Malik Nadeem Anwar

Jamia Millia Islamia

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Mohammed Nazir

Jamia Millia Islamia

Mohammad Aijaz

Jamia Millia Islamia

Khurram Mustafa

Jamia Millia Islamia

Adeeb Mansoor Ansari

Jamia Millia Islamia

Mohammad Nazir

Sustainability Institute

Mohammad Aijaz

Jamia Millia Islamia

Cooperative Institutions

Jamia Millia Islamia

Taibah University

King Faisal University

Al-Hussein Bin Talal University

Sustainability Institute

Khwaja Fareed University of Engineering and Information Technology

Lampung University

Pakistan Council of Scientific & Industrial Research

University of Modern Sciences

Garden Organic

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Security threats taxonomy: Smart-home perspective

Malik Nadeem Anwar Mohammad Nazir Khurram Mustafa

Smart home is an intelligent set-up of sensors, actuators and protocols giving rise to new class of security and privacy issues. New threats and vulnerabilities being discovered frequently makes the topic more challenging and interesting. Recent security breaches in smart home set-ups has resulted in a decreased adoption and trust among users making it necessary to give a critical look on the topic. Since different class of threats have different characteristics and impact, a formal threat taxonomy scheme, related to smart homes is urgently needed to improve the understanding of threats among researchers and practitioners. This paper proposes a taxonomy of the threats specific to the domain of smart homes along with the brief description of all the possible threats.

Home Automation

10.1109/icaccaf.2017.8344666

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Citations (13)

Generating Attack–Defense Tree by Automatically Retrieving Domain-Specific Security Attack Patterns

Algorithms for intelligent systems (2022)

Mohammad Aijaz Mohammed Nazir Malik Nadeem Anwar

Identification

Security domain

Tree (set theory)

Threat model

10.1007/978-981-19-1653-3_11

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Modeling Security Threats for Smart Cities: A STRIDE-Based Approach

Lecture notes in civil engineering (2020)

Malik Nadeem Anwar Mohammed Nazir Adeeb Mansoor Ansari

STRIDE

10.1007/978-981-15-2545-2_33

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Classification of Security Attacks in Healthcare and associated Cyber-harms

Mohammad Aijaz Mohammed Nazir Malik Nadeem Anwar

The integration of various technologies into healthcare systems provide numerous benefits to end-users. However, these technologies also bring a variety of security attacks aimed at patient data, healthcare operations, and critical assets. These attacks cause harm to patients and healthcare organizations alike. However, there is a lack of appropriate methods for classifying and analyzing these attacks. This paper provides an in-depth insight into the potential attacks to the healthcare system via a taxonomy. It also discusses the associated harms, countermeasures and propagation of harms in the whole system. Overall, this research aims to increase the awareness of the stakeholders by enabling them to identify the potential security attacks, associated cyber-harms and the corresponding mitigations.

Healthcare system

10.1109/icacfct53978.2021.9837349

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Citations (5)