Cyber Honeypot

M. Sandhya Rani, Guda Ankitha, Polasani Harini, G Ravi
{"title":"Cyber Honeypot","authors":"M. Sandhya Rani, Guda Ankitha, Polasani Harini, G Ravi","doi":"10.32628/ijsrst52411168","DOIUrl":null,"url":null,"abstract":"In an era of escalating cyber threats, the need for robust defenses against malicious activities is paramount. In this project, we propose a novel approach to leverage honeypots in conju nction with Canary Tokens to accurately pinpoint the geographical locations of attackers. By strategically deploying these decoy resources across diverse network environments, we capture valuable data on unauthorized access attempts and malicious behavior. Through the analysis of Canary Tokens, which act as unique identifiers triggered upon interaction, we can trace the origin of these attacks to specific IP addresses. Utilizing this information, security professionals gain insights into the geographical distribution of attackers, aiding in threat intelligence, incident response, and the implementation of targeted security measures. This integration of project honeypots and Canary Tokens enhances network defense strategies, providing organizations with a proactive stance against cyber threats.","PeriodicalId":14387,"journal":{"name":"International Journal of Scientific Research in Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Scientific Research in Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32628/ijsrst52411168","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In an era of escalating cyber threats, the need for robust defenses against malicious activities is paramount. In this project, we propose a novel approach to leverage honeypots in conju nction with Canary Tokens to accurately pinpoint the geographical locations of attackers. By strategically deploying these decoy resources across diverse network environments, we capture valuable data on unauthorized access attempts and malicious behavior. Through the analysis of Canary Tokens, which act as unique identifiers triggered upon interaction, we can trace the origin of these attacks to specific IP addresses. Utilizing this information, security professionals gain insights into the geographical distribution of attackers, aiding in threat intelligence, incident response, and the implementation of targeted security measures. This integration of project honeypots and Canary Tokens enhances network defense strategies, providing organizations with a proactive stance against cyber threats.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
网络蜜罐
在网络威胁不断升级的时代,最需要的是针对恶意活动的强大防御。在本项目中,我们提出了一种利用 "蜜罐 "和 "金丝雀令牌 "来精确定位攻击者地理位置的新方法。通过在不同的网络环境中战略性地部署这些诱饵资源,我们可以捕捉到有关未经授权的访问尝试和恶意行为的宝贵数据。金丝雀令牌是互动时触发的唯一标识符,通过分析金丝雀令牌,我们可以将这些攻击的源头追溯到特定的 IP 地址。利用这些信息,安全专业人员可以深入了解攻击者的地理分布,有助于威胁情报、事件响应和有针对性的安全措施的实施。项目 "巢穴 "和金丝雀令牌的整合增强了网络防御策略,为企业提供了应对网络威胁的前瞻性措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Analysis of Radiation Dose Rate and Evaluation of Whole Body Scan SPECT/CT Images in Thyroid Carcinoma Radioablation Patients Using Radioisotope 131I Biodistribution and Absorption of Radiopharmaceutical 99mTc MDP in Various Bones of Lung Cancer Patients Using SPECT/CT Modalities Study of Intermolecular Interaction by Ultrasonic Measurements of 1-Butanol-Pyridine and Toluene-Pyridine at 303.15 To 323.15 K and Statistical Analysis of Liquid State Theories Review about Organic-Inorganic Perovskite Single Crystal : Synthesis Methods, Properties and Applications Machine Learning Based Liver Cirrhosis Detection Using Different Algorithm : A Review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1