A Survey on Secure Communication Protocols for IoT Systems

Moinuddin, Khaja; Srikantha, Nalavadi; Lokesh, K S; Narayana, Aswatha

doi:10.18535/ijecs/v6i6.41

Cited by 5 publications

(3 citation statements)

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“…However, this interconnectedness has not come without its share of challenges, particularly concerning IoT security. The following elaboration delves into the primary issues that pose significant threats to the security of IoT ecosystems [5]:…”

Section: Security Issuesmentioning

confidence: 99%

IoT Security: Issues, the Best Practices and Open Challenges

Kolay,

Hiwarkar

2023

IJISE

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The Internet of Things (IoT) provides the facility to connect different devices and communicate and share information over the internet. The Internet of Things (IoT) has emerged as a transformative and pervasive technological paradigm, revolutionizing how we interact with our environment and infusing intelligence into everyday objects and devices. This interconnected ecosystem has unleashed a wave of innovative applications across diverse domains, including healthcare, transportation, agriculture, industrial automation, and smart cities. However, as the IoT footprint expands rapidly, it also brings to the forefront a multitude of complex and pressing security challenges that demand immediate attention and resolution. One of the primary security concerns in the IoT ecosystem is weak authentication and authorization mechanisms. Insufficient encryption measures can lead to data interception and manipulation, exposing confidential information to potential attackers. The lack of automated update mechanisms leaves numerous IoT devices susceptible to known exploits, necessitating the establishment of efficient update processes. With IoT devices deployed in the physical world, they become susceptible to tampering and theft, requiring robust physical security measures to safeguard their integrity. Standardization of security practices across the diverse IoT ecosystem is necessary to establish a unified and robust security framework. Security awareness and education are critical to empowering users and manufacturers to implement secure practices effectively. By comprehensively understanding and actively mitigating the key security issues, adopting best practices, and collaboratively addressing open challenges, we can forge a safer and more resilient IoT landscape that not only fosters innovation but also preserves user privacy and instills confidence in the trustworthiness of IoT technologies. This paper centers on addressing IoT security concerns and exploring the optimal practices to mitigate them. Finally, we point out open challenges as a scope of future research.

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Section: Security Issuesmentioning

confidence: 99%

IoT Security: Issues, the Best Practices and Open Challenges

Kolay,

Hiwarkar

2023

IJISE

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“…It can be used for exchanging data between various devices such as sensors and computers. The main focus of using sensing technologies is to introduce new technology into the agriculture for better crop production by collecting real-time status of cultivation area and to provide information to the farmers [11][12].…”

Section: Communication Technology Used For Data Storagementioning

confidence: 99%

A Survey on Deep Learning Based IoT Approach for Precision Crop Suggestion

Priya¹

2019

IJRASET

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Agriculture plays the main role in a country's economic development. In the recent agricultural practices, the variation in climatic phenomena affects the weather conditions in different regions and based on that the soil characteristics may also vary. This influences the crop to be sown for getting a better yield. In agriculture with the advent of new technology, farming practices are now converted into precision farming. It includes the use of modern technology such as the Internet of Things (IoT) and Data Analytics for optimal crop health and crop productivity. This improves the growth rate of the crops, but the problem among farmers is they are not choosing the right crop at right time. Although several algorithms are there the Deep Learning based Artificial Neural Networks is found to be more effective for prediction and modeling. The algorithm accuracy and the prediction level vary based on the type of parameters chosen. The proposed system helps the farmers by gathering information about the basic characteristics of their soil such as soil moisture level, temperature, pH, and humidity. In addition, the sensor provides valuable information about crops such as sowing time, fertilizer suggestion and real-time monitoring. These data can be collected using sensors and with the help of that data, the Deep Learning technique such as Deep Neural Network (DNN) which is an Artificial Neural Network (ANN) can be applied to end up with valuable decision making.

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“…The IoT challenges are mostly related to security and privacy, reliability, scalability and management [11]. Those challenges were studied and analyzed in many previous surveys such as [12][13][14]. IoT systems generally are being considered an essential infrastructure for future smart cities, smart transportation, heavy industries, smart hospital, higher education and military operations [15].…”

Section: Introductionmentioning

confidence: 99%