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A Honeypot for a Small Network using Raspberry pi

Rodney Anthony Raj, Chayapathi A R , , ,

Affiliations
Information science and engineering, Acharya Institute of Technology, Doctor Sarvepalli Radhakrishnan Rd, Bengaluru, Karnataka 560107, India.

:10.22362/ijcert/2017/v4/i8/xxxx [UNDER PROCESS]

Abstract

The security is the biggest worry around the world let it be in any field or life. It is nothing different in cyber or network where the security is the biggest concern thinking about attacks which could happen anytime. So, this project is upon security, cyber security. Where a forensic device is built to monitor the network, and find the details of attackers1. This device does not act as an antivirus rather pulls the attacker to run some exploits and make them fall into the trap, a honeypot device which will perform all this when connected to a network. This device can also be used in forensics during crime scene to identify if any attacker is trying to steal any data. This device will not completely screen off the attacker or the attack but rather will notify and keep us on the tab by telling us thereâ€™s attack which may happen or happening. Attacks will never be stopped if we are connected to the internet. Hence, the solution provided here is to find out the attackers.

Citation

Rodney Anthony Raj, Chayapathi A R . (2017).A Honeypot for a Small Network using Raspberry pi. International Journal of Computer Engineering In Research Trends, 4(8), 319-324. Retrieved from http://ijcert.org/ems/ijcert_papers/V4I8001.pdf

Keywords : Malware, Raspberry pi, Honeypot, Cybercrime, Rootkits, Attacker, network, PUTTY, Nmap and Hacker.

References

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3.	A survey of cybercrime. Zhicheng Yang., 2012.
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5.	Evolution, Detection, and Analysis of Malware for Smart Devices Guillermo Suarez-Tangil, Juan E. Tapiador, Pedro Peris-Lopez, and Arturo Ribagorda, 2012.
6.	A Survey on Techniques in Detection and Analyzing Malware Executables Kirti Mathur, 2012.
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8.	Malware and cyber crime. House of Commons, Science and Technology Committee. 2012.
9.	Malware and Malware Detection Techniques: A Survey. Jyoti Landage, 2011.
10.	A Survey on Malware Attacks on Smartphones Kireet, Dr.Meda, and Sreenivasa Rao, 2011.
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14.	Cyber Black Box: Network intrusion forensics system for collecting and preserving evidence of attack, Jong Hyun Kim, Australian Fornsics, 2015
15.	Cybersecurity:risks, vulnerabilities and countermeasures to prevent social engineering attacks Conteh, Schmick, 2016

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Citations Indices	All
Citations	1026
h-index	14
i10-index	20
Source: Google Scholar

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DOI:10.22362/ijcert

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