Intelligent Traffic Systems (ITS) are currently evolving in the form of a cooperative ITS or connected vehicles. Both forms use data communications between Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I/I2V) and other on-road entities, accelerating adoption self-driving cars. The development cyber-physical systems containing advanced sensors, sub-systems, smart driving assistance applications over past decade is equipping unmanned aerial road vehicles with autonomous...

The increasing adoption of driverless cars already providing a shift to move away from traditional transportation systems automated ones in many industrial and commercial applications. Recent research has justified that vehicles will considerably reduce traffic congestions, accidents, carbon emissions, enhance the accessibility driving wider cross-section people lifestyle choices. However, at present, people's main concerns are about its privacy security. Since protocol layers based security...

Fake news has become a significant challenge on online social platforms, increasing uncertainty and unwanted tension in society. The negative impact of fake political processes, public health, harmony underscores the urgency developing more effective detection systems. Existing methods for often focus solely one platform, potentially missing important clues that arise from multiple platforms. Another consideration is domain changes rapidly, making cross-domain analysis difficult than...

Internet of Things (IoT) applications are increasingly being adopted for innovative and cost-effective services. However, the IoT devices data susceptible to various attacks, including cyberattacks, which emphasizes need pervasive security measure like trust evaluation on fly. There exist several numerical trustworthiness measures based quality information (QoI) correlations. The QoI measurement techniques excessively exploit heuristics, while correlation-based approaches predict temporal...

Smart grids use Internet of Things (IoT) devices and play a vital role in promoting sustainable environment by balancing energies received from different sources. Like other IoT-based systems, cybersecurity smart meters is an important issue, as data breaches can cause imbalanced load distribution increased electricity cost. Therefore, protection for advance energy systems. A notable recent approach assessing meters' trustworthiness assumes the difference between arithmetic harmonic means...

The challenging but intriguing problem of modeling opinion formation dynamics in online social networks (OSNs) has attracted many researchers recent years because the inherent complexities present human update process are yet to be clearly understood. Although existing works adopt distance-based homophily principle model neighbors' influences on an agent's opinion, they ignore several other key factors that govern process. Explicitly, we consider two essential aspects real-world were not...

Progressive fibrosis and cirrhosis, clinically presenting as end-stage liver disease are common outcomes in alcoholic Liver (ALD) patients. A variety of laboratory tests available to assist the progression diagnosis cirrhosis end stage disease. The aim this study is identify potential novel biomarkers for cirrhosis. evaluated included function indicators including serum ferritin, prothrombin time, albumin, total bilirubin, alanine aminotransferase (ALT), aspartate (AST),...

Trustworthiness in an online environment is essential because individuals and organizations can easily be misled by false malicious information receiving from untrustworthy users. Though existing methods assess users' trustworthiness exploiting Twitter account properties, their efficacy inadequate of Twitter's restriction on profile tweet size, the existence missing or insufficient profiles, ease to create fake accounts relationships pretend as trustworthy. In this paper, we present a...

The increasing attacks on traffic signals worldwide indicate the importance of intrusion detection. existing signal Intrusion Detection Systems (IDSs) that rely inputs from connected vehicles and image analysis techniques can only detect intrusions created by spoofed vehicles. However, these approaches fail to in-road sensors, controllers, signals. In this paper, we proposed an IDS based detecting anomalies associated with flow rate, phase time, vehicle speed, which is a significant...

Routing in an Opportunistic Network (OppNet) is a challenging problem due to the absence of complete end-to-end path from source destination. Consequently, Opp-Net routing protocols use store and forward with multiple copies or replicas message network achieve higher delivery ratios. Although flooding many improves chances delivery, it causes contention latency. Quota based deal this by placing upper bound on number per network. However, resource saving solution achieved at cost performance....

Internet of Things (IoT) is enabling us to introduce cost-effective, innovative and intelligent services in business, industrial, government application domains. Despite these huge potential benefits IoT applications, since the backbone connects numerous heterogeneous devices, vulnerable many different attacks thus has been a honey pot cybercriminals hackers. For this reason, against devices are increasing sharply recent years. To prevent detect attacks, ethical hacking paramount importance....

Transmission Control Protocol (TCP) congestion control algorithm works well for the wired networks where most of timeouts and 3-dupacks are result congestion. In wireless networks, random segment loss due to bit errors is a dominant concern, arrival duplicate acknowledgements or even retransmission do not necessarily denote those cases, throttling transmission rate necessary rather detrimental. For this reason, existing TCP algorithms fail perform in networks. paper, we propose new NewReno+...

Due to limited storage capacity in the DTN nodes, congestion occurs when too many bundles are contending for this scarce resource. As a result, bundle loss increases and delivery ratio of network suffers. In proactive scheme, node can decide whether accept or reject custody new based on its current status. paper, we propose novel control scheme DTN. Our ranks incoming using their priority TTL. When occurs, accepts rejects ranks. We also use concept head line blocking, confidence level,...

Opinion formation in social networks has changed a more rigorous way due to the inception of Online Social Networks (OSNs) as platform generating and sharing huge amount contents well easy ubiquitous access varied information sources. Our opinions are not only updated through interactions with our neighbours OSNs, but also shaped by received from sources external native OSNs. Current models consider neighbours' influence opinion evolution, thus lack impact other sources, e.g., news media,...

Mass participation of the members a society in discussions to resolve issues related topic leads forming public opinion. The timeline underlying dynamics goes through several distinguishable phases, and experiences transition from one another. After initiated by concerned individuals, it draws active attention almost everyone, with time progression, people's starts declining as are resolved or lost attraction. existing works literature capture opinion formation process pay model its phase...

The smart grids make the electricity power systems automated and intelligent by using advanced technologies such as IoT sensors meters, communication technologies. This automation processing render more vulnerable to different types of severe cyberattacks like DDoS, man-in-the-middle desynchronization attacks. Making robust against attacks requires use strong access control encryption techniques. existing models in focus on user authentication data encryption, limiting model's ability...