Wireless sensor network is deployed in an unreachable place for humans. There are significant problems in WSN to transfer data from source node to destination node. Reliable data transfer is one of the most important aspects. Nodes that having low energy signal while transmitting the data to the neighbor node and if it does not reach the destination because of low energy then these nodes will consider as faulty nodes. There is a need for protocol or algorithm which can help to solve faulty node issues and provides high reliability. End to End reliability is essential to recognize the reliable,effective shortest path from source to destination nodes. Since nodes will not recognize the shortest paths time taken is more to transfer data from source node to destination node. The proposed research work utilizes Ant Colony Optimization(ACO) to check and identify the shortest path. The Shortest path will be identified by sending dummy data by using ACO. It will also help to check the effect of failed link and how it retrieves when there is a failure of link. With the help of ACO Fault tolerance can also be presented. With the help of this process data loss can be reduced and provide reliable transfer of data packets. To improve the lifetime of the network and to avoid data loss whole data will be converted into multiple packets. The parameters in the proposed work are transmission rate,data loss efficiency,energy level. 

Reliable Wireless Sensor Network using Ant Colony Optimization (ACO)

Two attacks on WiFi beacons are demonstrated in this work, which can significantly drain the battery life of wireless devices. Altering of the TIM which is a beacon parameter as an exploit is also explored in theory in this paper. The first method exploits a natural network property using beacons, while the second extends the first method by targeting a single device with multiple beacons. The manipulation of a specific sub-information element in the beacon frame is also explored for battery-draining purposes. An external WiFi adapter was used to broadcast beacon frames generated with the Scapy tool. It was found that even the latest WiFi security standard, WPA3 (WiFi Protected Access), cannot protect devices from these attacks. To evaluate the effectiveness of the attack, multiple tests were conducted on a Windows laptop, with the results and analysis presented in this paper. This research highlights the need for further improvements in WiFi beacon security to protect devices from battery-draining attacks.

Battery Drain using WiFi Beacons

Software Defined Networking (SDN) help for networking design which aims to deal with association and control flexibility. SDN is associated with the open stream and ODIN V2, which is used for long-distance correspondence in general. Its strategy is central, deft, and well-organized. With the advent of reasonably speed internet and common calculating processors, people now have the ability to access an original atmosphere of opportunities and challenges at their fingers. This most recent start of innovation has impacted areas such as education, organization, business, clinical, and corporate settings. This introduction of IoT, the number of connected devices will be greater than at any point in recent memory. These threats are designed to tamper with the information’s dependability, infiltrate various initiatives in order to spread farther, and to profit financially Ransomware has recently become the most well-known virus that has made headlines. This type of malware infection encrypts client explicit documents and demands a payment in exchange for their retrieval. Programming characterized organizing, or SDN, is the smoothing out and centralization of large commercial network organization. The most typical benefits of SDN can be described with traffic programmability, readiness, and the ability to support strategy-driven for checking the network and send network robotization. Programming projects can use an organization engineering method to supervise and organize the organization in a thoughtful and halfway manner. This allows administrators to deal with the entire company uniformly and exhaustively, regardless of the hidden organization innovation. Current ransom ware behavior shows the infection spreading from the host victim to other PCs and shared drives inside the company. This document offers a point-by-point analysis of ransomware and the malware’s flow patterns. The time taken for Crypto Wall ransomware encryption using AES is measured for various data volumes, and an SDN strategy for ransomware risk mitigation is discussed.

Enhancing Security for IoT Devices using Software Defined Networking (SDN)

There are numerous ways to categories cloud computing services, including scalability, availability, and a broad range of services. Without paying any additional fees, cloud computing enables you to save and access data and perform activities through the internet. Storage area of the system. Using the cloud to store data removes the stress related to storage space, new storage equipment purchases, and data management. It has unlimited access to personal data, and anywhere with access to the internet. However, the growing security issues have resisted the enterprises' use of cloud connectivity entire computation Therefore, security issues have emerged as cloud computing's main disadvantage. In this proposed system, modified honeypot techniques has been used for secure data storage in cloud computing. In order to safeguard user data stored in cloud storage, this method parameter will be a successful security system, such as encryption, authentication, and authorization.

Modeling of Secure Authentication Schemes in Cloud Computing based on Hybrid Data Classification

WSNs are the cornerstone of continuous environmental observation, which introduces sensory tunnels and necessitates constant adjustability in order to gather and transmit meteorological information to the base station. Interest in low-power (WSN) wireless networks has increased as a result of the development of the Internet of Things (IoT). These networks are utilized for tasks including data gathering, process monitoring, and independent work management in a number of industries, such as the military, transportation, and health care. When wireless nerves in wireless neural networks are powered by batteries, their health and performance deteriorate. By using energy from the vicinity of the sensor to power the device, it is feasible to increase the sensor's lifespan while still achieving environmental performance. The expense of replacing batteries is drastically reduced by the use of energy harvesters in environmental field structures that power sensory hubs less frequently. Familiarity with the data collected and setting the start and end power thus charging the battery automatically when power reaches the limit value.

Energy optimization in multiple sensors based WSN

In this era where the trend runs behind adapting wireless medium to communicate and sensing of data. Clustering is a process of grouping up of similar nodes and proposed work is to build path to transmit the messages which has more priority like hospital data, defense system data. To get the reliable network there is a requirement of cluster all the deployed nodes/motes and elect cluster head for each cluster. Cluster head will be elected based on optimal cluster head selection algorithm which is based on received signal strength index of the anchor motes in cluster. For monitoring whole network there is a need of SDN (software defined network) which is a new trend in the wireless network domain. This SDN based proposed work can assure to provide reliable network for the essential communication.

N Jeevan

Papers

Enhancing Reliability of Wireless Sensor Network Without Affecting Other QOS Parameters