Call for Papers:Vol.11 Issue.4

Submission
Last date		 28-Aug-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-4. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Open Source Based Online Forensic Tool for Analysis of Malicious Activity over Email Traffic
PaperId: :  8466
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 3 2018
DUI:    16.0415/IJARIIE-8466
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Kumar ZinzuvadiaGTU PG SCHOOL
Nareshkumar GardasGTU PG SCHOOL

Abstract

Email Forensics
Email Forensics, Email Security, Traffic Analysis, Open Source
Email is ubiquitous in the contemporary commercial environment, providing a convenient and efficient method for communication. Email brings great convenience to people, but it also had a negative impact. However, involving email-related disputes and crime problems have become increasingly prominent. With the continuous development of network technology, Email has become an important means of information transmission and management in government agencies, enterprises and individuals, however, the subsequent problems of protecting web mail security has become a concern to users. Many cases of inability to determine the authenticity result in a lack of effectiveness of the evidence. In order to determine the authenticity of email evidence, a scientific appraisal is very important. Whenever you send an email message your computer generates additional information relevant to email. This additional information forms a trail of digital artifacts that can be followed when analyzing email messages. Email Forensics is concerned with the extraction of this additional data and using it to recover other information regarding emails. In addition, email has become a potential carrier of criminal evidence. Using email to spam, spread pornography, fraud and other criminal activities have become increasingly rampant. Therefore, technical appraisal of email plays an increasingly important role for analyzing and providing evidence. At present, there exists sizable amount of support for Open Source based methods for acquiring, identifying and analyzing web-based email, despite its widespread use. There is the need to achieve a systematic process for email forensics which integrates into the normal forensic analysis workflow, and which accommodates the distinct characteristics of email evidence.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Kumar Zinzuvadia, and Nareshkumar Gardas. "Open Source Based Online Forensic Tool for Analysis of Malicious Activity over Email Traffic" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 3 2018 Page 522-529
MLA Kumar Zinzuvadia, and Nareshkumar Gardas. "Open Source Based Online Forensic Tool for Analysis of Malicious Activity over Email Traffic." International Journal Of Advance Research And Innovative Ideas In Education 4.3(2018) : 522-529.
APA Kumar Zinzuvadia, & Nareshkumar Gardas. (2018). Open Source Based Online Forensic Tool for Analysis of Malicious Activity over Email Traffic. International Journal Of Advance Research And Innovative Ideas In Education, 4(3), 522-529.
Chicago Kumar Zinzuvadia, and Nareshkumar Gardas. "Open Source Based Online Forensic Tool for Analysis of Malicious Activity over Email Traffic." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 3 (2018) : 522-529.
Oxford Kumar Zinzuvadia, and Nareshkumar Gardas. 'Open Source Based Online Forensic Tool for Analysis of Malicious Activity over Email Traffic', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 3, 2018, p. 522-529. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Open_Source_Based_Online_Forensic_Tool_for_Analysis_of_Malicious_Activity_over_Email_Traffic_ijariie8466.pdf (Accessed : 16 May 2018).
Harvard Kumar Zinzuvadia, and Nareshkumar Gardas. (2018) 'Open Source Based Online Forensic Tool for Analysis of Malicious Activity over Email Traffic', International Journal Of Advance Research And Innovative Ideas In Education, 4(3), pp. 522-529IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Open_Source_Based_Online_Forensic_Tool_for_Analysis_of_Malicious_Activity_over_Email_Traffic_ijariie8466.pdf (Accessed : 16 May 2018)
IEEE Kumar Zinzuvadia, and Nareshkumar Gardas, "Open Source Based Online Forensic Tool for Analysis of Malicious Activity over Email Traffic," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 3, pp. 522-529, May-Jun 2018. [Online]. Available: https://ijariie.com/AdminUploadPdf/Open_Source_Based_Online_Forensic_Tool_for_Analysis_of_Malicious_Activity_over_Email_Traffic_ijariie8466.pdf [Accessed : 16 May 2018].
Turabian Kumar Zinzuvadia, and Nareshkumar Gardas. "Open Source Based Online Forensic Tool for Analysis of Malicious Activity over Email Traffic." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 3 (16 May 2018).
Vancouver Kumar Zinzuvadia, and Nareshkumar Gardas. Open Source Based Online Forensic Tool for Analysis of Malicious Activity over Email Traffic. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : 16 May 2018]; 4(3) : 522-529. Available from: https://ijariie.com/AdminUploadPdf/Open_Source_Based_Online_Forensic_Tool_for_Analysis_of_Malicious_Activity_over_Email_Traffic_ijariie8466.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/16/2018 12:37:58 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
QUANTIFYING THE EFFECTS OF EMOTIVE VS. DENOTATIVE LANGUAGE PROMPTS ON CHATGPT-3.5 RESPONSES: INSIGHTS FROM UTA STUDENTSTechnology in EducationMohamed Ataieb Hmouma Download
The Farmer PortalInformation TechnologySakshi Yede Download
DYNAMIC MULTI-KEY AUTHENTICATION FOR IOT SYSTEM USING SECURE VAULTSInformation Science EngineeringVinay M G Download
Eye Glaucoma Detection Using Machine LearningInformation Science & Engineering Uday M B Download
The Shift to Electronic Payment Methods in Commercial Banks: Benefits and ChallengesDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTSInformation TechnologyBHUKYA RAJAKUMAR Download
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
12