computer security firm Symantec reported that worldwide losses resulting from consumer cybercrime, including malware attacks and phishing, hit $110 billion between July 2011 and the end of July 2012.2 In the UK specifically research from Deloitte found that nearly 4.6 million UK consumers have had th...
computer security firm Symantec reported that worldwide losses resulting from consumer cybercrime, including malware attacks and phishing, hit $110 billion between July 2011 and the end of July 2012.2 In the UK specifically research from Deloitte found that nearly 4.6 million UK consumers have had th...
Defences against Cobalt Strike Cobalt Strike is a commercial, full-featured, penetration testing tool which bills itself as "adversary simulation software designed to execute targeted attacks and emulate the post-exploitation actions of advanced threat actors". Cobalt Strike’s interactive post-exploit ca...
page 16 INFORMATIONAL NEEDS Information is a vital piece in the armour for corporate security analysts defending their organisations against the latest malware threats. VB advisory board member Jeannette Jarvis explains why it is so important for customers and vendors to understand each other's ...
systems, added Lubna Shuja, president of The Law Society. “This new report from NCSC is a timely intervention that will be an essential resource for our members, providing information, practical guidance, and tools to help the legal sector protect the sensitive data it holds against cyber...
(iii) Defences against the attacks: we refer to a list of existing defence techniques, including cryptography, signature-based detection, anomaly-based detection, software vulnerability detection, and malware detection, which can be used to deal with the security challenges in automotive systems. (iv...
Mardy A et al (2018) “Towards Deep learning Models Resistant To Adversarial Attacks,” in ICLR 2018, pp. 1–23 Martins N, Cruz JM, Cruz T, Henriques Abreu P (2020) Adversarial machine learning applied to intrusion and malware scenarios: a systematic review. IEEE Access 8:35403–35419 Art...
This paper first identifies some major security attacks on intelligent connected vehicles. Then, we investigate and summarize the available defences against these attacks and classify them into four categories, including cryptography, network security, software vulnerability detection, and malware detection. ...