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. ...
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 ...
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...
(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...
The UK’s legal sector is a prime target for cyberattacks, warns the National Cyber Security Centre.
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...
Generating adversarial malware examples for black-box attacks based on gan (2017) arXiv preprint arXiv:1702.05983 Google Scholar [19] Apruzzese G, Colajanni M, Marchetti M. Evaluating the effectiveness of adversarial attacks against botnet detectors. In: 2019 IEEE 18th international symposium on netw...
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...
In addition, poisoning attacks target training data and due to the need of periodic retraining of a machine learning model this allows poisoning attacks to be used more often and in multiple steps [21]. Prior work on data poisoning has mostly focused on attacking spam filters, malware detection...
In addition, poisoning attacks target training data and due to the need of periodic retraining of a machine learning model this allows poisoning attacks to be used more often and in multiple steps [21]. Prior work on data poisoning has mostly focused on attacking spam filters, malware detection...