A Survey on Code Injection Attacks in Mobile Cloud Computing Environment

Nisha, O. S. Jannath; Bhanu, S. MarySaira

doi:10.1109/confluence.2018.8443032

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…Nodes, an alternative term for sensors, are susceptible to node-capturing attacks, in which a malicious node is substituted for the original node or the node is captured. The attacker can introduce malicious or fake code into the node through an over-the-air firmware or software upgrade, resulting in incidents of fake data injection incidents or fraudulent code injection [14]. There is no built-in security at all for these sensors and actuators.…”

Section: A Physical Layermentioning

confidence: 99%

“…Malicious code injection into the memory of a node is termed malicious code injection, also known as MCI or fake data injection attacks [19], [14]. These nodes may be used as a gateway for a variety of unauthorized activities, including providing false information and breaking into or taking over a whole Internet of Things network.…”

Section: ) Malicious Code Injection Attackmentioning

confidence: 99%

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A Survey on Addressing IoT Security Issues by Embedding Blockchain Technology Solutions: Review, Attacks, Current Trends, and Applications

Huan,

Zukarnain

2024

IEEE Access

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By 2025, the Internet of Things (IoT) infrastructure is projected to encompass over 75 billion devices, facilitated by the increasing proliferation of intelligent applications. The Internet of Things ecosystem consists of sensors that function as data generators and applications that necessitate financial transactions to compensate the data producers. Security is a highly important concern. Employing blockchain technology makes it feasible to enhance security by maintaining payments in a ledger that is not just secure but also translucent, distributed, and immutable. This article provides an introductory overview of the Internet of Things (IoT) and subsequently delves into the many security threats and vulnerabilities arising within the IoT framework. This study provided an overview of the blockchain, focusing on its categorization and important properties. Moreover, this article examines the necessity of combining blockchain technology with the Internet of Things (IoT), in addition to reviewing relevant literature and the studies conducted by other scholars. This article offers insight into the uses of blockchain on the Internet of Things (IoT).

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Section: A Physical Layermentioning

confidence: 99%

Section: ) Malicious Code Injection Attackmentioning

confidence: 99%

A Survey on Addressing IoT Security Issues by Embedding Blockchain Technology Solutions: Review, Attacks, Current Trends, and Applications

Huan,

Zukarnain

2024

IEEE Access

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“…They also addressed the theme XSS, Chin and Wagner attacks [7] and the work presented by Nisha and Bhanu [8], focusing on Android applications using WebView and IOS applications that used UIWebView in the development of mobile applications, the study also addressed how efficient existing solutions are in this type of attack.…”

Section: Structurementioning

confidence: 99%

“…To avoid this type of attack [8], the developer must appropriately sanitize inputs received from the client side by removing characters, terms related to HTML, Javascript, or SQL code from the input.…”

Section: Injectionmentioning

confidence: 99%

Case study to identify vulnerabilities in applications developed for the Android

Andrade¹

2022

ARIS2-Journal

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The growing use of mobile devices has caused many developers to focus more on design and user experience, but with this neglected security issues, whether due to lack of knowledge in this field or lack of delivery time, thus exposing thousands of users to information leaks among other malicious actions. In this sense, this work aims to expose the main vulnerabilities that impact the security of a mobile application, going through analyzes in mobile applications, with the intention of alerting developers about the flaws that are usually present in the applications due to bad coding practices and to reflect on how to make your apps more secure.

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Secure cloud-based mobile apps: attack taxonomy, requirements, mechanisms, tests and automation

Chimuco

Sequeiros

Lopes

et al. 2023

Int. J. Inf. Secur.

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The adoption and popularization of mobile devices, such as smartphones and tablets, accentuated after the second decade of this century, has been motivated by the growing number of mobile applications, which can solve problems in different areas of contemporary societies. Conversely, the software development industry is motivated by the increasing number and quality of resources that mobile devices possess nowadays (e.g., memory, sensors, processing power or battery). While powerful mobile devices do exist, one of the main driving factors behind the increase of resources is the usage of Cloud technology, which strongly complement mobile computing. As expected, the adoption of measures to mitigate security issues has not accompanied the growth and speed of development for Cloud and Mobile software, to ensure that these are resilient to attacks by design. Aiming to contribute to decrease the gap between software and security engineering, this paper presents a deep approach to attack taxonomy, security mechanisms, and security test specification for the Cloud and Mobile ecosystem of applications. This is also the first time an encompassing and conjoined approach is provided for attack taxonomy and specification of security tests automation tools for this ecosystem.

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A Survey on Code Injection Attacks in Mobile Cloud Computing Environment

Cited by 6 publications

References 17 publications

A Survey on Addressing IoT Security Issues by Embedding Blockchain Technology Solutions: Review, Attacks, Current Trends, and Applications

A Survey on Addressing IoT Security Issues by Embedding Blockchain Technology Solutions: Review, Attacks, Current Trends, and Applications

Case study to identify vulnerabilities in applications developed for the Android

Secure cloud-based mobile apps: attack taxonomy, requirements, mechanisms, tests and automation

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