Home PURPOSE OF THE CENTER: To develop the center to address state-of-the-art research, create innovating educational programs, and support technology transfers using commercially viable results to assist the Army Research Laboratory to develop the next generation Future Combat System in the telecommunications sector that assures prevention of perceived threats, and Non Line of Sight/Beyond Line of Sight lethal support.

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On cloud security requirements, threats, vulnerabilities and countermeasures: A survey

事情(IoT ) 的因特网针对启用物理世界和电子空间的互联和集成。它代表未来联网的趋势，并且带信息产业革命的第三个波浪。在这篇文章，我们首先介绍某背景和 IoT 的相关技术并且讨论 IoT 的概念和目的。然后，我们在场挑战和关键科学问题在 IoT 包含了开发。而且，我们介绍中国(973 程序) 的国家基本研究程序支持的当前的研究工程。最后，我们构画出未来研究方向。

Internet of Things： Objectives and Scientific Challenges

On the battlefields of the future, multitudes of intelligent things will be communicating, acting, and collaborating with one another and with human warfighters. This will demand major advances in science and technology.

The Internet of Battle Things

Autonomic schemes for threat mitigation in Internet of Things

The Internet of Things (IoT) is gaining momentum as billions of devices and wirelessly connected systems will soon be adopting various IoT technologies and exchanging potentially sensitive information IoT devices can be deployed and linked to cloud services using local Wi-Fi and cellular Internet connections via IPv6 However, as a distributed environment for an open market and a rich source of "big data" with unlimited systems interactions, the IoT would allow attackers to identify many vulnerable targets and to launch their attacks Such vulnerabilities and attacks could have an impact on any number of services and systems within and across different critical infrastructures The major problem is that the existing IoT mechanisms and protocols have not been designed to deal with such challenges Therefore, the security of the IoT has come into question which means that, in order to be secure, the IoT will require robust and secure objects, protocols and systems Recent advances in the fields of IoT such as embedded systems security, industrial malware analysis, detection and prevention are a key factor in the growth of IoT services and operations This paper is concerned with the growing dependence of modern society on wireless technologies and on the role of IoT in the healthcare sector in particular IoT systems and their users are vulnerable to a range of security threats and malicious activities Therefore, rigorous research is required to develop security approaches and technologies that are capable of responding to this new evolving environment This paper presents different risks and security threats to the IoT, some security measures and solution models as well as a vulnerability assessment approach for the IoT in the healthcare sector

Internet of Things Security: A Review of Risks and Threats to Healthcare Sector

In the Internet of Things everything is interconnected. In the same context that “man-made fire” got the party started for human civilisation, “man-made TCP” enabled computing devices to participate in our lives. Today we live in a socially-driven knowledge centred computing era and we are happy in living our lives based on what an Internet alias have said or done. We are prepared to accept any reality as long as it is presented to us in a digitised manner. The Internet of Things is an emerging technology introduced in Smart Devices that will need to be intergrated with the current Information Technology infrastructure in terms of its application and security considerations. In this paper we explore the identity cyberattacks that can be related to Internet of Things and we raise our concerns. We also present a vulnerability assessment model that attempts to predict how an environment can be influenced by this type of attacks.

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Assessing Identity Theft in the Internet of Things

Digital forensics is the science that identify, preserve, collect, validate, analyse, interpret, and report digital evidence that may be relevant in court to solve criminal investigations. Conversely, money launderingis a form of crime that is compromising the internal policies in financial institutions, which is investigated by analysing large amount of transactional financial data. However, the majority of financial institutions have adopted ineffective detection procedures and extensive reporting tasks to detect money laundering without incorporating digital forensic practices to handle evidence. Thus, in this article, we propose an anti-money laundering model by combining digital forensics practices along with database tools and database analysis methodologies. As consequence, admissible Suspicious Activity Reports (SARs) can be generated, based on evidence obtained from forensically analysing database financial logs in compliance with Know-Your-Customer policies for money laundering detection.

Combining Digital Forensic Practices and Database Analysis as an Anti-Money Laundering Strategy for Financial Institutions

The exposure of online identities grows rapidly nowadays and so does the threat of having even more impersonated identities. Internet users provide their private information on multiple web-based agents for a number of reasons, online shopping, memberships, social networking, and many others. However, the number of ID Theft victims grows as well, resulting to the growth of the number of incidents that require computer forensics investigation in order to resolve this type of crime. For this reason, it appears of value to provide a systematic approach for the computer forensics investigators aiming to resolve such type of computer based ID Theft incidents. The issues that demand individual examinations of this type of crime are discussed and the plan of an ID Theft computer forensics investigation framework is presented.

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Olga Angelopoulou

Papers

Internet of Things Security: A Review of Risks and Threats to Healthcare Sector

Assessing Identity Theft in the Internet of Things

Combining Digital Forensic Practices and Database Analysis as an Anti-Money Laundering Strategy for Financial Institutions

ID Theft: A computer forensics' investigation framework

Carfentanil on the darknet: Potential scam or alarming public health threat?