how to use wireshark to get ip from fb chat

As a result, live forensics can become more relevant and dependable for collecting reasonable artifacts from private browsers. In this paper, a collection of research will be analyzed, that have been carried out to identify and collect artifacts of web browsers having secrecy features for examination, validation, and find out potential ways to use the collected information during active investigations. These features are great challenges and obstacles for forensic investigators.

The increased demand for cybersecurity, including data privacy, secrecy, and anonymity, becomes the reason for enhanced privacy and anonymity in common web browsers and specialized web browsers to achieve such purposes. Web browsers are ubiquitous applications to access public and private applications over the Internet, Intranet, and Extranet.

In the end, the paper focuses on the current research challenges and future research directions related to integrating FL and blockchain for vehicular networks. Then, FL and blockchain applications in the Vehicular Ad Hoc Network (VANET) environment from security and privacy perspectives are discussed in detail. This survey initially explores the vehicular network and STI in detail and sheds light on the blockchain and FL with real-world implementations. Blockchain can be a solution to data integrity and can add more security to the STI. Blockchain is a distributed ledger that can store data while providing trust and integrity assurance. FL can be used to address the issues of privacy preservation and handling big data generated in STI management and control. These issues can be addressed using Federated Learning (FL) and blockchain. Computation cost, communication overheads, and privacy issues are significant concerns for wide-scale ML adoption within STI. However, some decisions are very challenging due to the vast number of STI components and big data generated from STIs. Advanced machine learning (ML) techniques are being used to strengthen the STI smartness further. The Smart Transport Infrastructure (STI) era depends mainly on the IoT. The Internet of Things (IoT) revitalizes the world with tremendous capabilities and potential to be utilized in vehicular networks. Finally, the proposed survey identifies and derives current challenges and future research directions in computer forensics. The proposed survey also presents a comparative analysis based on the tool’s characteristics to facilitate investigators in tool selection during the forensics process. The proposed research survey focuses on identifying the current state-of-the-art digital forensics concepts in existing research, sheds light on research gaps, presents a detailed introduction of different computer forensic domains and forensic toolkits used for computer forensics in the current era. Forensic agencies and law enforcement departments use several digital forensic toolkits, both commercial and open-source, to examine digital evidence. Cyberattacks on computing machines leave certain artifacts on target device storage that can reveal the identity and behavior of cyber-criminals if processed and analyzed intelligently. With the alarmingly increasing rate of cybercrimes worldwide, there is a dire need to combat cybercrimes timely and effectively. The results support LEAs to identify the cybercriminals’ specific traffic and help in analyzing and comparing the mobile phone data with the network traffic. A method called rule-based extraction for sniffing packets is proposed for extracting the most relevant data from the network traffic. This research article’s primary purpose is to find the IP address of the cybercriminal using WhatsApp through existing sniffing techniques and tools. The most challenging part is to retrieve specific information from the network traffic of a particular IM Application such as WhatsApp. The technological advancement of smartphones and the versatility of Instant Messaging (IM) applications provide multiple communication channels to cybercriminals for communication, making it difficult for the LEAs to monitor/investigate using traditional forensics tools and techniques. It provides valuable information in the investigation, such as time and date and the duration of incoming and outgoing calls.

Call record analysis is the most critical task for the Law Enforcement Agencies (LEAs) in a cyber-investigation process.

How to use wireshark to get ip from fb chat