With the global energy crisis, increasing demand, and a national-level emphasis on electric vehicles (EVs), numerous innovations are being witnessed throughout EV industry. EVs equipped with sensors that maintain sustainable environment for betterment of society enhance human sustainability. However, at same time, as is case any new digital technology, they susceptible to threats security privacy. Recent incidents demonstrate these have been misused car theft, financial fraud, data...

The new attack surface being crafted by the huge influx of IoT devices is both formidable and unpredictable, as it introduces a rich set unexplored techniques unknown vulnerabilities. These are hard to perceive through traditional means, owing concealed cascaded inter-device, inter-system device-environment dependencies. In this paper, we present IoTSAT, formal framework for security analysis IoT. IoTSAT formally models generic behavior system systems, based on device configurations, network...

Software-defined networking (SDN) offers a novel paradigm for effective network management by decoupling the control plane from data thereby allowing high level of manageability and programmability. However, notion centralized controller becomes bottleneck opening up host vulnerabilities to various types attacks. One most harmful, stealthy, easy launch attacks against networked systems is link flooding attack (LFA). In this paper, we demonstrate vulnerability SDN layer LFA how strategy...

Precise estimation of crop yield is crucial for ensuring food security, managing the supply chain, optimally utilizing resources, promoting economic growth, enhancing climate resilience, controlling losses, and mitigating risks in agricultural industry. Accurate prediction depends upon several interactive factors, including genotype, conditions, soil fertility, sowing & irrigation plan, management practices. For this purpose, remote sensing data machine learning (ML) algorithms are emerging...

Advancement in information technology is playing an increasing role the use of systems comprising relational databases. These databases are used effectively collaborative environments for extraction; consequently, they vulnerable to security threats concerning ownership rights and data tampering. Watermarking advocated enforce over shared providing a means tackling When enforced using watermarking, underlying undergoes certain modifications; as result which, quality gets compromised....

Water is a fundamental resource for human survival but the consumption of water that unfit drinking leads to serious diseases. Access high–resolution satellite imagery provides an opportunity innovation in techniques used quality monitoring. With remote sensing, parameter concentrations can be estimated based on band combinations images. In this study, hybrid sensing and deep learning approach forecasting multi–step was investigated advancement traditionally employed assessment techniques....

Cloud computing is a paradigm that shifts drastically from traditional architecture. Although this new brings many advantages like utility model but the design in not flawless and hence suffers only known computer vulnerabilities also introduces unique information confidentiality, integrity availability risks as well due its inherent paradigm. As result digital forensics, which relies heavily on physical access to devices applications logs, has become biggest challenge cloud environments...

Precision agriculture and smart farming have received significant attention due to the advancements made in remote sensing technology support agricultural efficiency. In large-scale agriculture, role of unmanned aerial vehicles (UAVs) has increased monitoring collecting farm data at regular intervals. However, an open environment, UAVs can be hacked malfunction report false data. Due limited battery life flight times requiring frequent recharging, a compromised UAV wastes precious energy...

There is an exponential rise in the use of smartphones government and private institutions due to business dependencies such as communication, virtual meetings, access global information. These are attractive target for cybercriminals one leading causes cyber espionage sabotage. A large number sophisticated malware attacks well advanced persistent threats (APTs) have been launched on smartphone users. becoming significantly more complex, sophisticated, persistent, undetected extended...

The promise of pay-as-you-go and scalable model Cloud Computing has attracted a large number medium small enterprises to adopt E-Commerce conducting on-line businesses. While applications on the expand businesses by making them more widely accessible, they also makes these susceptible economic denial sustainability attacks - form application layer DDoS attack that drive up cost computing using resources. This paper focuses detection mitigation EDoS for based applications. is different from...

The Internet of Things (IoT) is being deployed for a plethora use-case scenarios. In any deployment, number configuration choices are available that achieve the mission goal. However, IoT security incidents have demonstrated different configurations vulnerable to varied risk levels. We propose IoTRiskAnalyzer framework formally and quantitatively analyze these risks using probabilistic model checking. takes vulnerability scores, candidate configurations, attacker's capabilities as inputs. It...

The last few years have seen a radical shift in the cyber defense paradigm from reactive to proactive, and this change is marked by steadily increasing trend of Cyber Threat Intelligence (CTI) sharing. Currently, there are numerous Open Source (OSINT) sources providing periodically updated threat feeds that fed into various analytical solutions. At point, an excessive amount data being produced such sources, both structured (STIX, OpenIOC, etc.) as well unstructured (blacklists, etc.)....

Abstract Traffic accidents are a common problem in any transportation network. Road traffic predicted to be the seventh leading cause of deaths by year 2030. Recently research integration geographical information systems (GIS) for analyzing accidents, road design and safety management has increased considerably. The perpetual use GIS tools, lead this study propose identification accident hotspots exploiting technology coupled with kernel density estimation (KDE). This paper proposes KDE...