A Survey of Man In The Middle Attacks

By Mauro Conti, Nicola Dragoni, Viktor Lesyk. IEEE Communications Surveys and Tutorials, 2016

454 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/4270059750aedc456eeeff2ffdb55109138c182e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Tanesh Kumar
2. Mohamed Mosbah
3. Ömer Aslan
4. Bilal Muhammad Khan
5. Mika E. Ylianttila
6. Byung-Seo Kim
7. Akka Zemmari
8. Rana Asif Rehman

In Information Systems

1. Ömer Aslan
2. Mika E. Ylianttila
3. Andrei V. Gurtov
4. Ijaz Ahmad

In Signal Processing

1. Mohamed Mosbah
2. Ömer Aslan
3. Mika E. Ylianttila
4. Akka Zemmari
5. Parvez Faruki
6. Nadia Chaabouni
7. Cyrille Sauvignac

Citations in the corpus

• Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents (2024, unknown): “This assumption is realistic when users rely on third-party prompt engineering services, which could be malicious, or when a man-in-the-middle attacker (Conti et al., 2016) intercepts the user’s prompt by compromising the chatbot or the input formatting tools.”
• IoT Privacy and Security: Challenges and Solutions (2020, background): “Man in the middle attack e ff ectively makes the bank server recognize the transaction being done as a valid event since the adversary does not have to know the identity of the supposed victim [15].”
• Security for 5G and Beyond (2019, background): “it was possible for a false operator to impersonate the original operator and perform a man-in-the-middle attack [38].”
• IoT Elements, Layered Architectures and Security Issues: A Comprehensive Survey (2018, background): “It causes a serious threat to online security because they give the attacker the facility to capture and manipulate information in real time [42].”
• Network Intrusion Detection for IoT Security Based on Learning Techniques (2019, background): “a) Technical terms of the attacks: First, spoofing [34], [35] or impersonation attack sneaks authentication credentials to gain unauthorized service access.”
• A Comprehensive Review of Cyber Security Vulnerabilities, Threats, Attacks, and Solutions (2023, background): “Man-in-the-middle attack: The man-in-the-middle attack is the oldest type of cyber attack, in which a malicious person is secretly involved in communication between two parties [98].”
• Multilayer Data-Driven Cyber-Attack Detection System for Industrial Control Systems Based on Network, System, and Process Data (2019, methodology): “Cyber-attack scenario A is packet sniffing using MITM attack, which leverages a weakness in the address resolution protocol (ARP) to listen to the communication between two parties without their knowledge and potentially modify it [26].”