A Honeypot for a Small Network using Raspberry pi
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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 there’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.
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References
2016: Current State of Cybercrime, RSA whitepaper.
Basic survey on Malware Analysis, Tools, and Techniques. Dolly Uppall, Vishaka Mehra, and Vinod Verma, 2013.
A survey of cybercrime. Zhicheng Yang., 2012.
Detecting and Classifying Morphed Malware: A Survey Sanjam Singla, 2012.
Evolution, Detection, and Analysis of Malware for Smart Devices Guillermo Suarez-Tangil, Juan E. Tapiador, Pedro Peris-Lopez, and Arturo Ribagorda, 2012.
A Survey on Techniques in Detection and Analyzing Malware Executables Kirti Mathur, 2012.
Malware Analysis and Classification: A Survey Ekta Gandotra, Divya Bansal, Sanjeev Sofat, 2012.
Malware and cyber crime. House of Commons, Science and Technology Committee. 2012.
Malware and Malware Detection Techniques: A Survey. Jyoti Landage, 2011.
A Survey on Malware Attacks on Smartphones Kireet, Dr.Meda, and Sreenivasa Rao, 2011.
Cybercrime and it’s types, analysis, and prevention techniques, Alpna, Sona Malhotra 2016.
Web based Forensic Systems, srivathsa rao, vinaya hegde, jyothi Prasad, ijsrt, 2011.
Y. Li and A. Nosratinia, “Security in cyber forensics,†Wireless Communications, IEEE Transactions on, vol. 11, no. 1, pp. 328–337, 2011.
Cyber Black Box: Network intrusion forensics system for collecting and preserving evidence of attack, Jong Hyun Kim, Australian Fornsics, 2015
Cybersecurity:risks, vulnerabilities and countermeasures to prevent social engineering attacks Conteh, Schmick, 2016