I. Hafeez

Publications
Influence

IoT SENTINEL: Automated Device-Type Identification for Security Enforcement in IoT

M. Miettinen, S. Marchal, I. Hafeez, N. Asokan, A. Sadeghi, Sasu Tarkoma
Computer Science
IEEE 37th International Conference on Distributed…
15 November 2016

We present IoT Sentinel, a system capable of automatically identifying the types of devices being connected to an IoT network and enabling enforcement of rules for constraining the communications of vulnerable devices so as to minimize damage resulting from their compromise. Expand

IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT

M. Miettinen, S. Marchal, +4 authors Sasu Tarkoma
Computer Science
IEEE 37th International Conference on Distributed…
2017

We present our implementation of IoT Sentinel, which is a system aimed at protecting the user's network from vulnerable IoT devices. Expand

IoT-KEEPER: Detecting Malicious IoT Network Activity Using Online Traffic Analysis at the Edge

I. Hafeez, Markku Antikainen, A. Ding, Sasu Tarkoma
Computer Science
IEEE Transactions on Network and Service…
15 January 2020

IoT devices are notoriously vulnerable even to trivial attacks and can be easily compromised. Expand

Securebox: Toward Safer and Smarter IoT Networks

I. Hafeez, A. Ding, Lauri Suomalainen, A. Kirichenko, Sasu Tarkoma
Engineering, Computer Science
CAN@CoNEXT
12 December 2016

We present Securebox, an affordable and deployable platform for securing and managing IoT networks that is dedicated to budget and resource constrained IoT environments. Expand

DNA-LCEB: a high-capacity and mutation-resistant DNA data-hiding approach by employing encryption, error correcting codes, and hybrid twofold and fourfold codon-based strategy for synonymous…

I. Hafeez, A. Khan, A. Qadir
Biology, Computer Science
Medical & Biological Engineering & Computing
7 September 2014

This work presents a high-capacity and mutation-resistant watermarking technique, DNA-LCEB, for hiding secret information in DNA of living organisms. Expand

Toward Secure Edge Networks: Taming Device-to-Device (D2D) Communication in IoT

I. Hafeez, A. Ding, Markku Antikainen, Sasu Tarkoma
Computer Science
ArXiv
16 December 2017

The growing popularity of Internet-of-Things (IoT) has created the need for network-based traffic anomaly detection systems that could identify misbehaving devices. Expand

Demo: Cloud-based Security as a Service for Smart IoT Environments

I. Hafeez, A. Ding, Lauri Suomalainen, Seppo Hätönen, V. Niemi, Sasu Tarkoma
Engineering, Computer Science
S3@MobiCom
11 September 2015

We demonstrate the first cloud-based solution for providing network security as a service in smart home IoT environments. Expand

Real-Time IoT Device Activity Detection in Edge Networks

I. Hafeez, A. Ding, Markku Antikainen, Sasu Tarkoma
Computer Science
NSS
27 August 2018

The growing popularity of Internet-of-Things (IoT) has created the need for network-based traffic anomaly detection systems that could identify misbehaving devices. Expand

IoT-KEEPER: Securing IoT Communications in Edge Networks

I. Hafeez, Markku Antikainen, A. Ding, Sasu Tarkoma
Computer Science
ArXiv
19 October 2018

We present IoT-Keeper, which is a novel system capable of securing the network against any malicious activity, in real time. Expand

IOTURVA: Securing Device-to-Device (D2D) Communication in IoT Networks

I. Hafeez, A. Ding, Sasu Tarkoma
Computer Science, Engineering
CHANTS@MOBICOM
20 October 2017

We present IoTurva, a platform dedicated to securing Device-to-Device (D2D) communication in IoT networks. Expand

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