A hybrid framework for detecting structured query language injection attacks in web-based applications

Furhad, Md. Hasan; Chakrabortty, Ripon K.; Ryan, Michael J.; Uddin, Jia; Sarker, Iqbal H.

doi:10.11591/ijece.v12i5.pp5405-5414

Cited by 5 publications

(4 citation statements)

References 31 publications

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“…Although data will not be leaked due to hashing, backup is necessary to prevent data destruction. But, now cyber-attacks like SQL injection can be detected easily [31]. Future research may look into developing such a system, that does not need any database or internet connection to verify the product without negatively affecting cost and required time.…”

Section: Resultsmentioning

confidence: 99%

A cost-effective counterfeiting prevention method using hashing, QR code, and website

Hossain,

Begum,

Das

et al. 2024

IJAAS

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In this paper, we proposed a cost-effective software method to prevent counterfeiting where we used a website, quick-response (QR) code, and hashing. At the early stage of the product, the system will create a unique ID and a password with a random password generator for all products. Then, the password hash would be stored along with the ID in the database. At the same time, the password would be converted into a QR code for each product. The manufacturer will collect the QR code and ID and attach them to the product. When consumers attempt to verify the product, they will enter the website provided by the manufacturer and scan the QR code. After applying the same hash used before, the code will be checked on the database. After a successful check, the product entity will be destroyed and the life of the product ends. This paper contains flowcharts, figures, cost estimation, and a detailed explanation of the system. As it only requires domain hosting, thus the fixed cost of the system is so lower to bear for small enterprises also. We built a similar system using PHP, HTML, JavaScript for websites, and MYSQL for databases.

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Section: Resultsmentioning

confidence: 99%

A cost-effective counterfeiting prevention method using hashing, QR code, and website

Hossain,

Begum,

Das

et al. 2024

IJAAS

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“…They function as interfaces for patients, allowing them to access their health data, manage prescriptions, and interact directly with physicians. These apps encourage a proactive approach to health and help patients become more involved in their treatment, as outlined in [27,28,49]. Using IoT in healthcare, communication between patients and physicians improves significantly.…”

Section: Proposed Approachmentioning

confidence: 99%

Integrating the Internet of Things (IoT) in SPA Medicine: Innovations and Challenges in Digital Wellness

Casillo,

Cecere,

Colace

et al. 2024

Computers

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Integrating modern and innovative technologies such as the Internet of Things (IoT) and Machine Learning (ML) presents new opportunities in healthcare, especially in medical spa therapies. Once considered palliative, these therapies conducted using mineral/thermal water are now recognized as a targeted and specific therapeutic modality. The peculiarity of these treatments lies in their simplicity of administration, which allows for prolonged treatments, often lasting weeks, with progressive and controlled therapeutic effects. Thanks to new technologies, it will be possible to continuously monitor the patient, both on-site and remotely, increasing the effectiveness of the treatment. In this context, wearable devices, such as smartwatches, facilitate non-invasive monitoring of vital signs by collecting precise data on several key parameters, such as heart rate or blood oxygenation level, and providing a perspective of detailed treatment progress. The constant acquisition of data thanks to the IoT, combined with the advanced analytics of ML technologies, allows for data collection and precise analysis, allowing real-time monitoring and personalized treatment adaptation. This article introduces an IoT-based framework integrated with ML techniques to monitor spa treatments, providing tailored customer management and more effective results. A preliminary experimentation phase was designed and implemented to evaluate the system’s performance through evaluation questionnaires. Encouraging preliminary results have shown that the innovative approach can enhance and highlight the therapeutic value of spa therapies and their significant contribution to personalized healthcare.

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“…The system will follow the activity of the respondent to determine compliance with information security regulations. In order to identify structured query language injection (SQLi) assaults launched by insiders, Furhad et al [45] presented a hybrid approach in 2022 that combines a normal blockchain foundation with an SQL query matching technique (SQLMT). In the same year, Nguyen et al [46] proposed three models in order to improve the speed of detecting data breaches in control systems.…”

Section: Figure 2 Overview Of Grey Hole Attack [19]mentioning

confidence: 99%

Malicious attacks modelling: a prevention approach for ad hoc network security

Talib

Alothman

Mohammed

2023

IJEECS

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As a result of the expansions that have taken place in the field of networking and the increase in the number of users of networks, there have recently been breakthroughs made in the techniques and methods used for network security. In this paper, a virtual private network (VPN) is proposed as a means of providing the necessary level of security for particular connections that span across vast networks. After the network performance metrics such as time delay and throughput have been accomplished, the suggested VPN is recommended for the purpose of assuring network security. In addition, artificial intelligence attack predictors and virtual private networks have been implemented with the purpose of preventing harmful activity within such connections. Using a wide variety of machine learning methods like Random Forests and Nave Bays, malicious assaults of any kind can be identified and thwarted in their tracks. Another technique for anticipating attacks is the use of an artificial neural network, which is a type of system that engages in deep learning and learns the behaviors of attacks while it is being trained so that it can then predict attacks. The results of this study demonstrate that the use of machine learning and artificial intelligence techniques can significantly improve the security and performance of virtual private networks and can effectively identify and prevent malicious attacks on networks.

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A hybrid framework for detecting structured query language injection attacks in web-based applications

Cited by 5 publications

References 31 publications

A cost-effective counterfeiting prevention method using hashing, QR code, and website

A cost-effective counterfeiting prevention method using hashing, QR code, and website

Integrating the Internet of Things (IoT) in SPA Medicine: Innovations and Challenges in Digital Wellness

Malicious attacks modelling: a prevention approach for ad hoc network security

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