Critical Analysis and Countermeasures Tactics, Techniques and Procedures (TTPs) that targeting civilians: A case study On Pegasus

• URL: http://arxiv.org/abs/2310.00769v1
• Date: Sun, 1 Oct 2023 19:28:03 GMT
• Title: Critical Analysis and Countermeasures Tactics, Techniques and Procedures (TTPs) that targeting civilians: A case study On Pegasus
• Authors: Osama Hussien, Usman Butt, Rejwan Bin Sulaiman,
• Abstract summary: This paper investigates the targeting of journalists and activists by the malware Pegasus. Examines the far-reaching consequences of these attacks for cybersecurity policy. Describes some of the most important tactics that businesses may use to reduce the danger of cyberattacks.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Individuals, businesses, and governments all face additional difficulties because of the rise of sophisticated cyberattack attacks. This paper investigates the targeting of journalists and activists by the malware Pegasus. To gain a deeper understanding of the tactics utilized by cybercriminals and the vulnerabilities that facilitate their scope, this research looks on numerous occurrences and identifies recurring patterns in the strategies, methods, and practices employed. In this paper, a comprehensive analysis is conducted on the far-reaching consequences of these attacks for cybersecurity policy, encompassing the pressing need for enhanced threat intelligence sharing mechanisms, the implementation of more resilient incident response protocols, and the allocation of greater financial resources towards the advancement of cybersecurity research and development initiatives. The research also discusses how Pegasus will affect SCADA systems and critical infrastructure, and it describes some of the most important tactics that businesses may use to reduce the danger of cyberattacks and safeguard themselves against the 21st century's growing threats. The extent of Pegasus spyware, which can access various data and communications on mobile devices running iOS and Android potentially jeopardise the civil rights and privacy of journalists, activists, and political leaders throughout the world, was found to be worrying

Related papers

• Security in IS and social engineering -- an overview and state of the art [0.6345523830122166]
  The digitization of all processes and the opening to IoT devices has fostered the emergence of a new formof crime, i.e. cybercrime. The maliciousness of such attacks lies in the fact that they turn users into facilitators of cyber-attacks, to the point of being perceived as the weak link'' of cybersecurity. Knowing how to anticipate, identifying weak signals and outliers, detect early and react quickly to computer crime are therefore priority issues requiring a prevention and cooperation approach.
  arXiv  Detail & Related papers  (2024-06-17T13:25:27Z)
• A Comprehensive Analysis of Pegasus Spyware and Its Implications for Digital Privacy and Security [0.0]
  This paper comprehensively analyzes the Pegasus spyware and its implications for digital privacy and security. The research emphasizes the technical aspects of this spyware, its deployment methods, and the controversies surrounding its use. The paper presents potential solutions to mitigate the threats and protect users from invasive surveillance techniques.
  arXiv  Detail & Related papers  (2024-04-30T16:10:21Z)
• The New Frontier of Cybersecurity: Emerging Threats and Innovations [0.0]
  The research delves into the consequences of these threats on individuals, organizations, and society at large. The sophistication and diversity of these emerging threats necessitate a multi-layered approach to cybersecurity. This study emphasizes the importance of implementing effective measures to mitigate these threats.
  arXiv  Detail & Related papers  (2023-11-05T12:08:20Z)
• On the Security Risks of Knowledge Graph Reasoning [71.64027889145261]
  We systematize the security threats to KGR according to the adversary's objectives, knowledge, and attack vectors. We present ROAR, a new class of attacks that instantiate a variety of such threats. We explore potential countermeasures against ROAR, including filtering of potentially poisoning knowledge and training with adversarially augmented queries.
  arXiv  Detail & Related papers  (2023-05-03T18:47:42Z)
• Graph Mining for Cybersecurity: A Survey [61.505995908021525]
  The explosive growth of cyber attacks nowadays, such as malware, spam, and intrusions, caused severe consequences on society. Traditional Machine Learning (ML) based methods are extensively used in detecting cyber threats, but they hardly model the correlations between real-world cyber entities. With the proliferation of graph mining techniques, many researchers investigated these techniques for capturing correlations between cyber entities and achieving high performance.
  arXiv  Detail & Related papers  (2023-04-02T08:43:03Z)
• Global Pandemics Influence on Cyber Security and Cyber Crimes [5.8010446129208155]
  COVID-19 has caused widespread damage across many areas of life and has made humans more dependent on the internet and technology. This paper examines the different types of security threats and cyber crimes that people faced in the pandemic time and the need for a safe and secure cyber infrastructure.
  arXiv  Detail & Related papers  (2023-02-24T05:26:42Z)
• Towards Automated Classification of Attackers' TTPs by combining NLP with ML Techniques [77.34726150561087]
  We evaluate and compare different Natural Language Processing (NLP) and machine learning techniques used for security information extraction in research. Based on our investigations we propose a data processing pipeline that automatically classifies unstructured text according to attackers' tactics and techniques.
  arXiv  Detail & Related papers  (2022-07-18T09:59:21Z)
• Proceedings of the Artificial Intelligence for Cyber Security (AICS) Workshop at AAAI 2022 [55.573187938617636]
  The workshop will focus on the application of AI to problems in cyber security. Cyber systems generate large volumes of data, utilizing this effectively is beyond human capabilities.
  arXiv  Detail & Related papers  (2022-02-28T18:27:41Z)
• A System for Automated Open-Source Threat Intelligence Gathering and Management [53.65687495231605]
  SecurityKG is a system for automated OSCTI gathering and management. It uses a combination of AI and NLP techniques to extract high-fidelity knowledge about threat behaviors.
  arXiv  Detail & Related papers  (2021-01-19T18:31:35Z)
• Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain [58.30296637276011]
  This paper summarizes the latest research on adversarial attacks against security solutions based on machine learning techniques. It is the first to discuss the unique challenges of implementing end-to-end adversarial attacks in the cyber security domain.
  arXiv  Detail & Related papers  (2020-07-05T18:22:40Z)
• Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports [5.789368942487406]
  We evaluate several classification approaches to automatically retrieve Tactics, Techniques and Procedures from unstructured text. We present rcATT, a tool built on top of our findings and freely distributed to the security community to support cyber threat report automated analysis.
  arXiv  Detail & Related papers  (2020-04-29T16:45:14Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.