English
Related papers

Related papers: Security - a perpetual war: lessons from nature

200 papers

Despite the efficiency and scalability of machine learning systems, recent studies have demonstrated that many classification methods, especially deep neural networks (DNNs), are vulnerable to adversarial examples; i.e., examples that are…

Cryptography and Security · Computer Science 2021-11-22 Yao Li , Minhao Cheng , Cho-Jui Hsieh , Thomas C. M. Lee

Internet technology is so pervasive today, for example, from online social networking to online banking, it has made people's lives more comfortable. Due the growth of Internet technology, security threats to systems and networks are…

Cryptography and Security · Computer Science 2017-05-30 B. B. Gupta , Nalin Asanka Gamagedara Arachchilage , Konstantinos E. Psannis

Distributed Denial of Service (DDoS) attacks have emerged as a popular means of causing mass targeted service disruptions, often for extended periods of time. The relative ease and low costs of launching such attacks, supplemented by the…

Cryptography and Security · Computer Science 2011-03-18 Jaydip Sen

Evolution Strategies are inspired in biology and part of a larger research field known as Evolutionary Algorithms. Those strategies perform a random search in the space of admissible functions, aiming to optimize some given objective…

Optimization and Control · Mathematics 2007-12-30 Pedro A. F. Cruz , Delfim F. M. Torres

DDoS attacks, also known as distributed denial of service (DDoS) attacks, have emerged as one of the most serious and fastest-growing threats on the Internet. Denial-of-service (DDoS) attacks are an example of cyber attacks that target a…

Cryptography and Security · Computer Science 2022-04-28 Anupama Mishra

Nature has found one method of organizing living matter, but maybe other options exist -- not yet discovered -- on how to create life. To study the life "as it could be" is the objective of an interdisciplinary field called Artificial Life…

Neural and Evolutionary Computing · Computer Science 2021-10-06 Carlos Gershenson , Jitka Cejkova

Inspired by biophysical principles underlying nonlinear dendritic computation in neural circuits, we develop a scheme to train deep neural networks to make them robust to adversarial attacks. Our scheme generates highly nonlinear, saturated…

Machine Learning · Statistics 2017-03-28 Aran Nayebi , Surya Ganguli

We present ideas about creating a next generation Intrusion Detection System based on the latest immunological theories. The central challenge with computer security is determining the difference between normal and potentially harmful…

Neural and Evolutionary Computing · Computer Science 2010-07-05 Uwe Aickelin , Peter Bentley , Steve Cayzer , Kim Jungwon , Julie McLeod

Continual learning refers to the ability of humans and animals to incrementally learn over time in a given environment. Trying to simulate this learning process in machines is a challenging task, also due to the inherent difficulty in…

Computer Vision and Pattern Recognition · Computer Science 2021-09-17 Enrico Meloni , Alessandro Betti , Lapo Faggi , Simone Marullo , Matteo Tiezzi , Stefano Melacci

Cyber-attacks have been one of the deadliest attacks in today's world. One of them is DDoS (Distributed Denial of Services). It is a cyber-attack in which the attacker attacks and makes a network or a machine unavailable to its intended…

Cryptography and Security · Computer Science 2022-01-25 Aman Rangapur , Tarun Kanakam , Ajith Jubilson

In the dynamic realm of cybersecurity, awareness training is crucial for strengthening defenses against cyber threats. This survey examines a spectrum of cybersecurity awareness training methods, analyzing traditional, technology-based, and…

Cryptography and Security · Computer Science 2024-01-23 Saif Al-Dean Qawasmeh , Ali Abdullah S. AlQahtani , Muhammad Khurram Khan

Dependence on information, including for some of the world's largest organisations such as governments and multi-national corporations, has grown rapidly in recent years. However, reports of information security breaches and their…

Computers and Society · Computer Science 2016-06-14 Craig A. Horne , Atif Ahmad , Sean B. Maynard

Synthetic biology is one of the battlefields where the main countries fight for the supremacy in science. The word synthetic biology hides a big world, ready to be explored by interdisciplinary research collaborations. The purpose of this…

Other Quantitative Biology · Quantitative Biology 2014-06-13 Xiaojun Hu , Ronald Rousseau

Robustness to a wide variety of negative factors and the ability to self-repair is an inherent and natural characteristic of all life forms on earth. As opposed to nature, man-made systems are in most cases not inherently robust and a…

Neural and Evolutionary Computing · Computer Science 2016-11-15 Christof Teuscher

Evolution is the theory that plants and animals today have come from kinds that have existed in the past. Scientists such as Charles Darwin and Alfred Wallace dedicate their life to observe how species interact with their environment, grow,…

Neural and Evolutionary Computing · Computer Science 2022-09-16 Manasa Josyula

Recent web-based cyber attacks are evolving into a new form of attacks such as private information theft and DDoS attack exploiting JavaScript within a web page. These attacks can be made just by accessing a web site without distribution of…

Cryptography and Security · Computer Science 2015-02-16 JongHun Jung , Hwan-Kuk Kim , Soojin Yoon

Cybercrime is estimated to cost the global economy almost \$10 trillion annually and with businesses and governments reporting an ever-increasing number of successful cyber-attacks there is a growing demand to rethink the strategy towards…

Cryptography and Security · Computer Science 2024-05-21 Jacob Quibell

This paper concerns the consensus and formation of a network of mobile autonomous agents in adversarial settings where a group of malicious (compromised) agents are subject to deception attacks. In addition, the communication network is…

Multiagent Systems · Computer Science 2024-10-08 Rayan Bahrami , Hamidreza Jafarnejadsani

Backdoor (trojan) attacks embed hidden, controllable behaviors into machine-learning models so that models behave normally on benign inputs but produce attacker-chosen outputs when a trigger is present. This survey reviews the rapidly…

Cryptography and Security · Computer Science 2025-09-10 Bilal Hussain Abbasi , Yanjun Zhang , Leo Zhang , Shang Gao

The design of the defenses Internet systems can deploy against attack, especially adaptive and resilient defenses, must start from a realistic model of the threat. This requires an assessment of the capabilities of the adversary. The design…

Digital Libraries · Computer Science 2007-05-23 David S. H. Rosenthal , Petros Maniatis , Mema Roussopoulos , T. J. Giuli , Mary Baker