Malicious Website Detection Using Probabilistic Data Structure Bloom Filter

Nandhini, K.; Balasubramaniam, Ramesh

doi:10.1109/iccmc.2019.8819818

Cited by 5 publications

(5 citation statements)

References 7 publications

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“…The bloom filters are both in complex applications and in a simple use such as the one that the improved gradual impairment algorithm is called to do. For this problem, some remarks are made [ 34 , 39 , 57 , 58 ]: It has already been stated that we insert values into a bloom filter rather than items. On the other hand, each potential answer is fundamentally a list, or more specifically, an object that includes the serial numbers of the individual member groups.…”

Section: Discussionmentioning

confidence: 99%

Optimization of Cyber Tactics in Sports Strategies Using Hybrid AI Decision-Making Technologies

Duan¹

2022

Computational Intelligence and Neuroscience

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One of the main problems of modern research concerns the optimal design of solutions to address cybersecurity problems, with methods that provide the ability to choose an objective function different from that of the classic problem of more economical design while allowing the use of constraints on any possible variable during planning, including financial resources. The number of corresponding solutions concerns the issue of optimal design of security strategies with a simulation that lies in game theory, with players, the defender on one side defending the system managing the available options of strategic solutions, and the attacker, who chooses the way to strike the system, based on some attack scenarios that cannot be easily predicted. The inherent difficulty of implementing the proposed solutions lies in the combined explosion of all possible combinations that make up the solution space, the complete examination of which requires a lot of computational time and computing resources, to the point that their use becomes unprofitable. This weakness is attributed to even minor problems, and the possible strategies available to the defender are finite but at the same time numerous. To solve the abovementioned problem, the work proposes a hybrid system that aims to identify the best possible approach in the theoretically optimal solution in a short time and with minimal computing resources. Specifically, a heuristic optimization methodology is used with overlapping answers between two contiguous neighborhoods based on the Bloom Filters structure that supports fast listings and searches. This methodology, which is evaluated in optimizing safety strategies in the sports industry, brings about 40% optimization.

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Section: Discussionmentioning

confidence: 99%

Optimization of Cyber Tactics in Sports Strategies Using Hybrid AI Decision-Making Technologies

Duan¹

2022

Computational Intelligence and Neuroscience

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“…The primary glitch in all these data structures is the requirement of more and more space when private keys are attached with the data structure. Therefore, it is significant to use a space-efficient probabilistic data structure [54] for the storage of internal nodes. The Morton filter, an approximate set membership data structure, is used to overcome the problem.…”

Section: Methodsmentioning

confidence: 99%

Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing

Bhatia

Malhotra²

2021

Healthcare

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Electronic health records contain the patient’s sensitive information. If these data are acquired by a malicious user, it will not only cause the pilferage of the patient’s personal data but also affect the diagnosis and treatment. One of the most challenging tasks in cloud-based healthcare systems is to provide security and privacy to electronic health records. Various probabilistic data structures and watermarking techniques were used in the cloud-based healthcare systems to secure patient’s data. Most of the existing studies focus on cuckoo and bloom filters, without considering their throughputs. In this research, a novel cloud security mechanism is introduced, which supersedes the shortcomings of existing approaches. The proposed solution enhances security with methods such as fragile watermark, least significant bit replacement watermarking, class reliability factor, and Morton filters included in the formation of the security mechanism. A Morton filter is an approximate set membership data structure (ASMDS) that proves many improvements to other data structures, such as cuckoo, bloom, semi-sorting cuckoo, and rank and select quotient filters. The Morton filter improves security; it supports insertions, deletions, and lookups operations and improves their respective throughputs by 0.9× to 15.5×, 1.3× to 1.6×, and 1.3× to 2.5×, when compared to cuckoo filters. We used Hadoop version 0.20.3, and the platform was Red Hat Enterprise Linux 6; we executed five experiments, and the average of the results has been taken. The results of the simulation work show that our proposed security mechanism provides an effective solution for secure data storage in cloud-based healthcare systems, with a load factor of 0.9. Furthermore, to aid cloud security in healthcare systems, we presented the motivation, objectives, related works, major research gaps, and materials and methods; we, thus, presented and implemented a cloud security mechanism, in the form of an algorithm and a set of results and conclusions.

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“…Then, the website to be analyzed is collected by crawling, and the source is checked on the website with the registered signature. The characteristic of this analysis is that it has a faster inspection time than other analysis methods, so it is efficient in detecting a large number of inspection targets in a short time [5].…”

Section: Static Analysis Of Website Security Risksmentioning

confidence: 99%

A Study on the Measuring Methods of Website Security Risk Rate

Lee

2023

Applied Sciences

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Traditionally, website security risks are measured using static analysis based on patterns and dynamic analysis by accessing websites with user devices. Recently, similarity hash-based website security risk analysis and machine learning-based website security risk analysis methods have been proposed. In this study, we propose a technique to measure website risk by collecting public information on the Internet. Publicly available DNS information, IP information, and website reputation information were used to measure security risk. Website reputation information includes global traffic rankings, malware distribution history, and HTTP access status. In this study, we collected public information on a total of 2000 websites, including 1000 legitimate domains and 1000 malicious domains, to assess their security risk. We evaluated 11 categories of public information collected by the Korea Internet & Security Agency, an international domain registrar. Through this study, public information about websites can be collected and used to measure website security risk.

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Malicious Website Detection Using Probabilistic Data Structure Bloom Filter

Cited by 5 publications

References 7 publications

Optimization of Cyber Tactics in Sports Strategies Using Hybrid AI Decision-Making Technologies

Optimization of Cyber Tactics in Sports Strategies Using Hybrid AI Decision-Making Technologies

Morton Filter-Based Security Mechanism for Healthcare System in Cloud Computing

A Study on the Measuring Methods of Website Security Risk Rate

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