10 research outputs found
Survey of wormhole attack in wireless sensor networks
No full textFrom the last decade, a wireless sensor network (WSN) has a very important role over the networks. The primary features of WSN include satellite communication, broadcast channel, hostile environment, medical system and data gathering. There are a lot of attacks available in WSN. In wormhole attack scenario is brutal from other attacks, which is smoothly resolved in networks but tough to observe. This survey paper is an experiment to observing threats and also focuses on some different method to identify the wormhole attacks
NL-IDS: Trust Based Intrusion Detection System for Network layer in Wireless Sensor Networks
No full textIntrusion Detection System in Wireless Sensor Networks for Wormhole Attack Using Trust-Based System
No full textIntrusion detection in wireless sensor network (WSN) has been a critical issue for the stable functioning of the networks during last decade. Wireless sensors are small and cheap devices that have a capacity to sense actions, data movement, and communicate with each other. It is a self-governing network that consists of sensor nodes deployed in a particular environment, which has wide applications in various areas such as data gathering, military surveillance, transportation, medical system, agriculture, smart building, satellite communication, and healthcare. Wormhole attack is one of the serious attacks, which is smoothly resolved in networks but difficult to observe. There are various techniques used to detect the malicious node such as LITEWORP, SAM, DelPHI, GRPW, and WRHT. This chapter focuses on detection methods for wormhole attacks using trust-based systems in WSN. </jats:p
Survey of wormhole attack in wireless sensor networks
No full textFrom the last decade, a wireless sensor network (WSN) has a very important role over the networks. The primary features of WSN include satellite communication, broadcast channel, hostile environment, medical system and data gathering. There are a lot of attacks available in WSN. In wormhole attack scenario is brutal from other attacks, which is smoothly resolved in networks but tough to observe. This survey paper is an experiment to observing threats and also focuses on some different method to identify the wormhole attacks
A Novel Intrusion Detection System for Detecting Black Hole Attacks in Wireless Sensor Network using AODV Protocol
No full textWireless Sensor Networks (WSN) has wide application in data gathering and data transmission as per the user’s requirement and it consist of number of nodes. These nodes have limited battery power, limited resources and limited computational power .Due to all these factors, WSN faces more security threats. Security issues are a vital problem to be solved in Wireless Sensor networks (WSNs). Different types of intrusion detection systems (IDS) are developed to make WSN more secure. In this paper the proposed IDS are based on watchdog monitoring technique and are able to detect Black Hole attacks using AODV (Ad- Hoc On-Demand Distance Vector) Protocol. Besides, the betterment that makes watchdog monitoring technique more reliable are described and the results of simulations of the IDS on NS-2 simulator are presented
HCSRL: hyperledger composer system for reducing logistics losses in the pharmaceutical product supply chain using a blockchain-based approach
No full textAbstract Blockchain technology uses a secure and decentralised framework for transaction management and data sharing within supply chains. This is particularly crucial in the pharmaceutical industry, where product authenticity and traceability are paramount. Blockchain plays a pivotal role in preventing product loss and counterfeiting, while simultaneously enhancing transparency and efficiency throughout the supply chain. The research introduces a step-by-step approach to implementing a proof-of-concept (PoC) for Supply Chain Risk Management (SCRM) through blockchain technology. This PoC involves simulating a supply chain process to assess feasibility and measure key performance indicators. Engaging stakeholders and gathering feedback is integral to refining the blockchain-based SCRM system. The study rigorously evaluates the performance of the SCRM blockchain across various test scenarios, featuring differing numbers of organizations and clients. Multiple fabric networks are employed to assess the system’s scalability and performance under diverse conditions. The results of these comprehensive tests inform practical deployment decisions and highlight areas for potential optimization and further development. So this research provides valuable insights into the application of blockchain in pharmaceutical supply chains, offering a roadmap for implementation and improving supply chain security, efficiency, and transparency
LB-IDS: Securing Wireless Sensor Network Using Protocol Layer Trust-Based Intrusion Detection System
No full textWireless sensor network (WSN) faces severe security problems due to wireless communication between the nodes and open deployment of the nodes. The attacker disrupts the security parameters by launching attacks at different layers of the WSN. In this paper, a protocol layer trust-based intrusion detection system (LB-IDS) is proposed to secure the WSN by detecting the attackers at different layers. The trust value of a sensor node is calculated using the deviation of trust metrics at each layer with respect to the attacks. Mainly, we consider trustworthiness in the three layers such as physical layer trust, media access control (MAC) layer trust, and network layer trust. The trust of a sensor node at a particular layer is calculated by taking key trust metrics of that layer. Finally, the overall trust value of the sensor node is estimated by combining the individual trust values of each layer. By applying the trust threshold, a sensor node is detected as trusted or malicious. The performance of LB-IDS is evaluated by comparing the results of the three performance parameters such as detection accuracy, false-positive rate, and false-negative rate, with the results of Wang’s scheme. We have implemented jamming attack at the physical layer, back-off manipulation attack at the MAC layer, and sinkhole attack at the network layer using simulations. We have also implemented a cross-layer attack using the simulation where an attacker simultaneously attacks the MAC layer and network layer. Simulation results show that the proposed LB-IDS performs better as compared with Wang’s scheme
Data Privacy and Compliance in Information Security
No full textIn today’s digital age, protecting sensitive data is a paramount concern. This chapter explores the intricate relationship between data privacy and compliance in information security, discussing the challenges, regulations, and best practices involved. Data privacy is crucial in a world where personal information is constantly collected, stored, and shared. The chapter highlights the potential risks and consequences of data breaches and unauthorized access, emphasizing the importance of implementing robust security measures. Compliance in information security is a complex landscape. The chapter examines legal frameworks like the GDPR and CCPA, which aim to safeguard privacy rights. It discusses the challenges that organizations face in achieving compliance and the potential repercussions of non-compliance. To ensure data privacy and compliance, the chapter outlines best practices. It emphasizes a comprehensive approach, including encryption techniques, access controls, security audits, and fostering privacy awareness within organizations. The chapter concludes by emphasizing the evolving nature of data privacy and compliance. It highlights the need for continuous learning and adaptation to keep pace with emerging technologies, changing regulations, and ever-changing threats. Overall, this chapter provides a comprehensive overview of the critical issues surrounding data privacy and compliance in information security. It serves as a valuable resource for individuals, organizations, and policymakers navigating the complex landscape of data protection and ensuring the privacy and security of sensitive information.</p
Performance Assessment of Different Sustainable Energy Systems Using Multiple-Criteria Decision-Making Model and Self-Organizing Maps
No full textThe surging demand for electricity, propelled by the widespread adoption of intelligent grids and heightened consumer interaction with electricity demand and pricing, underscores the imperative for precise prognostication of optimal power plant utilization. To confront this challenge, a dataset centered on issue-centric power plans is meticulously crafted. This dataset encapsulates pivotal facets indispensable for attaining sustainable power generation, including meager gas emissions, installation cost, low maintenance cost, elevated power generation, and copious resource availability. The selection of an optimal power plant entails a multifaceted decision-making process, demanding a systematic approach. Our research advocates the amalgamation of multiple-criteria decision-making (MCDM) models with self-organizing maps to gauge the efficacy of diverse sustainable energy systems. The examination discerns solar energy as the preeminent MCDM criterion, securing the apex position with a score of 83.4%, attributable to its ample resource availability, considerable energy generation, nil greenhouse gas emissions, and commendable efficiency. Wind and hydroelectric power closely trail, registering scores of 75.3% and 74.5%, respectively, along with other energy sources. The analysis underscores the supremacy of the renewable energy sources, particularly solar and wind, in fulfilling sustainability objectives and scrutinizing factors such as cost, resource availability, and the environmental impact. The proposed methodology empowers stakeholders to make judicious decisions, accentuating facets that are required for more sustainable and resilient power infrastructure
