CATCH: Comparison and analysis of tools covering honeypots

Nagpal, Bharti; Singh, Nanhay; Chauhan, Naresh; Sharma, Pratima

doi:10.1109/icacea.2015.7164809

Cited by 16 publications

(12 citation statements)

References 1 publication

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“…Proactive cloud nodes can implement basic through the most sophisticated detective control methods using artificial intelligence, honeypotting, intrusion detection systems, etc. [66], [67].…”

Section: Proactive and Passive Cloud Nodesmentioning

confidence: 99%

A Secure Data Infrastructure for Personal Manufacturing Based on a Novel Key-Less, Byte-Less Encryption Method

et al. 2020

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We are witnessing the advent of personal manufacturing, where home users and small and medium enterprises manufacture products locally, at the point and time of need. The impressively fast adoption of these technologies indicates this approach to manufacturing can become a key enabler of the real-time economy of the future. In this paper, we contribute a secure and dependable infrastructure and architecture for that new paradigm. Our solution leverages physical limitations of the computational process into a defense strategy that makes distributed file storage and transfer highly secure. The main idea is to replace asymmetric or public-key encryption functions with an unkeyed, collision, second preimage, and preimage resistant cryptographic hash function. Such a cryptosystem does not have an inverse function H-1. We challenge each block hash against the full hash table to recreate the original message. To illustrate the approach, we describe secured protocols that provide a number of desirable properties during both data storage and streaming. Similar to proof-of-work blockchain consensus algorithms, we parameterized the solution based on the amount of infrastructure available. Experiments show the proposed method can recalculate hashes for a 3-dimensional live matrix of 256 3 at an average of 14 revisions per second, and one revision every 5 minutes for a bigger matrix of 4096 3. The increase in cloud infrastructure cost is insignificant compared to the level of protection offered. INDEX TERMS Communication system security, computer aided manufacturing, content distribution networks, data security, data storage systems, distributed computing, information security, intelligent manufacturing systems, technology social factors, virtual manufacturing.

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Section: Proactive and Passive Cloud Nodesmentioning

confidence: 99%

A Secure Data Infrastructure for Personal Manufacturing Based on a Novel Key-Less, Byte-Less Encryption Method

et al. 2020

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“…Specter can emulate some network services, as well as some systems of the most common operations. It is classified between as a medium-interaction honeypot and emulates various services such as FTP, POP3, and HTTP [30]. Specter is usable on operating systems based on Windows NT, 2000 or XP [28].…”

Section: 4mentioning

confidence: 99%

A Smart Agent Design for Cyber Security Based on Honeypot and Machine Learning

Kamel

Eddabbah

Lmoumen

et al. 2020

Security and Communication Networks

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The development of Internet and social media contributes to multiplying the data produced on the Internet and the connected nodes, but the default installation and the configuration of variety of software systems represent some security holes and shortcomings, while the majority of Internet users have not really set up safety awareness, leading to huge security risks. With the development of network attack techniques, every host on the Internet has become the target of attacks. Therefore, the network information security cannot be ignored as a problem. To deal with 0-day and future attacks, the honeypot technique can be used not only passively as an information system, but also to reinforce the traditional defense systems against future attacks. In this paper, we present an introduction of machine learning and honeypot systems, and based on these technologies, we design a smart agent for cyber-attack prevention and prediction.

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“…Honeypot Framework is a deceptive defense method designed to serves two purposes: early warnings and forensic analysis. These systems are placed to mislead cyber attackers, and then to detect and study the attempts to gain unauthorized access to information systems [10], [11]. Honeypot frameworks are relatively new technology and being adopted by large cloud service providers.…”

Section: B Deceptive Defense Mechanismsmentioning

confidence: 99%