ABSTRACT

Intelligence has been defined in many ways like logic, awareness, reasoning, critical thinking, etc. Many researchers insist on the possibility of a Technological Singularity shortly, which may see machines gaining intelligence similar to, or greater than humans. While many researchers believe that Technological Singularity is at an arm’s length, many counter-question the possibility of the same due to the lack of concrete evidence. Recently Cybersecurity has manoeuvred its way through technology to become one of the most rapidly advancing fields. Artificial Intelligence introduced to Cybersecurity has seen a tremendous increase in the number of systems that are capable of performing tasks faster and better than humans. This has led us to believe that there is intelligence in cyberspace along with the possibility of Cyber Singularity. We emphasise the intelligence of systems using a set of characteristics that insist on how sophisticated the systems have become over time that might lead to Cyber Singularity. We map these characteristics to the characteristics of living species with the hope of locating intelligence in the biomedical domain and further, try to identify systems displaying such characteristics in cyberspace. Keeping in mind the concept of technological singularity proposed before, we also perform an extensive survey of the past research works related to the field and also, use the concepts of set theory to reinforce the possibility of Cyber Singularity in the coming years.

摘要

智能已经以多种方式定义，例如逻辑、意识、推理、批判性思维等。许多研究人员坚持认为技术奇点的可能性很快，这可能会看到机器获得与人类相似或更高的智能。虽然许多研究人员认为技术奇点是一臂之力，但由于缺乏具体证据，许多人反驳了技术奇点的可能性。最近，网络安全通过技术发展成为发展最快的领域之一。引入网络安全的人工智能已经看到能够比人类更快更好地执行任务的系统数量大幅增加。这使我们相信网络空间中存在情报以及网络奇点的可能性。我们使用一组特征来强调系统的智能，这些特征坚持系统随着时间的推移变得多么复杂，这可能会导致网络奇点。我们将这些特征映射到生物物种的特征，希望在生物医学领域定位智能，并进一步尝试识别在网络空间中显示这些特征的系统。牢记之前提出的技术奇点的概念，我们还对该领域过去的研究工作进行了广泛的调查，并使用集合论的概念来加强未来几年网络奇点的可能性。我们将这些特征映射到生物物种的特征，希望在生物医学领域定位智能，并进一步尝试识别在网络空间中显示这些特征的系统。牢记之前提出的技术奇点的概念，我们还对该领域过去的研究工作进行了广泛的调查，并使用集合论的概念来加强未来几年网络奇点的可能性。我们将这些特征映射到生物物种的特征，希望在生物医学领域定位智能，并进一步尝试识别在网络空间中显示这些特征的系统。牢记之前提出的技术奇点的概念，我们还对该领域过去的研究工作进行了广泛的调查，并使用集合论的概念来加强未来几年网络奇点的可能性。