Human Computer Interaction (HCI) and they play a vital role in everyday human life. In recent years Convolutional Neural Network (CNNs) has become popular among researcher image analysis, because CNNs have generated remarkable results. However, needs lot of data to train from scratch. This problem been addressed by several researchers who trained with millions images, this training knowledge can also be used different task which...

Recently a huge trend on the internet of things (IoT) and an exponential increase in automated tools are helping malware producers to target IoT devices. The traditional security solutions against infeasible due low computing power for large-scale data environment. number their variants increasing continuous attacks. Consequently, performance improvement analysis is critical requirement stop rapid expansion malicious attacks To solve this problem, paper proposed novel framework classifying...

During the course of ubiquitous data monitoring in underwater environment, achieving sustainable communication links among sensor nodes with astute link quality seems an ordeal challenge. Energy utilization has a direct impact because all active devices are battery dependent and no charging or replacement actions can be made when cost- effective packet delivery been set as benchmark. Hop inspection selection Shrewd through resurrecting factor have nothing short bleak challenge, only possible...

The selection of optimal relay node ever remains a stern challenge for underwater routing. Due to rigid and uncouth environment, the acoustic channel faces inevitable masses that tarnish transmission cycle. None protocols can cover all routing issues; therefore, designing protocol demands cognitive coverage cannot be accomplished without meticulous research. An angle-based shrewd technique is being adopted improve data packet delivery, as well revitalize network lifespan. From source...

Automated malware detection is a prominent issue in the world of network security because rising number and complexity threats. It time-consuming resource intensive to manually analyze all files an application using traditional methods. Polymorphism code obfuscation were created by authors bypass standard signature-based methods used antivirus vendors. Malware deep learning (DL) approaches has recently been implemented effort address this problem. This study compares IoT device three current...

Malicious attacks to software applications are on the rise as more people use Internet of things (IoT) devices and high-speed internet. When a system crash happens caused by malicious action, malware imaging method can examine application. In this study, we present novel classification that captures suspected operations in variety discrete size image features, allowing us identify such IoT device families. To decrease deep neural network training time, essential local global features...

Android malware detection remains a critical issue for mobile security. Cybercriminals target since it is the most popular smartphone operating system (OS). Malware detection, analysis, and classification have become diverse research areas. This paper presents smart sensing model based on large language models (LLMs) developing classifying network traffic-based malware. The traffic that constantly connects apps may contain harmful components damage these apps. However, one of main challenges...

Building detection in satellite images has been considered an essential field of research remote sensing and computer vision. There are currently numerous techniques algorithms used to achieve building performance. Different have proposed extract objects from high-resolution with standard contrast. However, low-contrast predict symmetrical findings as past studies using normal contrast is a challenging task may play integral role wide range applications. Having received significant attention...

The advances in underwater sensor communication has become imperative getting up-to-date information about happenings, especially when world already faced the calamity like Tsunami. environment possessed freak and unpredictable movements which becomes more harsh time to time. nodes deployed under such juncture are main source of fact, facing numerous challenges. These mainly energy-constrained rely on limited battery source. Due most intricated routing architecture, biggest detriment is...

The accomplishment of sustainable communication among source and destination sink node is a rigors challenge even establishing bodacious link between these nodes nothing short miracle because data routes are governed by the underwater environment. Energy consumption has significant influence as all active devices rely on battery. As cost-effective packet transmission established norm, no charging or replacement can be achieved. Hop evaluation shrewd connection discovery way resurrecting...

Recent internet development is helping malware researchers to generate malicious code variants through automated tools.Due this reason, the number of increasing day by day.Consequently, performance improvement in analysis critical requirement stop rapid expansion malware.The existing research proved that similarities among could be used for detection and family classification.In paper, a Cross-Platform Malware Variant Classification System (CP-MVCS) proposed converted binary into grayscale...

Software similarity in different programming codes is a rapidly evolving field because of its numerous applications software development, cloning, plagiarism, and forensics. Currently, researchers developers search cross-language open-source repositories for similar variety reasons, such as reusing code, analyzing implementations, looking better application. However, it challenging task each language has unique syntax semantic structure. In this paper, novel tool called Cross-Language...

The underwater Internet of Things (UIoT) and remote sensing are significant for biodiversity preservation, environmental protection, national security, disaster assistance, technological innovation. Assigning tasks to autonomous vehicles (AUVs) is a fundamental challenge in technology exploration. Remote AUVs vital pollution detection, prevention, marine observation, ocean monitoring. This work presents an optimized network connectivity using multi-attribute decision-making approach IoT...