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20092026
most citedN-BaIoT: Network-based Detection of IoT Botnet Attacks Using Deep Autoencoders

1.5k citations · 3.1k across the 169 of their papers we have counts for

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Showing 2017 · cs.CRShow all

12 papers · 2 filters

cs.CR2017

aIR-Jumper: Covert Air-Gap Exfiltration/Infiltration via Security Cameras & Infrared (IR)

Mordechai Guri, Dima Bykhovsky, Yuval Elovici

Infrared (IR) light is invisible to humans, but cameras are optically sensitive to this type of light. In this paper, we show how attackers can use surveillance cameras and infrare…

cs.CR2017★ 198 cited

Detection of Unauthorized IoT Devices Using Machine Learning Techniques

Yair Meidan, Michael Bohadana, Asaf Shabtai +4

Security experts have demonstrated numerous risks imposed by Internet of Things (IoT) devices on organizations. Due to the widespread adoption of such devices, their diversity, sta…

cs.CR2017★ 17 cited

Power Consumption-based Detection of Sabotage Attacks in Additive Manufacturing

Samuel B. Moore, Jacob Gatlin, Sofia Belikovetsky +3

Additive Manufacturing (AM), a.k.a. 3D Printing, is increasingly used to manufacture functional parts of safety-critical systems. AM's dependence on computerization raises the conc…

cs.CR2017★ 34 cited

Protecting Military Avionics Platforms from Attacks on MIL-STD-1553 Communication Bus

Orly Stan, Yuval Elovici, Asaf Shabtai +3

MIL-STD-1553 is a military standard that defines the physical and logical layers, and a command/response time division multiplexing of a communication bus used in military and aero…

cs.CR2017★ 12 cited

Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers

Ishai Rosenberg, Asaf Shabtai, Lior Rokach +1

In this paper, we present a black-box attack against API call based machine learning malware classifiers, focusing on generating adversarial sequences combining API calls and stati…

cs.CR2017★ 22 cited

xLED: Covert Data Exfiltration from Air-Gapped Networks via Router LEDs

Mordechai Guri, Boris Zadov, Andrey Daidakulov +1

In this paper we show how attackers can covertly leak data (e.g., encryption keys, passwords and files) from highly secure or air-gapped networks via the row of status LEDs that ex…

cs.CR2017★ 36 cited

DROPWAT: an Invisible Network Flow Watermark for Data Exfiltration Traceback

Alfonso Iacovazzi, Sanat Sarda, Daniel Frassinelli +1

Watermarking techniques have been proposed during the last 10 years as an approach to trace network flows for intrusion detection purposes. These techniques aim to impress a hidden…

cs.CR2017★ 22 cited

Detecting Cyber-Physical Attacks in Additive Manufacturing using Digital Audio Signing

Sofia Belikovetsky, Yosef Solewicz, Mark Yampolskiy +2

Additive Manufacturing (AM, or 3D printing) is a novel manufacturing technology that is being adopted in industrial and consumer settings. However, the reliance of this technology…

cs.CR2017★ 14 cited

HVACKer: Bridging the Air-Gap by Attacking the Air Conditioning System

Yisroel Mirsky, Mordechai Guri, Yuval Elovici

Modern corporations physically separate their sensitive computational infrastructure from public or other accessible networks in order to prevent cyber-attacks. However, attackers…

cs.CR2017★ 8 cited

Oops!...I think I scanned a malware

Ben Nassi, Adi Shamir, Yuval Elovici

This article presents a proof-of-concept illustrating the feasibility of creating a covert channel between a C\&C server and a malware installed in an organization by exploiting an…

cs.CR2017★ 7 cited

LED-it-GO: Leaking (a lot of) Data from Air-Gapped Computers via the (small) Hard Drive LED

Mordechai Guri, Boris Zadov, Eran Atias +1

In this paper we present a method which allows attackers to covertly leak data from isolated, air-gapped computers. Our method utilizes the hard disk drive (HDD) activity LED which…

cs.CR2017★ 16 cited

SIPHON: Towards Scalable High-Interaction Physical Honeypots

Juan Guarnizo, Amit Tambe, Suman Sankar Bhunia +4

In recent years, the emerging Internet-of-Things (IoT) has led to rising concerns about the security of networked embedded devices. In this work, we focus on the adaptation of Hone…